Acknowledgement World

Dedication Page for Academic Papers [11 Examples]

The dedication section is where the writer expresses gratitude or others, normally those who have inspired or assisted them in their research and writing. It is usually the shortest page of an academic paper.

The most important thing to remember is that there is NO exact formula for writing a perfect dedication. Dedication is one of the most personal parts of your writing, and you are free to write it however you like.

In this post, we will include examples of dedication for theses, dissertations, research papers and college projects.

  • How to Write a Dedication for a Thesis or Dissertation?
  • Is Acknowledgement and Dedication the Same?

Who to include in the dedication section?

You can choose whomever you want. A dedication section is generally short and focuses on a single person (or specific group of people). It is usually a personal matter to have a dedication section, rather than a professional one.

Dedication Examples for Thesis or Dissertation

Most of the dedications in the thesis or dissertation are dedicated to family and friends.

You can express your feelings on why you want to dedicate your writings to these people specifically in this section.

Here are some of the examples which you can use as an example for writing your dedication for your thesis or dissertation.

Dedication for Dissertation/Thesis: Example #1

Dedication for dissertation/thesis: example #2, dedication for dissertation/thesis: example #3, dedication for dissertation/thesis: example #4, dedication for dissertation/thesis: example #5, dedication for dissertation: example #6, dedication examples for research paper.

Here are some examples of dedication written for research papers.

Dedication for Research Paper: Example #1

DEDICATION I dedicate this research paper to my lovely wife Laura, and my two daughters Dana, and Kareem. To all my family, the symbol of love and giving, and my friends who encourage and support me.

Dedication for Research Paper: Example #2

DEDICATION This research paper is dedicated to my dear father, who has been nicely my supporter until my research was fully finished, and my beloved mother who, for months past, has encouraged me attentively with her fullest and truest attention to accomplish my work with truthful self-confidence.

Dedication for Research Paper: Example #3

DEDICATION This research is dedicated to all the members of group 5 class 21/2012 for their sacrifice and cooperation in researching this paper. Our appreciation goes to MRS KANGETHE and MR KARIUKI for their guidance in the preparation of the final document and to our colleagues in the SMC 21/2012 for their support.

Dedication for College Projects

Here are two examples of dedication for college projects:

Dedication for College Project: Example #1

Dedication for college projects: example #2, other popular acknowledgement examples.

For work or business Acknowledgement Receipt of Payment [4 Examples] Acknowledging Receipt of Documents: A Quick Guide with Examples Acknowledgement for Presentation [9 Examples] Acknowledgement for Job Offer [3 Examples] Acknowledgement for Business Plan [4 Examples] Acknowledgement for Work Immersion [5 Examples] Acknowledgement of Receipt of Appraisal [3 Examples] Acknowledegment of Debt [5 Examples] Resignation Acknowledgement for Employers [5 Examples]

Academic Acknowledgement for Research Paper [5 Examples] Acknowledgement for Internship Report [5 Examples] Acknowledgement for Thesis and Dissertation [15 Examples] Acknowledgement for Portfolio [5 Examples] Acknowledgement for Case Study [4 Examples] Acknowledgement for Academic Research Paper [5 Examples] Acknowledgement for College/School Assignment [5 Examples] Acknowledgemet to God in Reports [5 Examples]

Others Acknowledgement to Funeral Attendees [5 Examples] Funeral Acknowledgement Templates (for Newspapers and Websites) Common Website Disclaimers to Protect Your Online Business Notary Acknowledgement [5 Examples]

How-to Guides on Academic Writing and Others

Most popular How to Write an Acknowledgement: The Complete Guide for Students How to Write an Acknowledgement for College Project? How to Write a Dedication Page for a Thesis or Dissertation? More on acknowledgements How to Write Acknowledgment for a Dissertation or a Thesis? Is Acknowledgement and Dedication the Same? Thesis or Dissertation How to Write a Master’s Thesis: The Ultimate Guide How to Write a Thesis Proposal? How to Write an Abstract for a Thesis? How to Write a Preface for a Thesis? Others How to Write an Introduction for a Research Paper? 7 Real Research Paper Examples to Get You Started How to Write Cover Letter for an Internship Program? How to Write an Internship Acceptance Letter? How to Write a Leave Application? For Schools and the Workplace How to Write a Resignation Letter?

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Dedication in Dissertation: Examples and Guidance

The dedication section of your dissertation is where you can express your appreciation and gratitude to those who have been instrumental in your academic journey. It’s a heartfelt acknowledgment of the support, encouragement, and inspiration provided by individuals or groups that have played a significant role in your life. Below are some examples and guidance for writing a meaningful dedication in your dissertation.

“To my beloved parents,

Your unwavering love, endless support, and sacrifices have been the cornerstone of my academic journey. Your encouragement and belief in my abilities have been my guiding light through the highs and lows of this doctoral pursuit. This dissertation is dedicated to you, with deepest gratitude and love.”

“I dedicate this dissertation to my mentor and friend, Professor [Name],

Your mentorship, wisdom, and encouragement have been instrumental in shaping my academic and professional growth. Your dedication to excellence and passion for research have inspired me to pursue this scholarly endeavor with diligence and determination. This dissertation is a tribute to your guidance and belief in my potential.”

“This dissertation is dedicated to the memory of my dear grandmother, [Name],

Your love, wisdom, and strength continue to inspire me every day. Though you are no longer with us, your spirit lives on in my heart and my work. This dissertation is a testament to your enduring influence and the values you instilled in me.”

Dedication in Dissertation

Guidance for Writing a Dedication

Identify the recipient..

When deciding who or what to dedicate your dissertation to, it’s crucial to reflect on the individuals or entities that have profoundly impacted your academic journey. Consider those who have provided unwavering support, guidance, and inspiration throughout your pursuit of knowledge.

This could include family members whose sacrifices have enabled your education, mentors who have offered invaluable wisdom and encouragement, friends who have stood by you during challenging times, or even influential figures who have shaped your academic interests.

Additionally, it’s essential to recognize entities,, such as organizations or causes, that align with your academic goals and values. By identifying the recipient(s) thoughtfully, you ensure that your dedication carries genuine significance and reflects the essence of your academic journey.

Express Gratitude

The dedication section of your dissertation provides an opportunity to express profound gratitude to those who have contributed to your academic achievements.

Use heartfelt language to convey your appreciation for their support, encouragement, and belief in your abilities. Share specific examples or anecdotes that illustrate their influence on your academic trajectory, highlighting moments where their guidance or presence was particularly impactful.

Whether it’s the sacrifices made by your parents, the mentorship provided by a respected professor, or the enduring legacy of a departed loved one, expressing gratitude allows you to acknowledge the profound influence of these individuals or entities on your academic journey.

Furthermore, by expressing gratitude sincerely and authentically, you honor their invaluable contributions to your personal and intellectual growth, reinforcing the importance of community and support in the pursuit of scholarly endeavors.

In crafting your dedication, brevity is key to maintaining the sincerity and impact of your message. While it’s natural to want to express your gratitude elaborately, it’s important to resist the temptation to include extraneous details that may dilute the essence of your dedication.

Instead, focus on distilling your sentiments into a concise and impactful statement that captures the essence of your appreciation. By keeping your dedication short and to the point, you ensure that the message remains clear and resonates deeply with the intended recipients.

This concise approach not only respects the time and attention of your readers but also allows the sincerity of your gratitude to shine through without being overshadowed by unnecessary embellishments.

In essence, brevity enhances the effectiveness of your dedication, allowing it to leave a lasting impression on your audience.

Consider Relevance

While the dedication section of your dissertation is a personal expression of gratitude, it’s essential to ensure that it remains relevant to the overarching theme or subject matter of your academic work.

Your dedication should align with the context of your research, reflecting the connections between your academic pursuits and the individuals or entities you choose to honor.

Consider how the dedication contributes to the overall narrative of your dissertation, reinforcing themes of support, inspiration, or mentorship that may have influenced your scholarly journey.

By maintaining relevance, you underscore the symbiotic relationship between your academic endeavors and the supportive network that has facilitated your growth and development.

In doing so, your dedication serves not only as a token of appreciation but also as a reflection of the intrinsic ties between personal gratitude and academic excellence.

Personalize Your Message

Infusing your dedication with personal anecdotes, memories, or meaningful experiences can elevate the emotional resonance of your message, making it more heartfelt and impactful.

By sharing specific instances where the recipient(s) played a pivotal role in your academic journey, you not only convey your gratitude but also create a deeper connection between your dedication and the individuals or entities being honored.

Consider recounting memorable interactions, pivotal moments of encouragement, or instances where the recipient(s) provided unwavering support during challenging times.

These personal touches serve to underscore the genuine appreciation you feel towards them and highlight the profound impact of their influence on your academic growth.

Moreover, by weaving personal narratives into your dedication, you create a narrative thread that honors the past and celebrates the enduring bonds forged through shared experiences and mutual support.

Proofread Carefully

Before finalizing your dedication, it’s essential to meticulously proofread it to ensure accuracy, clarity, and appropriateness. Grammatical errors, typos, or inconsistencies can detract from the professionalism of your dissertation and undermine the sincerity of your message.

Take the time to review your dedication carefully, paying close attention to spelling, grammar, punctuation, and overall coherence. Consider seeking feedback from trusted peers, mentors, or advisors to gain fresh perspectives and identify any areas that may require refinement.

Additionally, ensure that the tone and language of your dedication align with the overall style and tone of your dissertation.

By conducting thorough proofreading, you demonstrate attention to detail and a commitment to presenting your work with the utmost professionalism and precision.

Ultimately, a carefully crafted dedication, free from errors and ambiguities, not only enhances the overall quality of your dissertation but also ensures that your message of gratitude is conveyed with clarity and sincerity.

Dedication in Dissertation: Final Remarks

In conclusion, the dedication section of your dissertation serves as a poignant tribute to those who have played a significant role in shaping your academic journey.

By following the guidance provided, you can craft a dedication that honors the individuals or entities that have provided unwavering support, guidance, and inspiration along the way.

From expressing heartfelt gratitude to ensuring conciseness and relevance, each dedication aspect contributes to its overall impact and resonance.

Personalizing your message with anecdotes and memories adds depth and sincerity and strengthens the emotional connection between you and the recipients of your dedication. Furthermore, careful proofreading ensures that your message is communicated with clarity, accuracy, and professionalism, leaving a lasting impression on your readers.

Ultimately, the dedication section is more than just a formality—it’s a meaningful opportunity to express appreciation for the invaluable contributions of others to your academic and personal growth.

Through thoughtful reflection and expression, your dedication becomes a testament to the supportive network that has accompanied you on your scholarly journey, enriching the narrative of your dissertation and reinforcing the importance of gratitude and community in academic endeavors.

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Dedication, acknowledgements, & preface

Dedication, Acknowledgements, and Preface sections are all optional pages. But, what is the difference between these three?

Dedication — A personal tribute to someone or a group of people. Example: "To my parents."

Acknowledgements — A professional tribute to a person or people who helped you with the thesis. Example: "I wish to thank my thesis advisor for the hours of help in the lab making sure the experiments were set up properly and guiding me through the thesis process."

Preface ( sometimes confused with Foreward or Prologue ) — A very rarely included section that details why you are qualified to write about your topic of your thesis or why you became interested in the topic (for example, an anecdote about a childhood incident that led you to become interested in the topic). Do not confuse this with the literature review; this is more of a personal story.

The video below gives more examples of what can be included in these sections. Note: If your dedication is short (like "To my parents"), you may choose not to include the "Dedication" heading at the top of the page. A demonstration of how to format the dedication page this way is shown below.

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How to Write a Dedication

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And the dedication goes to…

When you have finally completed the gruelling yet wonderful process of writing a book, short story , dissertation, etc., you are then faced with the difficult decision of dedicating this source of all your hard work to someone special. Here are some helpful tips to ease your anxiety and assist you in writing a dedication page.

Picking a person 

The most difficult part of writing this piece of front matter is choosing who you would like to dedicate your work to. Some writers may find it to be the most difficult part of the whole process. When choosing who to write your dedication for, think about the process you just went through and who helped you get through it. This could include a variety of people, including a parent, sibling, or other family member, a spouse or partner, a friend, a supervisor, a colleague, or even a pet. This is a very personal choice and there is no wrong decision.

Naming names

After you have decided who you will write your dedication for, you must decide how you are going to identify them. This will be based on your own personal preference and what is appropriate, according to your relationship with that person. The identification could vary from formal to informal.

On the formal end of the spectrum, your dedication could be addressed to Dr. So and So, Mr. X, or even Mother and Father. In between formal and informal, there are options like Mom, Dad, My sister, My friend, a person’s first and last name (no title), etc. On the informal side, you could use the first name or nickname of someone you know.

Reason for the dedication

The next component in writing your dedication is explaining why you chose this person. Many authors provide a reason for their dedication selections. As with the whole dedication process, this is an extremely personal and subjective decision. The dedication could simply be: "For my mom"; others may choose to explain their decision: "For my mom; without her I would not be here." You may want to write a funny anecdote about the person, an experience you shared, or even a private joke shared only by the two of you. As seen in our example dedication page, there are many types of dedications, each with it's own style. Your reason is completely dependent on your personality and your relationship with the person to whom you are dedicating your work.

Addressing the dedication

There are many ways you can address your dedication. You could write, "I dedicate this book to …", "This is dedicated to …", "To: …", "For: …", or simply just start writing your dedication without any formal address. It should be on its own page so everyone will get the hint that it is a dedication page, even if there isn't any formal address. Take into consideration the person you have chosen to dedicate your work to, your personality, and the formality of your relationship and the address will follow suit.

Alternative dedications

It has been extremely popular over the years to write a dedication page using alternative formats. Authors have used poems or funny anecdotes to express their gratitude. In the past, many dedications were often written in the style of a formal letter.

The most important things to remember when writing a dedication are to keep it simple, concise, and ensure that it truly reflects your personality and your relationship with the person the dedication is for. Remember to get your finished dedication edited by one of our book editors . You don't want to overlook calling your spouse the pettiest person in the world when you really meant the prettiest person in the world!

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The Acknowledgements Section

How to write the acknowledgements for your thesis or dissertation

By: Derek Jansen (MBA) | Reviewers: Dr Eunice Rautenbach | January 2024

Writing the acknowledgements section of your thesis might seem straightforward, but it’s more than just a list of names . In this post, we’ll unpack everything you need to know to write up a rock-solid acknowledgements section for your dissertation or thesis.

Overview: The Acknowledgements

  • What (exactly) is the acknowledgements section?

Who should you acknowledge?

  • How to write the section
  • Practical example
  • Free acknowledgements template
  • Key takeaways

What is the acknowledgements section?

The acknowledgements section of your thesis or dissertation is where you give thanks to the people who contributed to your project’s success. Generally speaking, this is a relatively brief, less formal section.  

With the acknowledgements section, you have the opportunity to show appreciation for the guidance, support, and resources provided by others during your research journey. We’ll unpack the exact contents, order and structure of this section in this post.

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Although this is a less “academic” section, acknowledging the right people in the correct order is still important. Typically, you’ll start with the most formal (academic) support received, before moving on to other types of support.

Here’s a suggested order that you can follow when writing up your acknowledgements:

Level 1: Supervisors and academic staff

Start with those who have provided you with academic guidance, including your supervisor, advisors, and other faculty members.

Level 2: Funding bodies or sponsors

If your research was funded, acknowledging these organisations is essential. You don’t need to get into the specifics of the funding, but you should recognise the important role that this made in bringing your project to life.

Level 3: Colleagues and peers

Next you’ll want to mention those who contributed intellectually to your work, including your fellow cohort members and researchers.

Level 4: Family, friends and pets

Last but certainly not least, you should acknowledge your personal (non-academic) support system – those who have provided emotional and moral support. If Fido kept you company during those long nights hunched over the keyboard, you can also thank him here 🙂

As you can see, the order of the acknowledgements goes from the most academic to the least . Importantly, your thesis or dissertation supervisor (sometimes also called an advisor) generally comes first . This is because they are typically the person most involved in shaping your project (or at least, they should be). Plus, they’re oftentimes involved in marking your final work and so a kind word never hurts…

All that said, remember that your acknowledgements section is personal . So, feel free to adjust this order, but do pay close attention to any guidelines or rules provided by your university. If they specify a certain order or set of contents, follow their instructions to the letter.

short dedication for research paper

How to write the acknowledgements section

In terms of style, try to strike a balance between conveying a formal tone and a personal touch . In practical terms, this means that you should use plain, straightforward language (this isn’t the time for heavy academic jargon), but avoid using any slang, nicknames, etc.

As a guide, you’ll typically use some of the following phrases in the acknowledgements section:

I would like to express my appreciation to… for their help with… I’m particularly grateful to… as they provided… I could not have completed this project without… as this allowed me to… Special thanks to… who did… I had the pleasure of working with… who helped me… I’d also like to recognise… who assisted me with…

In terms of positioning, the acknowledgements section is typically in the preliminary matter , most commonly after the abstract and before the table of contents. In terms of length, this section usually spans one to three paragraphs , but there’s no strict word limit (unless your university’s brief states otherwise, of course).

If you’re unsure where to place your acknowledgements or what length to make this section, it’s a good idea to have a look at past dissertations and theses from your university and/or department to get a clearer view of what the norms are.

Aim to use plain, straightforward language with as little jargon as possible. At the same time, avoid using any slang or nicknames.

Practical Example

Alright, let’s look at an example to give you a better idea of what this section looks like in practice.

I would like to express my deepest gratitude to Professor Smith, whose expertise and knowledge were invaluable during this research. My sincere thanks also go to the University Research Fund for their financial support.   I am deeply thankful to my colleagues, John and Jane, for their insightful discussions and moral support. Lastly, I must acknowledge my family for their unwavering love and encouragement. Without your support, this project would not have been possible.

As you can see in this example, the section is short and to the point , working from formal support through to personal support.

To simplify the process, we’ve created a free template for the acknowledgements section. If you’re interested, you can download a copy here .

Dissertation/thesis template for the acknowledgements section

FAQs: Acknowledgements

Can i include some humour in my acknowledgements.

A touch of light humour is okay, but keep it appropriate and professional. Remember that this is still part of an academic document.

Can I acknowledge someone who provided informal or emotional support?

Yes, you can thank anyone who offered emotional support, motivation, or even informal advice that helped you during your studies. This can include friends, family members, or a mentor/coach who provided guidance outside of an academic setting.

Should I mention any challenges or difficulties I faced during my research?

While the acknowledgements section is primarily for expressing gratitude, briefly mentioning significant challenges you overcame can highlight the importance of the support you received. That said, you’ll want to keep the focus on the gratitude aspect and avoid delving too deeply into the challenges themselves.

Can I acknowledge the contribution of participants in my research?

Absolutely. If your research involved participants, especially in fields like social sciences or human studies, acknowledging their contribution is not only courteous but also an ethical practice. It shows respect for their participation and contribution to your research.

How do I acknowledge posthumous gratitude, for someone who passed away during my study period?

Acknowledging a deceased individual who played a significant role in your academic journey can be done respectfully. Mention them in the same way you would a living contributor, perhaps adding a note of remembrance.

For example, “I would like to posthumously acknowledge John McAnders for their invaluable advice and support in the early stages of this research.”.

Is there a limit to the number of people I can acknowledge?

How do i acknowledge a group or organisation.

When thanking a group or organization, mention the entity by name and, if applicable, include specific individuals within the organization who were particularly helpful.

For example, “I extend my thanks to The Speakers Foundation for their support, particularly Mr Joe Wilkins, for their guidance.”

Recap: Key Takeaways

Writing the acknowledgements section of your thesis or dissertation is an opportunity to express gratitude to everyone who helped you along the way.

Remember to:

  • Acknowledge those people who significantly contributed to your research journey
  • Order your thanks from formal support to personal support
  • Maintain a balance between formal and personal tones
  • Keep it concise

In a nutshell, use this section to reflect your appreciation in a genuinely and professionally way.

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Writing Your Dedication and Acknowledgements

When it comes to writing a thesis, the chapters get most of our attention – and so they should! They are the bulk of the thesis, and they contain the actual research. But there are other sections to think about as well, and two of them can be particularly fun to write.

The dedication and acknowledgements pages are where you can show your love and gratitude to the people who have helped you to achieve your goals. They tend to be less prescribed than other sections, so you have a little freedom to get creative in the way you express yourself!

short dedication for research paper

While they might seem similar, there is a difference between the dedications and the acknowledgements. The dedication, as the name suggests, allows you to dedicate your thesis to someone (or multiple people). This is quite a personal matter, and dedications are often made to family members, spouses, friends, or community groups.

The acknowledgements page, by contrast, allows you to express thanks for specific contributions, and often features people that the author knows professionally as well as personally. If a person or group helped you by giving advice, funding, mentorship, editorial assistance, or practical support, it’s a good idea to give them a shout-out in the acknowledgements. This is more than just a courtesy – it’s an important part of maintaining your relationships by formally recognising the people and organisations who have made a contribution to your work.

As an example – I dedicated my PhD thesis to several members of my family, and wrote short personal notes about their contributions. In my acknowledgements section, I thanked my supervisor, a mentor, a friend who provided technical advice during my research, and my scholarship provider.

My dedication and acknowledgements sections were fairly conventional, but that doesn’t mean yours have to be! I’ve heard of writers dedicating their thesis to their pets, their computers, and even their local barista. There have even been rumours of one acknowledgements page which included a coupon for a free beer for anyone whose name was listed!

Other scholars have been known to thank:

  • Public transport providers “for making the task of writing in buses and trains such an enjoyable exercise” ( source )
  • The “spell-check function of Microsoft Word, without whom ‘institution’ would be misspelled differently 197 times” ( source )
  • “The U.S. Immigration Service under the Bush administration, whose visa background security check forced [the author] to spend two months (following an international conference) in a third country, free of routine obligations” ( source )

One enterprising paleontologist even proposed to his girlfriend via the acknowledgements section of his journal article. (She said yes, apparently.)

So if you haven’t already, have a go at drafting your dedication and acknowledgements pages. After all, it’s not often you can gush about your favourite people while still technically being productive!

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Dissertation acknowledgments [with examples]

short dedication for research paper

What are dissertation acknowledgements?

What to consider when writing your dissertation acknowledgments, who to thank in your dissertation acknowledgments, what (and what not) to write in your dissertation acknowledgments, good examples of dissertation acknowledgments, a final word on writing dissertation acknowledgments: have fun, frequently asked questions about dissertation acknowledgments, related articles.

While you may be the sole author of your dissertation, there are lots of people who help you through the process—from your formal dissertation advisors to the friends who may have cooked meals so that you could finish your last chapter . Dissertation acknowledgments are a chance to thank everyone who had a hand in the completion of your project.

Dissertation acknowledgments are a brief statement of your gratitude to advisors, professors, peers, family, and friends for their help and expertise.

In this guide, we’ll cover:

  • the most important things to consider when you’re writing your dissertation acknowledgments
  • who to thank in your dissertation acknowledgments
  • what (and what not) to write in your dissertation acknowledgments
  • short examples of dissertation acknowledgments

Once you’re at the stage where you’re writing your dissertation acknowledgments, you may be tempted to kick back and relax. After all, the hard part of writing the dissertation itself is over and a list of thanks should be simple to churn out.

However, the acknowledgments are an important part of your overall work and are something that most people who read your dissertation, including prospective employers, will look at.

Tip: The best dissertation acknowledgements are concise, sincere, and memorable.

Approach this part of the process, brief as it may be compared to the long haul of writing the dissertation, with the same high level of care and attention to detail. It’s an explicit and permanent statement of who made a real impact on your work and contributed to your academic success.

Plus, the people you thank are often deeply moved by being included—some even go so far as to frame the acknowledgments. Aim to make yours sincere, memorable and something that people will be touched by.

First things first: who should you include in your dissertation acknowledgments? If you’re not sure who to thank, try the brainstorming technique to generate some ideas. Consider these two approaches:

  • Make a list of everyone, both professional and personal, who was involved at any point during your work on your dissertation, and then thin down the list from there.
  • Make a list of the pivotal aspects of your process and think about who was involved and how they helped.

As you select the people and groups to include in your dissertation acknowledgments, keep in mind that it’s essential to acknowledge your supervisor and anyone else with a visible connection to your work.

It’s an unfortunate reality that not every supervisor goes above and beyond to provide feedback and guidance to the students they are supposed to supervise. However, leaving them out, even if you personally felt disappointed by their involvement or lack thereof, could be seen as a snub.

You should end up with a fairly short list of people to thank. While being mindful of professional etiquette and personal feelings, be choosy about who makes the final cut since your acknowledgments should be limited to no more than a page.

Now that you have your list of people and groups to thank, it’s time to start writing. Before your first pen or keystroke, however, check your university’s guidelines as your institution may have specific rules around what can and cannot be included.

The standard practice is to begin with the formal and then progress to the informal, so the first people to mention would be:

  • supervisors
  • committee members
  • other professional contacts

Use their full names and titles and go into brief detail about how they contributed to your work.

Once those are done, you can move on to the personal thanks, which can include friends, family, even pets. If you are so inclined, it is also considered appropriate to thank God or make mention of spiritual support.

You may also choose to inject a little humor at this point, but don’t get carried away and definitely don’t include sarcasm or critical comments of any kind, including self-critical ones. Remember that the acknowledgments precede your dissertation, so you want to be taken seriously.

A couple more basics that are essential when creating your acknowledgments:

  • Position: Acknowledgments should be placed after the title page and before the abstract.
  • Perspective: Write from the first-person perspective and speak in your own voice.

A really good way to get a sense of how to write your own dissertation acknowledgments is to read ones written by others. Notice which ones you respond particularly well to and use them as a model upon which to base your own.

Here are some good examples to help you get started:

I couldn’t have reached this goal without the help of many people in my life. I’d like to take this opportunity to thank them for their support.

First, my sincere thanks to my dissertation committee. The value of their guidance cannot be overstated. Dr. Elaine Gooding and Dr. Matthew Hunter provided much wisdom that helped me chart my course. I couldn’t have asked for a better supervisor than Dr. Fiona Moore, whose knowledge and experience guided me every step of the way.

Next, I’d like to thank my partner, Elliott. Your votes of confidence kept me going when my spirits dipped. I couldn’t have done this without you.

Last but not least, I’d like to acknowledge the emotional support provided by my family and friends. We made it to the top of the mountain! I look forward to celebrating with all of you.

This example is shorter, but still contains the key components:

Several people played a decisive role in my success and I would like to take this opportunity to thank them.

My chair, Dr. Ronald Saulk, provided invaluable support and infinite patience and I am truly grateful for all of his wisdom and guidance. I also owe the entire staff of the Wilhelm Library a debt of gratitude. From tracking down books and arranging for interlibrary loans to keeping the coffee maker in the lobby well-stocked and in good working order, they offered the practical help and kind gestures that made all the difference.

I’d also like to thank my family and God, for always being there for me.

One final piece of advice: enjoy this process. Writing a dissertation doesn’t happen every day, and the opportunity to acknowledge the important people in your life in a published format is as rare as it is wonderful.

What’s more, this part of your dissertation is unlike any other. It’s unbounded by the conventions that apply to the formal work. It’s a chance to really flex some creative muscle and let your personality shine through. So make the most of it and have fun!

In your dissertation acknowledgments, you thank everyone who has contributed to your work or supported you along the way. Who you want to thank is a very personal choice, but you should include your supervisors and anyone else with a visible connection to your work. You may also thank friends, family, and partners.

First, you need to come up with a list of people you want to thank in your dissertation acknowledgments. As a next step, begin with the formal and then progress to the informal, so the first people to mention would be supervisors, mentors, committees, and other professional contacts. Then, you can move on to the personal thanks, which can include friends, family, even pets.

Who you acknowledge in your dissertation is ultimately up to you. You should, however, thank your supervisor and anyone else with a visible connection to your work. Leaving them out, even if you personally felt disappointed by their involvement or lack thereof, could be seen as a snub. In addition, you can thank friends, partners or family.

There are many ways so you can acknowledge your dissertation supervisor. Some examples can be found in this article above. If you need more examples, you can find them here .

While acknowledgments are usually more present in academic theses, they can also be a part of research papers. In academic theses, acknowledgments are usually found at the beginning, somewhere between abstract and introduction. In research papers, acknowledgments are usually found at the end of the paper.

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  • Acknowledgements for PhD Thesis and Dissertations – Explained
  • Doing a PhD

The Purpose of Acknowledgements

The acknowledgement section of a thesis or dissertation is where you recognise and thank those who supported you during your PhD. This can be but is not limited to individuals, institutions or organisations.

Although your acknowledgements will not be used to evaluate your work, it is still an important section of your thesis. This is because it can have a positive (or negative for that matter) influence the perception of your reader before they even reach the main body of your work.

Who Should I Acknowledge?

Acknowledgements for a PhD thesis will typically fall into one of two categories – professional or personal.

Within these categories, who you thank will ultimately be your decision. However, it’s imperative that you pay special attention to the ‘professional’ group. This is because not thanking someone who has played an important role in your studies, whether it be intentional or accidental, will more often than not be seen as a dismissal of their efforts. Not only would this be unfair if they genuinely helped you, but from a certain political aspect, it could also jeopardise any opportunities for future collaborations .

Professional Acknowledgements

This may include, but is not limited to:

  • Funding bodies/sponsorship providers
  • Supervisors
  • Research group and lab assistants
  • Research participants
  • Proofreaders

Personal Acknowledgements

  • Key family members and friends
  • Individuals who inspired you or directly influenced your academic journey
  • Anyone else who has provided personal support that you would like to mention

It should be noted that certain universities have policies which state only those who have directly supported your work, such as supervisors and professors, should be included in your acknowledgements. Therefore, we strongly recommend that you read your university guidelines before writing this section of your thesis.

How to Write Acknowledgements for PhD Thesis

When producing this section, your writing style can be more informal compared to the rest of your thesis. This includes writing in first person and using more emotive language. Although in most cases you will have complete freedom in how you write this section of your thesis, it is still highly advisable to keep it professional. As mentioned earlier, this is largely because it will be one of the first things your assessors will read, and so it will help set the tone for the rest of your work.

In terms of its structure, acknowledgements are expected to be ordered in a manner that first recognises the most formal support before moving onto the less formal support. In most cases, this follows the same order that we have outlined in the ‘Who Should I Thank’ section.

When thanking professionals, always write out their full name and provide their title. This is because although you may be on a first-name basis with them, those who read your thesis will not. By providing full names and titles, not only do you help ensure clarity, but it could also indirectly contribute to the credibility of your thesis should the individual you’re thanking be well known within your field.

If you intend to include a list of people from one institution or organisation, it is best to list their names in alphabetical order. The exception to this is when a particular individual has been of significant assistance; here, it would be advisable to list them.

How Long Should My Acknowledgements Be?

Acknowledgements vary considerably in length. Some are a single paragraph whilst some continue for up to three pages. The length of your acknowledgement page will mostly depend on the number of individuals you want to recognise.

As a general rule, try to keep your acknowledgements section to a single page. Although there are no word limits, creating a lengthy acknowledgements section dilutes the gratitude you’re trying to express, especially to those who have supported you the most.

Where Should My Acknowledgements Go?

In the vast majority of cases, your acknowledgements should appear directly after your abstract and before your table of contents.

However, we highly advise you to check your university guidelines as a few universities set out their own specific order which they will expect you to follow.

Phrases to Help You Get Started

Dissertation acknowledgements example for researchers and PhD students

We appreciate how difficult it can be to truly show how grateful you are to those who have supported you over the years, especially in words.

To help you get started, we’ve provided you with a few examples of sentences that you can complete or draw ideas from.

  • I am deeply grateful to XXX…
  • I would like to express my sincere gratitude to XXX…
  • I would like to offer my special thanks to XXX…
  • I would like to extend my sincere thanks to XXX…
  • …for their assistance at every stage of the research project.
  • …for their insightful comments and suggestions.
  • …for their contribution to XXX.
  • …for their unwavering support and belief in me.

Thesis Acknowledgement Examples

Below are three PhD thesis acknowledgment samples from which you can draw inspiration. It should be noted that the following have been extracted from theses which are freely available in the public domain. Irrespective of this, references to any individual, department or university have been removed for the sake of privacy.

First and foremost I am extremely grateful to my supervisors, Prof. XXX and Dr. XXX for their invaluable advice, continuous support, and patience during my PhD study. Their immense knowledge and plentiful experience have encouraged me in all the time of my academic research and daily life. I would also like to thank Dr. XXX and Dr. XXX for their technical support on my study. I would like to thank all the members in the XXX. It is their kind help and support that have made my study and life in the UK a wonderful time. Finally, I would like to express my gratitude to my parents, my wife and my children. Without their tremendous understanding and encouragement in the past few years, it would be impossible for me to complete my study.

I would like to thank my supervisors Dr. XXX and Dr. XXX for all their help and advice with this PhD. I would also like to thank my sisters, whom without this would have not been possible. I also appreciate all the support I received from the rest of my family. Lastly, I would like to thank the XXX for the studentship that allowed me to conduct this thesis.

I would like to thank my esteemed supervisor – Dr. XXX for his invaluable supervision, support and tutelage during the course of my PhD degree. My gratitude extends to the Faculty of XXX for the funding opportunity to undertake my studies at the Department of XXX, University of XXX. Additionally, I would like to express gratitude to Dr. XXX for her treasured support which was really influential in shaping my experiment methods and critiquing my results. I also thank Dr. XXX, Dr. XXX, Dr. XXX for their mentorship. I would like to thank my friends, lab mates, colleagues and research team – XXX, XXX, XXX, XXX for a cherished time spent together in the lab, and in social settings. My appreciation also goes out to my family and friends for their encouragement and support all through my studies.

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  • How to write a research paper

Last updated

11 January 2024

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With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

  • What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

  • How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms , including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies , or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

  • The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data , conducting interviews, or doing field research .

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research . Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

  • General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research . Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

  • The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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Academia Bees

Acknowledgement for Paper Publication (10 Samples)

July 11, 2023

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By Mohsin Khurshid

Acknowledgement for paper publication is a crucial aspect that recognizes the contributions and support received throughout the research process. It holds significant value in academic papers, showcasing appreciation for the individuals and institutions that have played a role in the study’s success. In this article, we will delve into the importance of acknowledgement in paper publication and provide 10 comprehensive samples to guide you in crafting impactful acknowledgements for your own research. Whether you wish to acknowledge research collaborators, funding sources, mentors, or other individuals who have contributed to your work, these samples will assist you in expressing your gratitude effectively. Join us as we explore the art of acknowledgement and discover how to create acknowledgements that resonate with the collaborative nature of scholarly endeavors.

Table of Contents

  • 1 Understanding the Importance of Acknowledgement
  • 2.1 Sample 1 – Acknowledgement for Research Collaboration
  • 2.2 Sample 2 – Acknowledgement for Funding Support
  • 2.3 Sample 3 – Acknowledgement for Mentorship and Guidance
  • 2.4 Sample 4 – Acknowledgement for Institutional Support
  • 2.5 Sample 5 – Acknowledgement for Peer Reviewers
  • 2.6 Sample 6 – Acknowledgement for Data and Materials
  • 2.7 Sample 7 – Acknowledgement for Technical Assistance
  • 2.8 Sample 8 – Acknowledgement for Editorial or Proofreading Assistance
  • 2.9 Sample 9 – Acknowledgement for Inspiration and Support
  • 2.10 Sample 10 – Acknowledgement for Personal Support
  • 4 Conclusion

Understanding the Importance of Acknowledgement

Acknowledgement plays a crucial role in academic papers, serving multiple purposes within the scholarly community. Firstly, it provides an opportunity for authors to express gratitude and appreciation towards individuals, organizations, or institutions that have contributed to the research project in various ways. These contributions can include financial support, data collection assistance, intellectual guidance, or access to resources.

Beyond mere gratitude, acknowledgement serves as a means of giving credit where it is due. It recognizes the valuable input and collaboration of others, ensuring that their contributions are acknowledged and acknowledged by the academic community. By acknowledging the efforts of others, researchers uphold the principles of academic integrity and promote transparency in the research process.

Ethical considerations are also an integral part of writing an acknowledgement section. Authors must carefully navigate issues such as conflicts of interest, ensuring that they disclose any potential conflicts and maintain objectivity in their acknowledgements. Additionally, it is essential to respect the privacy and confidentiality of individuals mentioned in the acknowledgement, seeking their permission before including their names or affiliations.

Conventions related to acknowledgement may vary across disciplines and academic journals. Authors should familiarize themselves with the specific guidelines and requirements of their target journal to ensure compliance. Some journals may provide templates or specific instructions on how to structure the acknowledgement section, while others may have specific word limits or content restrictions.

In summary, understanding the importance of acknowledgement in academic papers is crucial for researchers. It serves as a means of expressing gratitude, giving credit to contributors, upholding academic integrity, and adhering to ethical considerations. By following conventions and guidelines specific to their field, authors can effectively convey their appreciation and recognition in the acknowledgement section of their paper.

10 Samples of Acknowledgement for Paper Publication

Explore these detailed samples of acknowledgements to effectively acknowledge contributors in your research papers.

Sample 1 – Acknowledgement for Research Collaboration

Acknowledging the collaborative efforts and contributions of research team members is a crucial aspect of the acknowledgement section in academic papers. The following is a detailed sample acknowledgement that demonstrates how to acknowledge research collaborators and team members:

I would like to express my sincere gratitude to the members of the research team who contributed to the successful completion of this study. Their dedication, expertise, and commitment were instrumental in the realization of our research objectives. I am thankful for their valuable insights, collaborative spirit, and unwavering support throughout the project.

I would like to extend my heartfelt appreciation to [Name], [Name], and [Name] for their invaluable contributions to the data collection process. Their meticulous efforts ensured the accuracy and reliability of our research findings. Additionally, I am grateful to [Name] for their assistance in data analysis and interpretation, which greatly enhanced the depth and quality of our research outcomes.

Furthermore, I would like to acknowledge the guidance and mentorship provided by [Name]. Their expertise in [area of expertise] was invaluable in shaping the direction of this research and refining our methodology. Their constructive feedback and insightful suggestions played a pivotal role in elevating the overall quality of this study.

I am also indebted to the support staff and administrators who facilitated the smooth operation of our research activities. Their assistance in securing necessary permissions, organizing logistics, and managing administrative tasks was vital to the success of this project.

Lastly, I would like to express my deep appreciation to the funding agency or organization that provided financial support for this research. Their investment in our work enabled us to conduct this study and make meaningful contributions to the field.

In conclusion, I am immensely grateful to all the individuals who contributed to this research collaboration. Their dedication, expertise, and unwavering support have been instrumental in the accomplishment of our research goals. Without their invaluable contributions, this study would not have been possible.

Sample 2 – Acknowledgement for Funding Support

Acknowledging the financial support received for research is an important aspect of the acknowledgement section in academic papers. The following is a detailed sample acknowledgement that demonstrates how to acknowledge funding support:

I would like to express my sincere appreciation to [Funding Agency/Organization] for their generous financial support of this research project. Their funding played a crucial role in the successful execution of this study and the attainment of our research goals.

The support provided by [Funding Agency/Organization] enabled us to conduct data collection, analysis, and interpretation, as well as cover expenses related to research materials, participant recruitment, and travel, where applicable. Their investment in our work has significantly contributed to the quality and impact of our research findings.

I would also like to extend my gratitude to the grant administrators and program officers at [Funding Agency/Organization] for their guidance and assistance throughout the grant application and management process. Their expertise and support were invaluable in ensuring a smooth and efficient funding experience.

Furthermore, I am grateful to my research team members and collaborators who have contributed their time, expertise, and efforts to this project. Their dedication and hard work have been instrumental in the successful completion of this research.

In conclusion, I am deeply thankful to [Funding Agency/Organization] for their financial support, without which this research would not have been possible. Their investment in our work has made a significant impact and has contributed to advancements in the field. I am truly grateful for their commitment to supporting research and fostering academic growth.

Sample 3 – Acknowledgement for Mentorship and Guidance

Acknowledging the contributions of mentors and advisors is essential in recognizing the guidance and support they have provided throughout the research process. The following is a detailed sample acknowledgement that demonstrates how to acknowledge mentorship and guidance:

I would like to express my heartfelt gratitude to my mentor, [Mentor’s Name], for their invaluable guidance, expertise, and support throughout the course of this research. Their extensive knowledge, insightful feedback, and unwavering encouragement have been instrumental in shaping the direction and quality of this study.

I am truly grateful for [Mentor’s Name]’s dedication and commitment to my academic growth. Their mentorship has not only expanded my understanding of the subject matter but has also enhanced my research skills and critical thinking abilities. Their willingness to invest their time and effort in providing guidance and constructive criticism has greatly contributed to the successful completion of this research project.

I would also like to extend my appreciation to [Advisor’s Name] for their valuable input and advice throughout the research process. Their expertise in [specific field or area] has been invaluable in shaping the methodology and interpretation of the findings. Their constructive feedback and thoughtful suggestions have significantly enhanced the quality and rigor of this study.

Furthermore, I would like to acknowledge the contributions of other members of my research committee, [Committee Member 1’s Name] and [Committee Member 2’s Name]. Their expertise and insights have provided valuable perspectives and have contributed to the overall excellence of this research.

In conclusion, I am sincerely grateful to my mentor, [Mentor’s Name], and my advisor, [Advisor’s Name], for their unwavering support and guidance. Their mentorship and expertise have been transformative in my academic journey, and I am privileged to have had the opportunity to learn from their wisdom and experience.

Sample 4 – Acknowledgement for Institutional Support

Acknowledging the support and resources provided by institutions is crucial in recognizing their contribution to the research project. The following is a detailed sample acknowledgement that demonstrates how to acknowledge institutional support:

I would like to express my sincere gratitude to [Institution’s Name] for their unwavering support and provision of resources throughout the course of this research. The research facilities and infrastructure provided by [Institution’s Name] have played a significant role in the successful completion of this study.

I am grateful for the access to state-of-the-art laboratories, research materials, and technological resources offered by [Institution’s Name]. These resources have been instrumental in conducting experiments, gathering data, and analyzing findings. The research environment provided by [Institution’s Name] has fostered an atmosphere of innovation and collaboration, allowing for the pursuit of academic excellence.

I would also like to extend my appreciation to the administrative staff and personnel at [Institution’s Name] for their assistance and support throughout the research process. Their responsiveness and willingness to provide guidance on administrative matters have been invaluable.

Furthermore, I would like to acknowledge the financial support provided by [Institution’s Name]. The research grants and scholarships awarded by [Institution’s Name] have enabled the realization of this project and have alleviated the financial constraints associated with conducting research.

In conclusion, I am deeply grateful to [Institution’s Name] for their unwavering support, provision of resources, and financial assistance. Their commitment to promoting research and academic excellence has been instrumental in the successful completion of this study.

Sample 5 – Acknowledgement for Peer Reviewers

Acknowledging the contributions of peer reviewers is essential in recognizing their valuable feedback and input towards improving the quality of the research. The following is a detailed sample acknowledgement that demonstrates how to acknowledge peer reviewers:

I would like to extend my heartfelt appreciation to the anonymous peer reviewers who generously dedicated their time and expertise to review and provide constructive feedback on this research paper. Their insightful comments and suggestions have significantly enhanced the quality and rigor of this study.

The meticulous review process conducted by the peer reviewers has played a crucial role in strengthening the methodology, refining the arguments, and improving the overall clarity and coherence of the research. Their expertise and critical evaluation have helped in identifying and addressing potential gaps, ensuring the accuracy and validity of the findings.

I am grateful for the valuable contributions made by the peer reviewers in shaping this paper into its final form. Their commitment to scholarly excellence and their dedication to advancing the field have been instrumental in improving the quality and impact of this research.

While their identities remain anonymous, I would like to express my sincere gratitude to each and every peer reviewer who played a part in the review process. Their time, expertise, and feedback are deeply appreciated.

Sample 6 – Acknowledgement for Data and Materials

Acknowledging the sources of data, materials, or tools used in the research is crucial to give proper credit and recognition. The following is a detailed sample acknowledgement that demonstrates how to acknowledge data and materials:

I would like to express my sincere gratitude to [Name/Organization] for providing access to the [Specify the data/materials/tools] used in this research. Their contribution has been invaluable in facilitating the data collection process and enabling the analysis conducted in this study.

The [Specify the data/materials/tools] have played a pivotal role in the success of this research, providing essential insights, information, and resources that have contributed to the depth and quality of the findings. Without their support and cooperation, this research would not have been possible.

I am deeply appreciative of the efforts made by [Name/Organization] in making the [Specify the data/materials/tools] available and ensuring their reliability and relevance to the research objectives. Their commitment to data sharing and collaborative research has greatly enriched the outcomes of this study.

I would also like to extend my gratitude to the individuals involved in the collection, organization, and maintenance of the [Specify the data/materials/tools]. Their dedication and professionalism have been instrumental in making these resources accessible and usable for this research.

Sample 7 – Acknowledgement for Technical Assistance

Acknowledging the individuals or organizations that provided technical assistance is essential to recognize their contributions. The following is a detailed sample acknowledgement that demonstrates how to acknowledge technical support:

I would like to extend my sincere appreciation to [Name/Organization] for their invaluable technical assistance throughout the course of this research. Their expertise and support have played a crucial role in the successful execution of this project.

The technical assistance provided by [Name/Organization] has been instrumental in overcoming various challenges and ensuring the accuracy and reliability of the experimental procedures. Their guidance and knowledge have greatly enhanced the quality of the data collected and the interpretation of the results.

I am grateful for their willingness to share their expertise and resources, providing guidance on experimental techniques, troubleshooting technical issues, and offering valuable insights into data analysis. Their assistance has significantly contributed to the overall success of this research endeavor.

I would also like to express my gratitude to the individuals within [Name/Organization] who have directly contributed to this project. Their dedication, professionalism, and prompt response to queries have made the research process smoother and more efficient.

Sample 8 – Acknowledgement for Editorial or Proofreading Assistance

Acknowledging the individuals who have contributed to the editing and proofreading process is essential to recognize their valuable contributions. The following is a detailed sample acknowledgement that demonstrates how to acknowledge editorial or proofreading assistance:

I would like to express my sincere gratitude to [Name/Names] for their invaluable assistance in the editing and proofreading of this manuscript. Their keen attention to detail, expertise in language and grammar, and commitment to improving the clarity and readability of the content have significantly enhanced the quality of this work.

The diligent efforts of [Name/Names] in meticulously reviewing the manuscript, suggesting revisions, and providing valuable feedback have played a crucial role in refining the overall structure, organization, and coherence of the document. Their editorial skills have helped to ensure the accuracy and precision of the scientific content, enhancing the credibility and impact of the research findings.

I am deeply appreciative of their dedication and professionalism throughout the editing process. Their constructive criticism, insightful suggestions, and meticulous proofreading have greatly contributed to the refinement of the language, grammar, and style of this manuscript.

I would also like to extend my thanks to [Name/Names] for their timely and efficient collaboration, as well as their willingness to accommodate multiple rounds of revisions. Their commitment to excellence and their commitment to producing a polished final product are greatly appreciated.

Sample 9 – Acknowledgement for Inspiration and Support

Acknowledging the individuals or sources of inspiration that have contributed to the research is important in recognizing their impact on the project. The following is a detailed sample acknowledgement that demonstrates how to acknowledge inspiration and support:

I would like to express my heartfelt gratitude to [Name/Names] for their unwavering support and inspiration throughout this research endeavor. Their encouragement, guidance, and insightful discussions have been instrumental in shaping the direction and depth of this study.

The unwavering support of [Name/Names] has been a constant source of motivation, providing the necessary encouragement to overcome challenges and pursue innovative ideas. Their expertise, wisdom, and constructive feedback have played a pivotal role in refining the research objectives, methodology, and interpretation of findings.

I am also indebted to [Source/Event/Book/Quote] for serving as a source of inspiration and influencing the conceptual framework of this study. The [Source/Event/Book/Quote] has provided valuable insights and perspectives that have guided my thinking and contributed to the overall development of this research.

Additionally, I would like to acknowledge the support and understanding of my family, friends, and colleagues, whose unwavering belief in my abilities has sustained me throughout this research journey. Their encouragement, understanding, and patience have been invaluable, providing the necessary emotional support and creating an environment conducive to pursuing this endeavor.

Sample 10 – Acknowledgement for Personal Support

Acknowledging the emotional support provided by family, friends, and loved ones is essential in recognizing their role in the research process. The following is a detailed sample acknowledgement that demonstrates how to acknowledge personal support:

I would like to express my deepest appreciation to my family, friends, and loved ones for their unwavering support throughout this research journey. Their love, understanding, and encouragement have been the pillars that have kept me motivated and focused during challenging times.

To my [Family Member(s)], your unwavering belief in me and your constant encouragement have been the driving force behind my pursuit of this research. Your sacrifices, understanding, and patience have provided me with the necessary space and time to dedicate myself to this endeavor. I am forever grateful for your unconditional love and support.

I would also like to extend my gratitude to my dear friends who have been a source of inspiration and motivation. Your unwavering belief in my abilities, your listening ear, and your words of encouragement have given me the strength and confidence to overcome obstacles and pursue this research with dedication.

In addition, I am grateful to [Name(s)] for their continuous support, understanding, and patience. Their presence and unwavering support have provided me with the emotional stability and reassurance needed to navigate through the challenges of this research journey.

Finally, I want to express my heartfelt appreciation to all the participants who generously shared their time, experiences, and insights for this research. Without their willingness to contribute, this study would not have been possible.

Sample Acknowledgement for Personal Support in Paper Publication

Also, read tips and samples on writing acknowledgement for your internship report .

Writing an acknowledgement for a paper involves expressing gratitude to individuals or entities who have contributed to the research. It typically includes mentioning the names, roles, and specific contributions of those being acknowledged.

To acknowledge means to recognize and show appreciation for the contributions or support received. In the context of paper publication, it refers to acknowledging the individuals or organizations that have played a role in the research process.

In an acknowledgement section, you can express gratitude to individuals, institutions, or funding agencies that have supported or contributed to the research. You can mention their names, roles, and specific contributions in a sincere and respectful manner.

The correct spelling of “acknowledge” is A-C-K-N-O-W-L-E-D-G-E.

An acknowledgement statement refers to a written expression of gratitude and appreciation towards individuals or organizations for their contributions or support. It is a way to formally recognize their involvement in the research process and show gratitude for their assistance.

In conclusion, acknowledgement plays a vital role in paper publication, allowing researchers to express gratitude and recognize the contributions of individuals and institutions who have supported their work. By acknowledging research collaborators, mentors, funding sources, peer reviewers, and others, researchers demonstrate their appreciation and foster a sense of community within the academic sphere.

It is important to tailor acknowledgements to the specific research context, considering the unique contributions and support received throughout the research process. Each acknowledgement should reflect the genuine appreciation and recognition of those who have played a significant role in the success of the research.

As researchers, let us not underestimate the power of acknowledgement. It not only acknowledges the contributions of others but also serves as a reminder of the collaborative and interconnected nature of academic work. By expressing gratitude and recognizing the efforts of those who have supported us, we contribute to a positive research culture and encourage further collaboration and support in the academic community . In closing, let us remember that acknowledgement is not just a formality but a sincere gesture of appreciation. It is a way to honor the collaborative nature of research and the individuals and institutions that have contributed to our academic journey. May we continue to acknowledge and support one another as we advance knowledge and make meaningful contributions to our respective fields.

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Dedication in Research

Dedication in Research Paper Example

A dedication in research is a written statement included in a research paper or thesis that acknowledges the contributions and support of individuals or organizations that have helped the researcher during their study.

The main purpose of this statement is to express gratitude and appreciation to those who have provided assistance and support throughout the research process. It is a way of recognizing the contributions of others and giving credit where credit is due.

The dedication typically consists of a short paragraph or sentence that is placed at the beginning of the research paper or thesis. It may include the name(s) of the person(s) or organization(s) being acknowledged, as well as a brief statement of appreciation.

Important fields of the dedication include the name(s) of the person(s) or organization(s) being acknowledged, as well as a statement of appreciation. It is important to consider the tone and wording of the dedication, as well as the appropriateness of the acknowledgement.

The parties involved in the dedication are the researcher and the individuals or organizations being acknowledged. It is important for the researcher to carefully consider the contributions of others and to ensure that all necessary acknowledgements are included.

When writing the dedication, the researcher may need to gather information about the individuals or organizations being acknowledged, such as their names and roles in the research process. No additional documents are typically required for this statement.

Application examples of the dedication include research papers, theses, dissertations, and other academic works. Practice and use cases include acknowledging the contributions of advisors, mentors, colleagues, and family members who have provided support and encouragement during the research process.

Strengths of the dedication include its ability to recognize the contributions of others and to express gratitude and appreciation. Weaknesses of the dedication include the potential for omitting important acknowledgements or for including inappropriate or irrelevant acknowledgements. Opportunities of the dedication include its potential to foster positive relationships and to build networks of support. Threats of the dedication include the potential for misunderstandings or disputes regarding the contributions of others.

Dedication in Research Paper Example

Dedication This research project is dedicated to my [family member], whose unwavering love and support have been the driving force behind my academic pursuits. His/Her encouragement and belief in me have been a constant source of inspiration, and I am forever grateful for his/her guidance and wisdom. I would also like to dedicate this work to my [mentor/professor/colleague], whose expertise and guidance have been instrumental in shaping my research skills and knowledge. His/Her mentorship has been an invaluable asset to my academic and professional growth. Finally, I would like to dedicate this research to all those who have been affected by the subject matter of this study. It is my hope that this work will contribute to the advancement of knowledge and understanding in this field, and ultimately lead to positive change and progress. Thank you all for your unwavering support and encouragement throughout this research project.

Related forms include acknowledgements, prefaces, and author bios. Analogues of the dedication include similar statements of appreciation used in other contexts, such as acknowledgements in books or credits in films.

The dedication affects the future of the participants by recognizing their contributions and building positive relationships. The dedication is typically included in the research paper or thesis and is stored as part of the academic work. It may also be shared with the individuals or organizations being acknowledged as a way of expressing gratitude and appreciation.

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How to Write Dedication for Project [Samples & Templates]

Henry Divine Leave a comment

How to Write Dedication for Project [Samples & Templates]

Table of Contents

Meaning of Academic Project

Academic projects are research projects that students carry out in partial fulfillment of the requirement of their course, degree or research. Examples of academic projects include final-year undergraduate dissertations, Masters projects and PhD research .

So regardless of the school or course of study, every student must write an academic project before they graduate. This also true, regardless of the type of program the student is undergoing; whether it be Undergraduate, Masters or PhD program.

Because of its importance, I’m going to dedicate several pages of the website teaching students how best to write different parts of an academic project.

However, on this post, I shall be discussing a very important page of an academic project i.e. Dedication for Project. Join me to the next sections as we begin to explore the meaning of Dedication for Project and lots more.

Read Also: A Guide on How to Write a Book in 3 Dàys

Dedication for Project

Let’s explore a few things about Dedication for Projects.

What is the Meaning of Dedication for Project?

Dedication for Project is a page, usually before the first chapter of a book, where the author offers his warmest gratefulness towards any other person he wishes to pay honor for.

So on this page, the author actually dedicates his work to someone in his life. Normally, dedication for project is not lengthy. In most cases, it is only several sentences long. But it has to be sweet and heartfelt.

Purpose of Dedication for Project

Many years ago, the dedication page was created to serve as a medium for authors to exchange gratitude for money. Normally, the authors would express gratitude to their patrons in exchange for money to finance the book project.

However, in modern times, the Dedication for Project page of any kind of research paper just serves as a way for author to express appreciation for inspiration.

When writing a project, several people expect that you honor them by mentioning them on your dedication page. Maybe because they played one or two roles in your life’s journey. Be that as it may, you have the right to decide who to honor on your dedication for project page.

Academic Projects that Require a Dedication Page

There are different types of academic projects that require a dedication page. They include:

  • Reading / Writing Projects (dissertation, thesis, term paper, book or novel)
  • Information-Data Organizing Projects
  • Major Investigation Projects
  • Design Projects
  • Problem-solving Projects
  • Decision-making Projects

Read Also: How To Write Minutes Of Meeting; Templates & Samples

Important Tips to Remember Before Writing a Dedication for Project Page

The first thing I need you to bear in mind is the fact that the Dedication for Project page is completely optional. This means that it depends on the author’s willingness to either add or remove it.

The next thing you also need to bear in mind is the fact that crafting a dedication for project page is not a difficult thing. In fact, it shouldn’t be a source of worry at all.

However, you need a level of concentration to be able to write a great dedication for your final project. You need to think of the people by whose help you are where you are in your academics. You must craft words to recognize and appreciate their sincere help towards the actualization of your academic goals.

Do your best to be brief and straight to the point when writing your Dedication for Project. And also remember that there is no right or wrong way to write a dedication sentence.

Finally, a Project dedication is made to one or two persons. However, if many people played important roles in the making of the project, you can use your Acknowledgments page to tribute to them.

Read Also: How to Write Letter of Undertaking [Séé Samples]

Steps to Write a Great Dedication for Project Page

1. choose the right person(s) to dedicate your project to.

Many writers believe that this step is the most difficult part of writing a Dedication for Project page. The reason is because several people made diverse contributions to your academic journey and they all deserve your thanks. So it’s very difficult to zero in on one person and dedicate the project to him or her.

There are several people you can thank and they include your parents, spouse or partner, supervisor and so on.

But the process of choosing the one to dedicate your project to should not give you a sleepless night. You already know the important people in your life and the impact they made in your life’s journey at one point or the other. You also know the one(s) who played vital roles in the beginning and completion of your project — for example, through emotional support, financial support or real physical assistance in compiling or gathering data for the book.

Consider dedicating your project to that person.

However, if what you are about to publish is your first project, it is sensible to dedicate it to someone from your family. If there is a second person who also made invaluable contributions to your project, feel free to dedicate the project to the two of them.

But you must ensure that you limit the people to dedicate your project to one, two or three names. At the end of the day, this is a very personal choice and no decision is wrong.

2. Decide How you Want to Address Your Dedication

There are many ways you can address your project dedication. Below are some of the options you could choose from:

  • “This is dedicated to …”
  • “To…”
  • “For…”
  • “I dedicate this book to…”
  • “In dedication to my…”
  • “It is my warmest regard that I dedicate this project to…”

However, you must bear in mind that using any of the above address formats is not compulsory. You may decide to write your dedication for project page without any address.

As long as the dedication for project is on its own page, anyone that reads it will know that it is a dedication.

But however you choose to go about this, you must take into account the formality of your relationship with the person to whom you are dedicating your project and address it to suit.

3. Name the names

At this time, you will need to crystalize steps 1 and 2 above. After you have decided who to dedicate your project to and how to address them, you have to name the names.

The way you name the names depends on your personal preference and what is appropriate, with regards to your relationship with person(s).

In naming names, you can address the person(s) formally, semi-formally or informally.

If you choose to be formal, you may address your dedication to Dr. ABC, Mr. XYZ, Mother or Father.

If you choose to be semi-formal, you may address your dedication to Mom, Dad, My sister, My friend and so on. You can also use a person’s first and last name (no title).

If you choose to go informal, you could use the first name or nickname of the person you wish to dedicate the project to.

4. Give the Reason for the Dedication

It is on this step four that you give the reason why you chose the person you are dedicating the project to. Why did you choose to honor this person on your project dedication page?

Whatever reasons you give will serve as an explanation to both the person your project is dedicated to and your readers. Depending on how you go about the explanation, you may strengthen your bond with the person you dedicated your project to. More so, you may create an emotional connection with your readers.

Don’t forget that the decision to give a reason or offer an explanation is personal and subjective. You may choose not to do so.

5. Write Your Project Dedication Page

It is entirely up to you to decide how you want to write your Dedication for Project page. You have to decide whether it will be lengthy or short. You also need to decide whether it will be in the form of a formal letter, a poem or an anecdote.

More so, you may choose to make your project dedication page to be funny, serious, specific or general, as long as it resonates with your style.

Don’t forget that your Project Dedication page is one of the first pages that your readers will meet in your work. Ensure that you connect with their emotions by making them to smile or even laugh.

Alternative Formats to Write Dedication for Project Page

There are several alternative formats you can use to write Dedication for Project page. You can use poems or funny anecdotes to communicate your gratitude to the one you are dedicating your project to.

You can also write it in the form of a formal letter.

Whichever format you choose is acceptable. What’s very important is to avoid verbosity when writing. Just keep it simple and short, and make sure that it reflects your personality and your relationship with the person you are dedicating the project to.

Read Also: How to Write Letter of Attestation [Séé Samples]

Dedication Examples for a Student Project

The following are Dedication examples for a student project. Some of them are informal, simple or complex.

This one goes to you, Mom.

This is for my mother.

I dedicate this to my sister, who was always there for me, even on the tough days.

This is for my dad. Thanks for teaching me how to make casserole and for all those laughs.

To Rebecca. Thank you for getting us lost in Mexico and eventually getting us found. Keep leading the way.

I dedicate this to Kimberly Marsh, for her outpouring of support when Charlie was hospitalized. Her steadfast commitment, love and dedication will not be forgotten.

In memory of Chuck Thomas. It was a joy to serve you coffee every Thursday. I’ll never forget you.

I dedicate this book to Don Reynolds, who influenced countless people in his too-short time here on earth. I miss you more than words can say. Thank you for believing in my dream. I look forward to the day we meet again.

Read Also: Apology Letter to School Principal: Writing Guide, Format & Samplés

Sample Dedication for Project to Different Parties

To children.

I dedicate this little book to my children. This one is for you, from me, your loving mother.

To all my children. I almost named you after the characters in this book. If you can guess which name was almost yours, no complaining.

To Nate and Jenny. I have nothing but gratitude to you, my children, for reminding me that walking to the beach is just as fun as being there.

To a Friend

This book is dedicated to George. Thanks for encouraging me to write it.

I dedicate this book to my friend and confidante, Johnny Blaack. He was the first person to encourage me to try.

To Melissa R., for being a dedicated reader through all those rounds of revision. This one is for you.

To my parents. Thanks for keeping the interest rates low on everything I owe you.

I dedicate this to my parents, for your constant love and support.

This one is for my parents. Thanks for trying.

Project Dedication Sample

Here is a collection of our Project Dedication Samples. Choose the one that expresses what you have in mind and use it for your project.

Sample Dedication for Project to Different Parties

So here’s where we end this very informative article. We trust that you found the explanations and samples helpful. Really thanking you for visiting this website.

Do remember to share your thoughts with us in the comments section.

Also help us to reach others with this post by sharing with friends on Social Media. Just scroll down to see the Facebook and Twitter and WhatsApp buttons. Thank you so much!

Read Also: How to Write a Letter for Promotion Request [with Samples]

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  • Published: 17 April 2024

A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies

  • Weiwei Zhang 1 &
  • Xinchun Li 1  

BMC Health Services Research volume  24 , Article number:  477 ( 2024 ) Cite this article

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Public health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. The intensive care unit (ICU) is the “last line of defense” for saving lives. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies.

This study estimates the demand for ICU healthcare resources based on an accurate prediction of the surge in the number of critically ill patients in the short term. The aim is to provide hospitals with a basis for scientific decision-making, to improve rescue efficiency, and to avoid excessive costs due to overly large resource reserves.

A demand forecasting method for ICU healthcare resources is proposed based on the number of current confirmed cases. The number of current confirmed cases is estimated using a bilateral long-short-term memory and genetic algorithm support vector regression (BILSTM-GASVR) combined prediction model. Based on this, this paper constructs demand forecasting models for ICU healthcare workers and healthcare material resources to more accurately understand the patterns of changes in the demand for ICU healthcare resources and more precisely meet the treatment needs of critically ill patients.

Data on the number of COVID-19-infected cases in Shanghai between January 20, 2020, and September 24, 2022, is used to perform a numerical example analysis. Compared to individual prediction models (GASVR, LSTM, BILSTM and Informer), the combined prediction model BILSTM-GASVR produced results that are closer to the real values. The demand forecasting results for ICU healthcare resources showed that the first (ICU human resources) and third (medical equipment resources) categories did not require replenishment during the early stages but experienced a lag in replenishment when shortages occurred during the peak period. The second category (drug resources) is consumed rapidly in the early stages and required earlier replenishment, but replenishment is timelier compared to the first and third categories. However, replenishment is needed throughout the course of the epidemic.

The first category of resources (human resources) requires long-term planning and the deployment of emergency expansion measures. The second category of resources (drugs) is suitable for the combination of dynamic physical reserves in healthcare institutions with the production capacity reserves of corporations. The third category of resources (medical equipment) is more dependent on the physical reserves in healthcare institutions, but care must be taken to strike a balance between normalcy and emergencies.

Peer Review reports

Introduction

The outbreak of severe acute respiratory syndrome (SARS) in 2003 was the first global public health emergency of the 21st century. From SARS to the coronavirus disease (COVID-19) pandemic at the end of 2019, followed shortly by the monkeypox epidemic of 2022, the global community has witnessed eight major public health events within the span of only 20 years [ 1 ]. These events are all characterized by high infection and fatality rates. For example, the number of confirmed COVID-19 cases worldwide is over 700 million, and the number of deaths has exceeded 7 million [ 2 ]. Every major public health emergency typically consists of four stages: incubation, outbreak, peak, and decline. During the outbreak and transmission, surges in the number of infected individuals and the number of critically ill patients led to a corresponding increase in the urgent demand for intensive care unit (ICU) medical resources. ICU healthcare resources provide material security for rescue work during major public health events as they allow critically ill patients to be treated, which decreases the case fatality rate and facilitates the prevention and control of epidemics. Nevertheless, in actual cases of prevention and control, the surge in patients has often led to shortages of ICU healthcare resources and a short-term mismatch of supply and demand, which are problems that have occurred several times in different regions. These issues can drastically impact anti-epidemic frontline healthcare workers and the treatment outcomes of infected patients. According to COVID-19 data from recent years, many infected individuals take about two weeks to progress from mild to severe disease. As the peak of severe cases tends to lag behind that of infected cases, predicting the changes in the number of new infections can serve as a valuable reference for healthcare institutions in forecasting the demand for ICU healthcare resources. The accurate forecasting of the demand for ICU healthcare resources can facilitate the rational resource allocation of hospitals under changes in demand patterns, which is crucial for improving the provision of critical care and rescue efficiency. Therefore, in this study, we combined a support vector regression (SVR) prediction model optimized by a genetic algorithm (GA) with bidirectional long-short-term memory (BILSTM), with the aim of enhancing the dynamic and accurate prediction of the number of current confirmed cases. Based on this, we forecasted the demand for ICU healthcare resources, which in turn may enable more efficient resource deployment during severe epidemic outbreaks and improve the precise supply of ICU healthcare resources.

Research on the demand forecasting of emergency materials generally employs quantitative methods, and traditional approaches mainly include linear regression and GM (1,1). Linear regression involves the use of regression equations to make predictions based on data. Sui et al. proposed a method based on multiple regression that aimed to predict the demand for emergency supplies in the power grid system following natural disasters [ 3 ]. Historical data was used to obtain the impact coefficient of each factor on emergency resource forecasting, enabling the quick calculation of the demand for each emergency resource during a given type of disaster. However, to ensure prediction accuracy, regression analysis needs to be supported by data from a large sample size. Other researchers have carried out demand forecasting for emergency supplies from the perspective of grey prediction models. Li et al. calculated the development coefficient and grey action of the grey GM (1,1) model using the particle swarm optimization algorithm to minimize the relative errors between the real and predicted values [ 4 ]. Although these studies have improved the prediction accuracy of grey models, they mainly involve pre-processing the initial data series without considering the issue of the excessively fast increase in predicted values by traditional grey GM (1,1) models. In emergency situations, the excessively fast increase in predicted values compared to real values will result in the consumption of a large number of unnecessary resources, thereby decreasing efficiency and increasing costs. As traditional demand forecasting models for emergency supplies have relatively poor perfect order rates in demand analysis, which result in low prediction accuracy, they are not mainstream.

At present, dynamic models of infectious diseases and demand forecasting models based on machine learning are at the cutting edge of research. With regard to the dynamic models of infectious diseases, susceptible infected recovered model (SIR) is a classic mathematical model employed by researchers [ 5 , 6 , 7 ]. After many years of development, the SIR model has been expanded into various forms within the field of disease transmission, including susceptible exposed infected recovered model (SEIR) and susceptible exposed infected recovered dead model (SEIRD) [ 8 , 9 ]. Nevertheless, with the outbreak of COVID-19, dynamic models of infectious diseases have once again come under the spotlight, with researchers combining individual and group variables and accounting for different factors to improve the initial models and reflect the state of COVID-19 [ 10 , 11 , 12 , 13 ]. Based on the first round of epidemic data from Wuhan, Li et al. predicted the time-delay distributions, epidemic doubling time, and basic reproductive number [ 14 ]. Upon discovering the presence of asymptomatic COVID-19 infections, researchers began constructing different SEIR models that considered the infectivity of various viral incubation periods, yielding their respective predictions of the inflection point. Based on this, Anggriani et al. further considered the impact of the status of infected individuals and established a transmission model with seven compartments [ 15 ]. Efimov et al. set the model parameters for separating the recovered and the dead as uncertain and applied the improved SEIR model to analyze the transmission trend of the pandemic [ 16 ]. In addition to analyzing the transmission characteristics of normal COVID-19 infection to predict the status of the epidemic, many researchers have also used infectious disease models to evaluate the effects of various epidemic preventive measures. Lin et al. applied an SEIR model that considered individual behavioral responses, government restrictions on public gatherings, pet-related transmission, and short-term population movements [ 17 ]. Cao et al. considered the containment effect of isolation measures on the pandemic and solved the model using Euler’s numerical method [ 18 ]. Reiner et al. employed an improved SEIR model to study the impact of non-pharmaceutical interventions implemented by the government (e.g., restricting population movement, enhancing disease testing, and increasing mask use) on disease transmission and evaluated the effectiveness of social distancing and the closure of public spaces [ 19 ]. These studies have mainly focused on modeling the COVID-19 pandemic to perform dynamic forecasting and analyze the effectiveness of control measures during the epidemic. Infectious disease dynamics offer good predictions for the early transmission trends of epidemics. However, this approach is unable to accurately estimate the spread of the virus in open-flow environments. Furthermore, it is also impossible to set hypothetical parameters, such as disease transmissibility and the recovery probability constant, that are consistent with the conditions in reality. Hence, with the increase in COVID-19 data, this approach has become inadequate for the accurate long-term analysis of epidemic trends.

Machine learning has shown significant advantages in this regard [ 20 , 21 ]. Some researchers have adopted the classic case-based reasoning approach in machine learning to make predictions. However, it is not feasible to find historical cases that fully match the current emergency event, so this approach has limited operability. Other researchers have also employed neural network training in machine learning to make predictions. For example, Hamou et al. predicted the number of injuries and deaths, which in turn were used to forecast the demand for emergency supplies [ 22 ]. However, this approach requires a large initial dataset and a high number of training epochs, while uncertainty due to large changes in intelligence information can lead to significant errors in data prediction [ 23 , 24 , 25 ]. To address these problems, researchers have conducted investigations that account (to varying degrees) for data characterized by time-series and non-linearity and have employed time-series models with good non-linear fitting [ 26 , 27 , 28 ]. The use of LSTM to explore relationships within the data can improve the accuracy of predicting COVID-19 to some extent. However, there are two problems with this approach. First, LSTM neural networks require extremely large datasets, and each wave of the epidemic development cycle would be insufficient to support a dataset suitable for LSTM. Second, neural networks involve a large number of parameters and highly complex models and, hence, are susceptible to overfitting, which can prevent them from achieving their true and expected advantages in prediction.

Overall, Our study differs from other papers in the following three ways. First, the research object of this paper focuses on the specific point of ICU healthcare resource demand prediction, aiming to improve the rate of critical care patient treatment. However, past research on public health emergencies has focused more on resource prediction , such as N95 masks, vaccines, and generalized medical supplies during the epidemic , to mitigate the impact of rapid transmission and high morbidity rates. This has led to less attention being paid to the reality of the surge in critically ill patients due to their high rates of severe illness and mortality.

Second, the idea of this paper is to further forecast resource needs based on the projected number of people with confirmed diagnoses, which is more applicable to healthcare organizations than most other papers that only predict the number of people involved. However, in terms of the methodology for projecting the number of people, this paper adopts a combined prediction method that combines regression algorithms and recurrent neural networks to propose a BILSTM-GASVR prediction model for the number of confirmed diagnoses. It capitalizes on both the suitability of SVR for small samples and non-linear prediction as well as the learning and memory abilities of BILSTM in processing time-series data. On the basis of the prediction model for the number of infected cases, by considering the characteristics of ICU healthcare resources, we constructed a demand forecasting model of emergency healthcare supplies. Past public health emergencies are more likely to use infectious disease models or a single prediction model in deep learning. some of the articles, although using a combination of prediction, but also more for the same method domain combination, such as CNN-LSTM, GRU-LSTM, etc., which are all recurrent neural networks.

Third, in terms of specific categorization of resources to be forecasted, considering the specificity of ICU medical resources, we introduce human resource prediction on the basis of previous studies focusing on material security, and classified ICU medical resources into three categories: ICU human resources, drugs and medical equipment. The purpose of this classification is to match the real-life prediction scenarios of public health emergencies and improve the demand forecasting performance for local ICU healthcare resources. Thus, it is easy for healthcare institutions to grasp the overall development of events, optimizing decision-making, and reducing the risk of healthcare systems collapsing during the outbreak stage.

In this section, we accomplish the following two tasks. Firstly, we introduce the idea of predicting the number of infected cases and show the principle of the relevant models. Secondly, based on the number of infected cases, ICU healthcare resources are divided into two categories (healthcare workers and healthcare supplies), and their respective demand forecasting models are constructed.

Prediction model for the number of infected cases

Gasvr model.

Support vector machine (SVM) is a machine-learning language for classification developed by Vapnik [ 29 ]. Suppose there are two categories of samples: H1 and H2. If hyperplane H is able to correctly classify the samples into these two categories and maximize the margin between the two categories, it is known as the optimal separating hyperplane (OSH). The sample vectors closest to the OSH in H1 and H2 are known as the support vectors. To apply SVM to prediction, it is essential to perform regression fitting. By introducing the \(\varepsilon\) -insensitive loss function, SVM can be converted to a support vector regression machine, where the role of the OSH is to minimize the error of all samples from this plane. SVR has a theoretical basis in statistical learning and relatively high learning performance, making it suitable for performing predictions in small-sample, non-linear, and multi-dimensional fields [ 30 , 31 ].

Assume the training sample set containing \(l\) training samples is given by \(\{({x}_{i},{y}_{i}),i=\mathrm{1,2},...,l\}\) , where \({x}_{i}=[{x}_{i}^{1},{x}_{i}^{2},...,{x}_{i}^{d}{]}^{\rm T}\) and \({y}_{i}\in R\) are the corresponding output values.

Let the regression function be \(f(x)=w\Phi (x)+b\) , where \(\phi (x)\) is the non-linear mapping function. The linear \(\varepsilon\) -insensitive loss function is defined as shown in formula ( 1 ).

Among the rest, \(f(x)\) is the predicted value returned by the regression function, and \(y\) is the corresponding real value. If the error between \(f(x)\) and \(y\) is ≤ \(\varepsilon\) , the loss is 0; otherwise, the loss is \(\left|y-f(x)\right|-\varepsilon\) .

The slack variables \({\xi }_{i}\) and \({\xi }_{i}^{*}\) are introduced, and \(w\) , \(b\) are solved using the following equation as shown in formula ( 2 ).

Among the rest, \(C\) is the penalty factor, with larger values indicating a greater penalty for errors > \(\varepsilon\) ; \(\varepsilon\) is defined as the error requirement, with smaller values indicating a smaller error of the regression function.

The Lagrange function is introduced to solve the above function and transformed into the dual form to give the formula ( 3 ).

Among the rest, \(K({x}_{i},{x}_{j})=\Phi ({x}_{i})\Phi ({x}_{j})\) is the kernel function. The kernel function determines the structure of high-dimensional feature space and the complexity of the final solution. The Gaussian kernel is selected for this study with the function \(K({x}_{i},{x}_{j})=\mathit{exp}(-\frac{\Vert {x}_{i}-{x}_{j}\Vert }{2{\sigma }^{2}})\) .

Let the optimal solution be \(a=[{a}_{1},{a}_{2},...,{a}_{l}]\) and \({a}^{*}=[{a}_{1}^{*},{a}_{2}^{*},...,{a}_{l}]\) to give the formula ( 4 ) and formula ( 5 ).

Among the rest, \({N}_{nsv}\) is the number of support vectors.

In sum, the regression function is as shown in formula ( 6 ).

when some of the parameters are not 0, the corresponding samples are the support vectors in the problem. This is the principle of SVR. The values of the three unknown parameters (penalty factor C, ε -insensitive loss function, and kernel function coefficient \(\sigma )\) , can directly impact the model effect. The penalty factor C affects the degree of function fitting through the selection of outliers in the sample by the function. Thus, excessively large values lead to better fit but poorer generalization, and vice versa. The ε value in the ε-insensitive loss function determines the accuracy of the model by affecting the width of support vector selection. Thus, excessively large values lead to lower accuracy that does not meet the requirements and excessively small values are overly complex and increase the difficulty. The kernel function coefficient \(\sigma\) determines the distribution and range of the training sample by controlling the size of inner product scaling in high-dimensional space, which can affect overfitting.

Therefore, we introduce other algorithms for optimization of the three parameters in SVR. Currently the commonly used algorithms are 32and some heuristic algorithms. Although the grid search method is able to find the highest classification accuracy, which is the global optimal solution. However, sometimes it can be time-consuming to find the optimal parameters for larger scales. If a heuristic algorithm is used, we could find the global optimal solution without having to trace over all the parameter points in the grid. And GA is one of the most commonly used heuristic algorithms, compared to other heuristic algorithms, it has the advantages of strong global search, generalizability, and broader blending with other algorithms.

Given these factors, we employ a GA to encode and optimize the relevant parameters of the model. The inputs are the experimental training dataset, the Gaussian kernel function expression, the maximum number of generations taken by the GA, the accuracy range of the optimized parameters, the GA population size, the fitness function, the probability of crossover, and the probability of mutation. The outputs are the optimal penalty factor C, ε-insensitive loss function parameter \(\varepsilon ,\) and optimal Gaussian kernel parameter \(\sigma\) of SVR, thus achieving the optimization of SVR. The basic steps involved in GA optimization are described in detail below, and the model prediction process is shown in Fig. 1 .

figure 1

Prediction process of the GASVR model

Population initialization

The three parameters are encoded using binary arrays composed of 0–1 bit-strings. Each parameter consisted of six bits, and the initial population is randomly generated. The population size is set at 60, and the number of iterations is 200.

Fitness calculation

In the same dataset, the K-fold cross-validation technique is used to test each individual in the population, with K = 5. K-fold cross validation effectively avoids the occurrence of model over-learning and under-learning. For the judgment of the individual, this paper evaluates it in terms of fitness calculations. Therefore, combining the two enables the effective optimization of the model’s selected parameters and improves the accuracy of regression prediction.

Fitness is calculated using the mean error method, with smaller mean errors indicating better fitness. The fitness function is shown in formula ( 7 ) [ 32 ].

The individual’s genotype is decoded and mapped to the corresponding parameter value, which is substituted into the SVR model for training. The parameter optimization range is 0.01 ≤ C ≤ 100, 0.1 ≤ \(\sigma\) ≤ 20, and 0.001 ≤ ε ≤ 1.

Selection: The selection operator is performed using the roulette wheel method.

Crossover: The multi-point crossover operator, in which two chromosomes are selected and multiple crossover points are randomly chosen for swapping, is employed. The crossover probability is set at 0.9.

Mutation: The inversion mutation operator, in which two points are randomly selected and the gene values between them are reinserted to the original position in reverse order, is employed. The mutation probability is set at 0.09.

Decoding: The bit strings are converted to parameter sets.

The parameter settings of the GASVR model built in this paper are shown in Table 1 .

BILSTM model

The LSTM model is a special recurrent neural network algorithm that can remember the long-term dependencies of data series and has an excellent capacity for self-learning and non-linear fitting. LSTM automatically connects hidden layers across time points, such that the output of one time point can arbitrarily enter the output terminal or the hidden layer of the next time point. Therefore, it is suitable for the sample prediction of time-series data and can predict future data based on stored data. Details of the model are shown in Fig. 2 .

figure 2

Schematic diagram of the LSTM model

LSTM consists of a forget gate, an input gate, and an output gate.

The forget gate combines the previous and current time steps to give the output of the sigmoid activation function. Its role is to screen the information from the previous state and identify useful information that truly impacts the subsequent time step. The equation for the forget gate is shown in formula ( 8 ).

Among the number, \(W_{f}\) is the weight of the forget gate, \({b}_{f}\) is the bias, \(\sigma\) is the sigmoid activation function, \({f}_{t}\) is the output of the sigmoid activation function, \(t-1\) is the previous time step, \(t\) is the current time step, and \({x}_{t}\) is the input time-series data at time step \(t\) .

The input gate is composed of the output of the sigmoid and tanh activation functions, and its role is to control the ratio of input information entering the information of a given time step. The equation for the input gate is shown in formula ( 9 ).

Among the number, \({W}_{i}\) is the output weight of the input gate, \({i}_{t}\) is the output of the sigmoid activation function, \({b}_{i}\) and \({b}_{C}\) are the biases of the input gate, and \({W}_{C}\) is the output of the tanh activation function.

The role of the output gate is to control the amount of information output at the current state, and its equation is shown in formula ( 10 ).

Among the number, \({W}_{o}\) is the weight of \({o}_{t}\) , and \({b}_{o}\) is the bias of the output gate.

The values of the above activation functions \(\sigma\) and tanh are generally shown in formulas ( 11 ) and ( 12 ).

\({C}_{t}\) is the data state of the current time step, and its value is determined by the input information of the current state and the information of the previous state. It is shown in formula ( 13 ).

Among the number, \(\widetilde{{C}_{t}}=\mathit{tan}h({W}_{c}[{h}_{t-1},{x}_{t}]+{b}_{c})\) .

\({h}_{t}\) is the state information of the hidden layer at the current time step, \({h}_{t}={o}_{t}\times \mathit{tan}h({c}_{t})\) .Each time step \({T}_{n}\) has a corresponding state \({C}_{t}\) . By undergoing the training process, the model can learn how to modify state \({C}_{t}\) through the forget, output, and input gates. Therefore, this state is consistently passed on, implying that important distant information will neither be forgotten nor significantly affected by unimportant information.

The above describes the principle of LSTM, which involves forward processing when applied. BILSTM consists of two LSTM networks, one of which processes the input sequence in the forward direction (i.e., the original order), while the other inputs the time series in the backward direction into the LSTM model. After processing both LSTM networks, the outputs are combined, which eventually gives the output results of the BILSTM model. Details of the model are presented in Fig. 3 .

figure 3

Schematic diagram of the BILSTM model

Compared to LSTM, BILSTM can achieve bidirectional information extraction of the time-series and connect the two LSTM layers onto the same output layer. Therefore, in theory, its predictive performance should be superior to that of LSTM. In BILSTM, the equations of the forward hidden layer( \(\overrightarrow{{h}_{t}}\) ) , backward hidden layer( \(\overleftarrow{{h}_{t}}\) ) , and output layer( \({o}_{t}\) ) are shown in formulas ( 14 ) , ( 15 ) and ( 16 ).

The parameter settings of the BILSTM model built in this paper are shown in Table 2 .

Informer model

The Informer model follows the compiler-interpreter architecture in the Transformer model, and based on this, structural optimizations have been made to reduce the computational time complexity of the algorithm and to optimize the output form of the interpreter. The two optimization methods are described in detail next.

With large amounts of input data, neural network models can have difficulty capturing long-term interdependencies in sequences, which can produce gradient explosions or gradient vanishing and affect the model's prediction accuracy. Informer model solves the existential gradient problem by using a ProbSparse Self-attention mechanism to make more efficient than conventional self-attention.

The value of Transformer self-attention is shown in formula ( 17 ).

Among them, \(Q\in {R}^{{L}_{Q}\times d}\) is the query matrix, \(K\in {R}^{{L}_{K}\times d}\) is the key matrix, and \(V\in {R}^{{L}_{V}\times d}\) is the value matrix, which are obtained by multiplying the input matrix X with the corresponding weight matrices \({W}^{Q}\) , \({W}^{K}\) , \({W}^{V}\) respectively, and d is the dimensionality of Q, K, and V. Let \({q}_{i}\) , \({k}_{i}\) , \(v_{i}\) represent the ith row in the Q, K, V matrices respectively, then the ith attention coefficient is shown in formula ( 18 ) as follows.

Therein, \(p({k}_{j}|{q}_{i})\) denotes the traditional Transformer's probability distribution formula, and \(k({q}_{i},{K}_{l})\) denotes the asymmetric exponential sum function. Firstly, q=1 is assumed, which implies that the value of each moment is equally important; secondly, the difference between the observed distribution and the assumed one is evaluated by the KL scatter, if the value of KL is bigger, the bigger the difference with the assumed distribution, which represents the more important this moment is. Then through inequality \(ln{L}_{k}\le M({q}_{i},K)\le {\mathit{max}}_{j}\left\{\frac{{q}_{i}{k}_{j}^{\rm T}}{\sqrt{d}}\right\}-\frac{1}{{L}_{k}}{\sum }_{j=1}^{{L}_{k}}\left\{\frac{{q}_{i}{k}_{j}^{\rm T}}{\sqrt{d}}\right\}+ln{L}_{k}\) , \(M({q}_{i},K)\) is transformed into \(\overline{M}({q}_{i},K)\) . According to the above steps, the ith sparsity evaluation formula is obtained as shown in formula ( 19 ) [ 33 ].

One of them, \(M({q}_{i},K)\) denotes the ith sparsity measure; \(\overline{M}({q}_{i},K)\) denotes the ith approximate sparsity measure; \({L}_{k}\) is the length of query vector. \(TOP-u\) quantities of \(\overline{M}\) are selected to form \(\overline{Q}\) , \(\overline{Q}\) is the first u sparse matrices, and the final sparse self-attention is shown in Formula ( 20 ). At this point, the time complexity is still \(O({n}^{2})\) , and to solve this problem, only l moments of M2 are computed to reduce the time complexity to \(O(L\cdot \mathit{ln}(L))\) .

Informer uses a generative decoder to obtain long sequence outputs.Informer uses the standard decoder architecture shown in Fig. 4 , in long time prediction, the input given to the decoder is shown in formula ( 21 ).

figure 4

Informer uses a generative decoder to obtain long sequence outputs

Therein, \({X}_{de}^{t}\) denotes the input to the decoder; \({X}_{token}^{t}\in {R}^{({L}_{token}+{L}_{y})\times {d}_{\mathit{mod}el}}\) is the dimension of the encoder output, which is the starting token without using all the output dimensions; \({X}_{0}^{t}\in {R}^{({L}_{token}+{L}_{y})\times {d}_{\mathit{mod}el}}\) is the dimension of the target sequence, which is uniformly set to 0; and finally the splicing input is performed to the encoder for prediction.

The parameter settings of Informer model created in this paper are shown in Table 3 .

BILSTM-GASVR combined prediction model

SVR has demonstrated good performance in solving problems like finite samples and non-linearity. Compared to deep learning methods, it offers faster predictions and smaller empirical risks. BILSTM has the capacity for long-term memory, can effectively identify data periodicity and trends, and is suitable for the processing of time-series data. Hence, it can be used to identify the effect of time-series on the number of confirmed cases. Given the advantages of these two methods in different scenarios, we combined them to perform predictions using GASVR, followed by error repair using BILSTM. The basic steps for prediction based on the BILSTM-GASVR model are as follows:

Normalization is performed on the initial data.

The GASVR model is applied to perform training and parameter optimization of the data to obtain the predicted value \(\widehat{{y}_{i}}\) .

After outputting the predicted value of GASVR, the residual sequence between the predicted value and real data is extracted to obtain the error \({\gamma }_{i}\) (i.e., \({\gamma }_{i}={y}_{i}-\widehat{{y}_{i}}\) ).

The BILSTM model is applied to perform training of the error to improve prediction accuracy. The BILSTM model in this paper is a multiple input single output model. Its inputs are the true and predicted error values \({\gamma }_{i}\) and its output is the new error value \(\widehat{{\gamma }_{i}}\) predicted by BILSTM.

The final predicted value is the sum of the GASVR predicted value and the BILSTM residual predicted value (i.e., \({Y}_{i}=\widehat{{y}_{i}}+\widehat{{\gamma }_{i}}\) ).

The parameter settings of the BILSTM-GASVR model built in this paper are shown in Table 4 .

Model testing criteria

To test the effect of the model, the prediction results of the BILSTM-GASVR model are compared to those of GASVR, LSTM, BILSTM and Informer. The prediction error is mainly quantified using three indicators: mean squared error (MSE), root mean squared error (RMSE), and correlation coefficient ( \(R^{2}\) ). Their respective equations are shown in formulas ( 22 ), ( 23 ) and ( 24 ).

Demand forecasting model of ICU healthcare resources

ICU healthcare resources can be divided into human and material resources. Human resources refer specifically to the professional healthcare workers in the ICU. Material resources, which are combined with the actual consumption of medical supplies, can be divided into consumables and non-consumables. Consumables refer to the commonly used drugs in the ICU, which include drugs for treating cardiac insufficiency, vasodilators, anti-shock vasoactive drugs, analgesics, sedatives, muscle relaxants, anti-asthmatic drugs, and anticholinergics. Given that public health emergencies have a relatively high probability of affecting the respiratory system, we compiled a list of commonly used drugs for respiratory diseases in the ICU (Table 5 ).

Non-consumables refer to therapeutic medical equipment, including electrocardiogram machines, blood gas analyzers, electrolyte analyzers, bedside diagnostic ultrasound machines, central infusion workstations, non-invasive ventilators, invasive ventilators, airway clearance devices, defibrillators, monitoring devices, cardiopulmonary resuscitation devices, and bedside hemofiltration devices.

The demand forecasting model of ICU healthcare resources constructed in this study, as well as its relevant parameters and definitions, are described below. \({R}_{ij}^{n}\) is the forecasted demand for the \(i\) th category of resources on the \(n\) th day in region \(j\) . \({Y}_{j}^{n}\) is the predicted number of current confirmed cases on the \(n\) th day in region \(j\) . \({M}_{j}^{n}\) is the number of ICU healthcare workers on the \(n\) th day in region \(j\) , which is given by the following formula: number of healthcare workers the previous day + number of new recruits − reduction in number the previous day, where the reduction in number refers to the number of healthcare workers who are unable to work due to infection or overwork. In general, the number of ICU healthcare workers should not exceed 5% of the number of current confirmed cases (i.e., it takes the value range [0, \(Y_{j}^{n}\) ×5%]). \(U_{i}\) is the maximum working hours or duration of action of the \(i\) th resource category within one day. \({A}_{j}\) is the number of resources in the \(i\) th category allocated to patients (i.e., how many units of resources in the \(i\) th category is needed for a patient who need the \(i\) th unit of the given resource). \({\varphi }_{i}\) is the demand conversion coefficient (i.e., the proportion of the current number of confirmed cases who need to use the \(i\) th resource category). \({C}_{ij}^{n}\) is the available quantity of material resources of the \(i\) th category on the \(n\) th day in region \(j\) . At the start, this quantity is the initial reserve, and once the initial reserve is exhausted, it is the surplus from the previous day. The formula for this parameter is given as follows: available quantity from the previous day + replenishment on the previous day − quantity consumed on the previous day, where if \({C}_{ij}^{n}\) is a negative number, it indicates the amount of shortage for the given category of resources on the previous day.

In summary, the demand forecast for emergency medical supplies constructed in this study is shown in formula ( 25 ).

The number of confirmed cases based on data-driven prediction is introduced into the demand forecasting model for ICU resources to forecast the demand for the various categories of resources. In addition to the number of current confirmed cases, the main variables of the first demand forecasting model for human resources are the available quantity and maximum working hours. The main variable of the second demand forecasting model for consumable resources is the number of units consumed by the available quantity. The main variable of the third model for non-consumable resources is the allocated quantity. These three resource types can be predicted using the demand forecasting model constructed in this study.

Prediction of the number of current infected cases

The COVID-19 situation in Shanghai is selected for our experiment. A total of 978 entries of epidemic-related data in Shanghai between January 20, 2020, and September 24, 2022, are collected from the epidemic reporting platform. This dataset is distributed over a large range and belongs to a right-skewed leptokurtic distribution. The specific statistical description of data is shown in Table 6 . Part of the data is shown in Table 7 .

And we divided the data training set and test set in an approximate 8:2 ratio, namely, 798 days for training (January 20, 2020 to March 27, 2022) and 180 days for prediction (March 28, 2022 to September 24, 2022).

Due to the large difference in order of magnitude between the various input features, directly implementing training and model construction would lead to suboptimal model performance. Such effects are usually eliminated through normalization. In terms of interval selection, [0, 1] reflects the probability distribution of the sample, whereas [-1, 1] mostly reflects the state distribution or coordinate distribution of the sample. Therefore, [-1, 1] is selected for the normalization interval in this study, and the processing method is shown in formula ( 26 ).

Among the rest, \(X\) is the input sample, \({X}_{min}\) and \({X}_{max}\) are the minimum and maximum values of the input sample, and \({X}_{new}\) is the input feature after normalization.

In addition, we divide the data normalization into two parts, considering that the amount of data in the training set is much more than the test set in the real operating environment. In the first step, we normalize the training set data directly according to the above formula; in the second step, we normalize the test data set using the maximum and minimum values of the training data set.

The values of the preprocessed data are inserted into the GASVR, LSTM, Informer, BILSTM models and the BILSTM-GASVR model is constructed. Figures 5 , 6 , 7 , 8 and 9 show the prediction results. From Figs. 5 , 6 , and 7 , it can be seen that in terms of data accuracy, GASVR more closely matches the real number of infected people relative to BILSTM and LSTM. Especially in the most serious period of the epidemic in Shanghai (April 17, 2022 to April 30, 2022), the advantage of the accuracy of the predicted data of GASVR is even more obvious, which is due to the characteristics of GASVR for small samples and nonlinear prediction. However, in the overall trend of the epidemic, BILSTM and LSTM, which have the ability to learn and memorize to process time series data, are superior. It is clearly seen that in April 1, 2022-April 7, 2022 and May 10, 2022-May 15, 2022, there is a sudden and substantial increase in GASVR in these two time phases, and a sudden and substantial decrease in April 10, 2022-April 14, 2022. These errors also emphasize the stability of BILSTM and LSTM, which are more closely matched to the real epidemic development situation in the whole process of prediction, and the difference between BILSTM and LSTM prediction is that the former predicts data more accurately than the latter, which is focused on the early stage of prediction as well as the peak period of the epidemic. Informer is currently an advanced time series forecasting method. From Fig. 8 , it can be seen that the prediction data accuracy and the overall trend of the epidemic are better than the single prediction models of GASVR, LSTM and BILSTM. However, Informer is more suitable for long time series and more complex and large prediction problems, so the total sample size of less than one thousand cases is not in the comfort zone of Informer model. Figure 9 shows that the BILSTM-GASVR model constructed in this paper is more suitable for this smaller scale prediction problem, with the best prediction results, closest to the actual parameter (number of current confirmed cases), demonstrating small sample and time series advantages. In Short, the prediction effect of models is ranked as follows: BILSTM-GASVR> Informer> GASVR> BILSTM> LSTM.

figure 5

The prediction result of the GASVR model

figure 6

The prediction result of the LSTM model

figure 7

The prediction result of the BILSTM model

figure 8

The prediction result of the Informer model

figure 9

The prediction result of the BILSTM-GASVR model

The values of the three indicators (MSE, RMSE, and correlation coefficient \({R}^{2}\) ) for the five models are shown in Table 8 . MSE squares the error so that the larger the model error, the larger the value, which help capture the model's prediction error more sensitively. RMSE is MSE with a root sign added to it, which allows for a more intuitive representation of the order of magnitude difference from the true value. \({R}^{2}\) is a statistical indicator used to assess the overall goodness of fit of the model, which reflects the overall consistency of the predicted trend and does not specifically reflect the degree of data. The results in the Table 8 are consistent with the prediction results in the figure above, while the ranking of MSE, RMSE, and \({R}^{2}\) are also the same (i.e., BILSTM-GASVR> Informer> GASVR> BILSTM> LSTM).

In addition, we analyze the five model prediction data using significance tests as a way of demonstrating whether the model used is truly superior to the other baseline models. The test dataset with kurtosis higher than 4 does not belong to the approximate normal distribution, so parametric tests are not used in this paper. Given that the datasets predicted by each of the five models are continuous and independent datasets, this paper uses the Kruskal-Wallis test, which is a nonparametric test. The test steps are as follows.

Determine hypotheses (H0, H1) and significance level ( \(\alpha\) ).

For each data set, all its sample data are combined and ranked from smallest to largest. Then find the number of data items ( \({n}_{i}\) ), rank sum ( \({R}_{i}\) ) and mean rank of each group of data respectively.

Based on the rank sum, the test statistic (H) is calculated for each data set in the Kruskal-Wallis test. The specific calculation is shown in formula ( 27 ).

According to the test statistic and degrees of freedom, find the corresponding p-value in the Kruskal-Wallis distribution table. Based on the P-value, determine whether the original hypothesis is valid.

In the significance test, we set the significance setting original hypothesis (H0) as there is no significant difference between the five data sets obtained from the five predictive models. We set the alternative hypothesis (H1) as there is a significant difference between the five data sets obtained from the five predictive models. At the same time, we choose the most commonly used significance level taken in the significance test, namely 0.05. In this paper, multiple comparisons and two-by-two comparisons of the five data sets obtained from the five predictive models are performed through the SPSS software. The results of the test show that in the multiple comparison session, P=0.001<0.05, so H0 is rejected, which means that the difference between the five groups of data is significant. In the two-by-two comparison session, BILSTM-GASVR is less than 0.05 from the other four prediction models. The specific order of differences is Informer < GASVR < BILSTM < LSTM, which means that the BILSTM-GASVR prediction model does get a statistically significant difference between the dataset and the other models.

In summary, combined prediction using the BILSTM-GASVR model is superior to the other four single models in various aspects in the case study analysis of Shanghai epidemic with a sample size of 978.

Demand forecasting of ICU healthcare resources

Combined with the predicted number of current infected cases, representatives are selected from the three categories of resources for forecasting. The demand for nurses is selected as the representative for the first category of resources.

In view of the fact that there are currently no specific medications that are especially effective for this public health emergency, many ICU treatment measures involved helping patients survive as their own immune systems eliminated the virus. This involved, for example, administering antibiotics when patients developed a secondary bacterial infection. glucocorticoids are used to temporarily suppress the immune system when their immune system attacked and damaged lung tissues causing patients to have difficulty breathing. extracorporeal membrane oxygenation (ECMO) is used for performing cardiopulmonary resuscitation when patients are suffering from cardiac arrest. In this study, we take dexamethasone injection (5 mg), a typical glucocorticoid drug, as the second category of ICU resources (i.e., drugs); and invasive ventilators as the third category of ICU resources (i.e., medical equipment).

During the actual epidemic in Shanghai, the municipal government organized nine critical care teams, which are stationed in eight municipally designated hospitals and are dedicated to the treatment of critically ill patients. In this study, the ICU nurses, dexamethasone injections, and invasive ventilators in Shanghai are selected as the prediction targets and introduced into their respective demand forecasting models. Forecasting of ICU healthcare resources is then performed for the period from March 28, 2022, to April 28, 2022, as an example. Part of the parameter settings for the three types of resources are shown in Tables 9 , 10 , and 11 , respectively.

Table 12 shows the forecasting results of the demand for ICU nurses, dexamethasone injections, and invasive ventilators during the epidemic wave in Shanghai between March 28, 2022, and April 28, 2022.

For the first category (i.e., ICU nurses), human resource support is only needed near the peak period, but the supply could not be replenished immediately. In the early stages, Shanghai could only rely on the nurses’ perseverance, alleviating the shortage of human resources by reducing the number of shifts and increasing working hours. This situation persisted until about April 10 and is only resolved when nurses from other provinces and regions successively arrived in Shanghai.

The second category of ICU resources is drugs, which are rapidly consumed. The pre-event reserve of 30,000 dexamethasone injections could only be maintained for a short period and is fully consumed during the outbreak. Furthermore, daily replenishment is still needed, even when the epidemic has passed its peak and begun its decline.

The third category is invasive ventilators, which are non-consumables. Thus, the reserve lasted for a relatively long period of time in the early stages and did not require replenishment after its maximum usage during the peak period.

Demand forecasting models are constructed based on the classification of healthcare resources according to their respective features. We choose ICU nurses, dexamethasone injections, and invasive ventilators as examples, and then forecast demand for the epidemic wave in Shanghai between March 28, 2022, and April 28, 2022. The main conclusions are as follows:

A long period of time is needed to train ICU healthcare workers who can independently be on duty, taking at least one year from graduation to entering the hospital, in addition to their requiring continuous learning, regular theoretical training, and the accumulation of clinical experience during this process. Therefore, for the first category of ICU healthcare resources, in the long term, healthcare institutions should place a greater emphasis on their talent reserves. Using China as an example, according to the third ICU census, the ratio of the number of ICU physicians to the number of beds is 0.62:1 and the ratio of the number of nurses to the number of beds is 1.96:1, which are far lower than those stipulated by China itself and those of developed countries. Therefore, a fundamental solution is to undertake proactive and systematic planning and construction to ensure the more effective deployment of human resources in the event of a severe outbreak. In the short term, healthcare institutions should focus on the emergency expansion capacity of their human resources. In case there are healthcare worker shortages during emergencies, the situation can be alleviated by summoning retired workers back to work and asking senior medical students from various universities to help in the hospitals to prevent the passive scenario of severely compressing the rest time of existing staff or waiting for external aid. However, it is worth noting that to ensure the effectiveness of such a strategy of using retired healthcare workers or senior students of university medical faculties, it is necessary for healthcare organizations to provide them with regular training in the norm, such as organizing 2-3 drills a year, to ensure the professionalism and proficiency of healthcare workers who are temporarily and suddenly put on the job. At the same time, it is also necessary to fully mobilize the will of individuals. Medical institutions can provide certain subsidies to retired health-care workers and award them with honorable titles. For senior university medical students, volunteer certificates are issued and priority is given to their internships, so that health-care workers can be motivated to self-realization through spiritual and material rewards.

Regarding the second category of ICU resources (i.e., drugs), healthcare institutions perform the subdivision of drug types and carry out dynamic physical preparations based on 15–20% of the service recipient population for clinically essential drugs. This will enable a combination of good preparedness during normal times and emergency situations. In addition, in-depth collaboration with corporations is needed to fully capitalize on their production capacity reserves. This helps medical institutions to be able to scientifically and rationally optimize the structure and quantity of their drug stockpiles to prevent themselves from being over-stressed. Yet the lower demand for medicines at the end of the epidemic led to the problem of excess inventory of enterprises at a certain point in time must be taken into account. So, the medical institutions should sign a strategic agreement on stockpiling with enterprises, take the initiative to bear the guaranteed acquisition measures, and consider the production costs of the cooperative enterprises. These measures are used to truly safeguard the enthusiasm of the cooperative enterprises to invest in the production capacity.

Regarding the third category of ICU resources (i.e., medical equipment), large-scale medical equipment cannot be rapidly mass-produced due to limitations in the capacity for emergency production and conversion of materials. In addition, the bulk procurement of high-end medical equipment is also relatively difficult in the short term. Therefore, it is more feasible for healthcare institutions to have physical reserves of medical equipment, such as invasive ventilators. However, the investment costs of medical equipment are relatively high. Ventilators, for example, cost up to USD $50,000, and subsequent maintenance costs are also relatively high. After all, according to the depreciable life of specialized hospital equipment, the ventilator, as a surgical emergency equipment, is depreciated over five years. And its depreciation rate is calculated at 20% annually for the first five years, which means a monthly depreciation of $835. Thus, the excessively low utilization rate of such equipment will also impact the hospital. Healthcare institutions should, therefore, conduct further investigations on the number of beds and the reserves of ancillary large-scale medical equipment to find a balance between capital investment and patient needs.

The limitations of this paper are reflected in the following three points. Firstly, in the prediction of the number of infections, the specific research object in this paper is COVID-19, and other public health events such as SARS, H1N1, and Ebola are not comparatively analyzed. The main reason for this is the issue of data accessibility, and it is easier for us to analyze events that have occurred in recent years. In addition, using the Shanghai epidemic as a specific case may be more representative of the epidemic situation in an international metropolis with high population density and mobility. Hence, it has certain regional limitations, and subsequent studies should expand the scope of the case study to reflect the characteristics of epidemic transmission in different types of urban areas and enhance the generalizability.

Secondly, the main emphasis of this study is on forecasting the demand for ICU healthcare resources across the entire region of the epidemic, with a greater focus on patient demand during public emergencies. Our aims are to help all local healthcare institutions more accurately identify changes in ICU healthcare resource demand during this local epidemic wave, gain a more accurate understanding of the treatment demands of critically ill patients, and carry out comprehensive, scientifically based decision-making. Therefore, future studies can examine individual healthcare institutions instead and incorporate the actual conditions of individual units to construct multi-objective models. In this way, medical institutions can further grasp the relationship between different resource inputs and the recovery rate of critically ill patients, and achieve the balance between economic and social benefits.

Finally, for the BILSTM-GASVR prediction method, in addition to the number of confirmed diagnoses predicted for an outbreak in a given region, other potential applications beyond this type of medium-sized dataset still require further experimentation. For example, whether the method is suitable for procurement planning of a certain supply in production management, forecasting of goods sales volume in marketing management, and other long-period, large-scale and other situations.

Within the context of major public health events, the fluctuations and uncertainties in the demand for ICU resources can lead to large errors between the healthcare supply and actual demand. Therefore, this study focuses on the question of forecasting the demand for ICU healthcare resources. Based on the number of current confirmed cases, we construct the BILSTM-GASVR model for predicting the number of patients. By comparing the three indicators (MSE, MAPE, and correlation coefficient \(R^{2}\) ) and the results of the BILSTM, LSTM, and GASVR models, we demonstrate that our model have a higher accuracy. Our findings can improve the timeliness and accuracy of predicting ICU healthcare resources and enhance the dynamics of demand forecasting. Hence, this study may serve as a reference for the scientific deployment of ICU resources in healthcare institutions during major public events.

Given the difficulty in data acquisition, only the Shanghai epidemic dataset is selected in this paper, which is one of the limitations mentioned in Part 4. Although the current experimental cases of papers in the same field do not fully conform to this paper, the results of the study cannot be directly compared. However, after studying the relevant reviews and the results of the latest papers, we realize that there is consistency in the prediction ideas and prediction methods [ 34 , 35 ]. Therefore, we summarize the similarities and differences between the results of the study and other research papers in epidemic forecasting as shown below.

Similarities: on the one hand, we all characterize trends in the spread of the epidemic and predict the number of infections over 14 days. On the other hand, we all select the current mainstream predictive models as the basis and combine or improve them. Moreover, we all use the same evaluation method (comparison of metrics such as MSE and realistic values) to evaluate the improvements against other popular predictive models.

Differences: on the one hand, other papers focus more on predictions at the point of the number of patients, such as hospitalization rate, number of infections, etc. This paper extends the prediction from the number of patients to the specific healthcare resources. This paper extends the prediction from the number of patients to specific healthcare resources. We have divided the medical resources and summarized the demand regularities of the three types of information in the epidemic, which provides the basis for decision-making on epidemic prevention to the government or medical institutions. On the other hand, in addition to the two assessment methods mentioned in the same point, this paper assesses the performance of the prediction methods with the help of significance tests, which is a statistical approach to data. This can make the practicality of the forecasting methodology more convincing.

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

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We would like to acknowledge the hard and dedicated work of all the staff that implemented the intervention and evaluation components of the study.

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WWZ and XCL conceived the idea and conceptualised the study. XCL collected the data. WWZ analysed the data. WWZ and XCL drafted the manuscript, then WWZ and XCLreviewed the manuscript. WWZ and XCL read and approved the final draft.

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Zhang, W., Li, X. A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies. BMC Health Serv Res 24 , 477 (2024). https://doi.org/10.1186/s12913-024-10955-8

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DOI : https://doi.org/10.1186/s12913-024-10955-8

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Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

  • Age & Generations
  • Demographic Research
  • Generation X
  • Generation Z
  • Generations
  • Greatest Generation
  • Methodological Research
  • Millennials
  • Silent Generation

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Kim Parker is director of social trends research at Pew Research Center

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ABOUT PEW RESEARCH CENTER  Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of  The Pew Charitable Trusts .

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