dissertation future work section

Surviving Grad School

(and hopefully thriving), how to write: future work/conclusions.

This post is the final part of a series on how to write a paper. The first was on abstracts , the second on introductions , the third on related work and fourth on methodology and analysis of results .

I’m combining future work and conclusions into a single post since they are often found combined in a single section in a paper. While a conclusion is always necessary, sometimes people don’t include future work. While I don’t think it’s always necessary to have a future work section, I would argue that it’s always worthwhile to include some mention of future work.

Let’s start with Future Work .

The future work section is a place for you to explain to your readers where you think the results can lead you. What do you think are the next steps to take? What other questions do your results raise? Do you think certain paths seem to be more promising than others?

Another way to look at the future work section, is a way to sort of “claim” an area of research. This is not to say that others can’t research the same things, but if your paper gets published, it’s out there that you had the idea. This lets people know what you’re thinking of doing next and they may ask to collaborate if your future research area crosses over theirs.

If you do include a future work section, it should be pretty short. The goal should not be to go into a bunch of details, but instead just a sentence or two explaining each idea. It should just provide enough information as to a possible research path and why the path may be important. Motivation is always key in research. I stressed earlier that you need to motivate your research. This also applies to future work. If you can’t motivate a good reason to continue research down some path, then why should/would you?

Conclusions

Conclusions are the last section people read in your paper, and therefore it’s what they leave remembering. You need to make sure they walk away thinking about your paper just the way you want them to.

Your conclusions needs to do three main things:

Recap what you did. In about one paragraph recap what your research question was and how you tackled it.
Highlight the big accomplishments. Spend another paragraph explaining the highlights of your results. These are the main results you want the reader to remember after they put down the paper, so ignore any small details.
Conclude. Finally, finish off with a sentence or two that wraps up your paper. I find this can often be the hardest part to write. You want the paper to feel finished after they read these. One way to do this, is to try and tie your research to the “real world.” Can you somehow relate how your research is important outside of academia? Or, if your results leave you with a big question, finish with that. Put it out there for the reader to think about to.
Optional Before you conclude, if you don’t have a future work section, put in a paragraph detailing the questions you think arise from the work and where you think researchers need to be looking next.

Things to not do in your conclusion:

Introduce new information. The conclusion is for wrapping up everything you’ve done. It’s not a place to say “oh yeah, and we also got result y.” All results should be first presented and detailed in the result section. Think of the conclusion as a place to reflect on what you’ve already said earlier in the paper.
Directly re-quote anything you’ve already written. I’ve seen conclusions that are almost identical to the abstract or a collection of sentences from throughout the paper. As a reader, it makes me think the author was lazy and couldn’t be bothered to actually summarize their results for the paper. Take the time to write a proper conclusion so that the reader walks away with good thoughts about your work.
Write a conclusion longer than your introduction. A conclusion should be short, and to the point. You’ll rarely see them over 3 paragraphs, and three is often long. A lot of the time they are usually only one or two. Think about a conclusion as a chance to see how concisely you can summarize your entire research project. It’s your “30 second” research spiel .

How to Write the Conclusion and Future Work section of Your Dissertation or Thesis?

The conclusion and future work section of a PhD or Post Graduate dissertation serves as the pivotal culmination of extensive research, critical analysis, and scholarly exploration. It is the chapter where the researcher brings their study to a satisfying closure, summarizing the main findings, discussing their implications, and paving the way for future investigations. In this discussion, we will delve into the intricacies of crafting an impactful conclusion and future work section, focusing on their purpose, significance, and key elements.

The conclusion and future work section holds paramount importance in a dissertation, as it encapsulates the essence of the entire research endeavor. It provides a concise and comprehensive summary of the study’s outcomes, reinforcing the significance of the research questions and objectives. By carefully crafting this section, researchers not only reinforce the value of their own work but also contribute to the broader body of knowledge in their respective fields.

Within the conclusion section, the researcher has the opportunity to restate the research questions and objectives, emphasizing their relevance and the study’s focus. This serves as a gentle reminder to the reader, bringing them back to the core aspects of the research. Additionally, summarizing the main findings allows for a concise overview of the research outcomes, enabling readers to grasp the key insights and discoveries at a glance. Moreover, discussing the implications of the findings showcases the researcher’s understanding of how their work contributes to the existing knowledge in the field, addresses gaps, and potentially influences future practices or theories.

Equally crucial is the future work section, which demonstrates the researcher’s awareness of the study’s limitations and presents directions for future research. By acknowledging the constraints and suggesting potential avenues for further investigation, the researcher invites future scholars to build upon the current work, advancing the field and propelling innovation. It is through this section that researchers showcase their thought leadership and forward-thinking mindset, leaving a lasting impact on the academic community.

In the following sections, we will explore the art of writing a conclusion for PhD or Post Graduate dissertation. We will delve into the importance of restating the research questions and objectives, summarizing the main findings, discussing the implications, reflecting on the significance of the research, and providing a concise summary. Additionally, we will examine the significance of the future work section, highlighting its purpose in demonstrating awareness of limitations and offering directions for future research.

By meticulously crafting the conclusion and future work section, researchers can not only conclude their dissertation effectively but also make a lasting impression on readers and inspire the next generation of scholars to push the boundaries of knowledge in their respective fields.

Let us now embark on a journey to uncover the secrets of writing an exceptional conclusion and future work section in a dissertation.

If you are in paucity of time, not confident of your writing skills and in a hurry to complete the writing task then you can think of hiring a research consultant that solves all your problems. Please visit my article on Hiring a Research consultant for your research tasks for further details.

Introduction

A. restating the research questions/objectives, b. summarizing the main findings, c. discussing the implications, d. reflecting on the significance of the research, e. providing a concise summary, writing the future work.

In a dissertation, the conclusion section serves as a crucial component that brings together the research findings and provides a comprehensive summary of the study. It allows researchers to reflect on the implications of their work and discuss potential future directions. – The future work section, on the other hand, highlights the researcher’s awareness of the study’s limitations and provides suggestions for further research to build upon the current work.

The conclusion section consolidates the main findings and insights from the research, emphasizing the significance of the study. It allows the researcher to demonstrate the impact of their work and its contributions to the field.

The future work section offers a forward-looking perspective by identifying areas that warrant further investigation, addressing research gaps, and proposing potential extensions or improvements to the existing research.

Example 1: In the field of computer vision , the conclusion section of a dissertation might summarize the key findings and insights obtained from developing a novel object detection algorithm. It could discuss the algorithm’s performance in terms of accuracy and efficiency, highlighting its potential applications in various domains such as autonomous vehicles, surveillance systems, and medical imaging. The conclusion might also reflect on the challenges faced during the research and suggest improvements or alternative approaches to enhance the algorithm’s performance in future work.

Example 2: In the domain of natural language processing , the conclusion section could summarize the results of a dissertation focused on sentiment analysis in social media data. It might discuss the effectiveness of the proposed sentiment analysis model in capturing the nuances of sentiments expressed in user-generated content. The conclusion could emphasize the practical implications of the research, such as aiding businesses in understanding customer feedback and improving their products or services. The future work section might suggest exploring multilingual sentiment analysis, investigating sentiment evolution over time, or incorporating contextual information for more accurate sentiment classification.

By providing these examples, researchers can understand how the conclusion and future work sections serve as essential components of a dissertation, allowing them to effectively communicate the significance of their research and guide future studies.

Writing the Conclusion

Restating the research questions or objectives in the conclusion section is crucial as it helps the reader remember the main purpose of the study. It serves as a reminder of the specific goals and objectives that guided the research process.

For instance:

“The primary research question of this study aimed to investigate the feasibility of accurately classifying sentiment in social media posts using machine learning techniques. In pursuit of this goal, we designed and implemented a novel sentiment analysis system and evaluated its effectiveness on a diverse dataset. By restating the research question and objectives, we emphasize the primary aim of the study and provide the reader with a clear reminder of the research’s specific focus.”

Restating the research questions or objectives in the conclusion helps create a cohesive conclusion by maintaining the connection between the findings and the original research intent. It allows the reader to see how the research directly addresses the initial questions or objectives.

Summarizing the main findings in the conclusion allows the reader to quickly grasp the essential outcomes of the research. It provides a condensed overview of the key results and insights gained from the study.

Example: Building upon the previous example of developing an automated sentiment analysis system for social media data, let’s consider the main findings of the study. The findings may include the accuracy achieved by the developed system, comparisons with existing approaches, and insights into the challenges and limitations of sentiment analysis in the social media domain.

In the conclusion section, summarizing the main findings would involve providing a concise overview of the key results and insights. For instance:

“Our findings demonstrate that the developed sentiment analysis system achieved an accuracy of 85% on the social media dataset, outperforming existing state-of-the-art approaches by a significant margin. This highlights the effectiveness of incorporating contextual information and deep learning techniques for sentiment classification. Furthermore, the study shed light on the challenges of sentiment analysis in social media due to the presence of slang, abbreviations, and contextual nuances. These insights emphasize the importance of developing robust models that can handle the intricacies of social media data.”

By summarizing the main findings, researchers allow readers to gain a quick understanding of the crucial outcomes and insights obtained from the study. It helps readers identify the key contributions and impact of the research in a concise manner. Summarizing the main findings also assists readers in connecting the dots between the research questions or objectives and the results obtained, providing a clear and coherent picture of the research outcomes.

Moreover, a well-crafted summary of the main findings serves as a reference point for readers, enabling them to recall the significant results without revisiting the entire dissertation. It allows researchers to convey the core contributions of their study efficiently and reinforces the value and relevance of the research in the field of computer science.

Continuing from the previous example of developing an automated sentiment analysis system for social media data, let’s consider the implications of the findings, the research’s contribution to the existing knowledge, and the limitations addressed in the conclusion section.

Discussing the implications of the findings in the conclusion helps provide a broader understanding of the research’s significance. It allows the researcher to explore the practical and theoretical implications of the results and their potential impact on the field.

Analyzing how the research contributes to the existing knowledge in the field helps situate the study within the broader research landscape. It allows the researcher to demonstrate how their work fills gaps, extends current understanding, or challenges existing theories or practices.

“The findings of this study have significant implications for various domains relying on sentiment analysis, such as brand monitoring, market research, and customer feedback analysis. The high accuracy achieved by our sentiment analysis system demonstrates its potential for real-world applications, enabling organizations to gain valuable insights from social media data. The system’s ability to handle contextual nuances and accurately classify sentiment can help businesses make informed decisions and enhance customer satisfaction.” Addressing the limitations or constraints of the study in the conclusion section shows the researcher’s awareness of the study’s boundaries. It also provides an opportunity to suggest areas for future research, building upon the current study’s findings.

“This study contributes to the existing knowledge in sentiment analysis by incorporating deep learning techniques and contextual information specific to social media data. Our research extends current understanding by demonstrating the effectiveness of leveraging these approaches for improved sentiment classification. Additionally, the insights gained from addressing the challenges of sentiment analysis in the social media domain contribute to the ongoing discourse on refining sentiment analysis models for diverse text sources.”

Reflecting on the significance and impact of the research in the broader context of the field allows the researcher to highlight the relevance and importance of their work. It helps the reader understand the broader implications and potential contributions of the research.

Example: Continuing from the previous example of developing an automated sentiment analysis system for social media data

Significance and Impact:

“Reflecting on the significance and impact of our research reveals its potential to revolutionize sentiment analysis methodologies. By developing an accurate sentiment analysis system tailored to social media data, our study addresses a critical need in today’s digitally connected world. The insights gained from this research have far-reaching implications for understanding public sentiment, market trends, and brand perception. Our work has the potential to empower businesses and organizations with actionable insights, leading to informed decision-making and improved customer satisfaction.”

Advancement of Knowledge and Filling Gaps in Existing Literature:

“Our study contributes to advancing the knowledge in sentiment analysis by addressing several gaps in the existing literature. By incorporating deep learning techniques and considering the contextual nuances specific to social media data, our research provides a fresh perspective on sentiment analysis approaches. We extend current understanding by showcasing the effectiveness of these techniques in improving sentiment classification accuracy. Additionally, our work sheds light on the challenges of sentiment analysis in the social media domain, highlighting areas where further research and refinement are required.”

Practical Implications in Real-World Scenarios:

“The practical implications of our research are significant, with potential applications in various domains. Our sentiment analysis system can be leveraged by businesses for brand monitoring, customer feedback analysis, and market research. It enables organizations to gain valuable insights into customer sentiment, enabling them to identify areas for improvement, monitor brand reputation, and make informed business decisions. Furthermore, our work opens avenues for the development of new tools and applications that can assist in sentiment analysis across diverse social media platforms.”

By reflecting on the significance and impact of the research, researchers convey the broader relevance and importance of their work. It allows readers to understand the potential contributions and implications of the research in a wider context.

Explaining how the study advances knowledge and fills gaps in existing literature demonstrates the originality and novelty of the research. It showcases how the research addresses unanswered questions, challenges prevailing methodologies, or provides new insights, thereby contributing to the growth of the field.

Considering the potential practical implications of the research in real-world scenarios helps highlight its relevance and application. It allows researchers to discuss how the findings can be implemented or used to solve real-world problems, thereby bridging the gap between academic research and practical applications.

Overall, by reflecting on the significance and impact, explaining the advancement of knowledge and filling gaps, and considering practical implications, researchers highlight the broader implications and potential contributions of their research. It allows readers to appreciate the relevance, novelty, and practicality of the study, paving the way for future advancements in the field of study.

A concise summary within the conclusion section plays a pivotal role in reinforcing the main points and takeaways from the research. By distilling the essential findings, implications, and future research directions, researchers ensure that readers grasp the core essence of their work.

Highlighting the key points discussed throughout the dissertation reaffirms the significance and contributions of the research. It allows readers to quickly grasp the overarching themes and outcomes, reinforcing the main arguments and supporting evidence presented in the study. By providing a condensed overview of the research, researchers ensure that the core messages resonate with readers, leaving a lasting impact.

A concise and impactful summary also aids in information retention. As readers progress through a lengthy dissertation, a well-crafted summary serves as a mental anchor, reinforcing the most salient aspects of the study. It enables readers to revisit and recall the main findings, implications, and future research possibilities long after they have completed reading the document.

To achieve a concise and impactful summary, researchers should focus on extracting the most relevant and significant elements from each section of the dissertation. They should avoid repetition and prioritize clarity and precision in their language. By distilling complex ideas into digestible snippets, researchers ensure that their summary effectively encapsulates the core essence of their research.

Example: Continuing from the previous example of developing an automated sentiment analysis system for social media data, let’s explore how a concise summary within the conclusion section helps reinforce the main points and takeaways from the research.

“In conclusion, our study on developing an automated sentiment analysis system for social media data has demonstrated significant advancements in the field. By incorporating deep learning techniques and considering contextual nuances, we achieved an accuracy of 85%, surpassing existing state-of-the-art approaches. The practical implications of our research are substantial, with potential applications in brand monitoring, market research, and customer feedback analysis.

Furthermore, our findings contribute to the existing knowledge in sentiment analysis by filling gaps in the literature. We highlight the challenges posed by social media data, such as slang and contextual nuances, and propose future research directions for handling these complexities. This study underscores the importance of refining sentiment analysis models to cater to the unique characteristics of social media platforms.

In summary, our research not only advances sentiment analysis methodologies but also offers valuable insights for businesses and organizations seeking to harness the power of social media data. We emphasize the need for further exploration in adapting sentiment analysis to different domains and languages, as well as refining models to handle sarcasm and irony. Overall, our work showcases the relevance and potential impact of sentiment analysis in today’s digital age.”

In conclusion, a concise summary within the conclusion section is an invaluable tool for reinforcing the main takeaways from the research. By highlighting the key points and delivering them in a concise and impactful manner, researchers leave readers with a clear understanding of the study’s significance and contributions. A well-crafted summary ensures that the main findings and implications resonate with readers long after they have completed reading the dissertation, solidifying the research’s impact in the field.

Including a future work section in a dissertation is significant as it demonstrates the researcher’s understanding of the study’s limitations and the potential for further research. It acknowledges that research is an iterative process and provides valuable insights for future researchers in the field.

The future work section showcases the researcher’s awareness of the limitations and constraints of their study. It acknowledges that there may be unanswered questions, unexplored avenues, or areas that require further investigation. By providing directions for future research, the researcher contributes to the continuous advancement of knowledge in their field.

Example1 : Continuing from the previous example of developing an automated sentiment analysis system for social media data, let’s explore how including a future work section in the conclusion acknowledges the study’s limitations and offers valuable insights for future research.

“The inclusion of a future work section in this dissertation is crucial in acknowledging the limitations of our study and providing a roadmap for future research endeavors. While our research has made significant advancements in sentiment analysis for social media data, several areas warrant further investigation.

Firstly, the scalability of our sentiment analysis system can be explored to handle large volumes of data in real-time. As social media platforms continue to grow, the need for efficient and scalable sentiment analysis techniques becomes paramount.

Additionally, investigating the generalizability of our model across different languages and cultural contexts is an exciting avenue for future research. Adapting sentiment analysis techniques to diverse languages, understanding regional variations in sentiment expressions, and accounting for cultural nuances can enhance the applicability of sentiment analysis in a global context.

Moreover, exploring the integration of multimodal data, such as text, images, and videos, presents an intriguing opportunity. Sentiment analysis systems that can effectively analyze and interpret multimodal content have the potential to offer deeper insights into user sentiments and experiences.

Furthermore, the ethical implications of sentiment analysis in terms of privacy, bias, and fairness need to be thoroughly investigated. Designing and implementing ethical guidelines and frameworks for sentiment analysis can ensure responsible and unbiased use of these technologies.

By including a future work section, we recognize that research is an ongoing process and acknowledge the possibilities for further exploration. This section serves as a valuable resource for future researchers in the field, providing a starting point and suggesting intriguing directions for their investigations.

In summary, the future work section of this dissertation highlights the limitations of our study and opens up exciting avenues for future research. The research community can build upon our work to address the identified challenges, expand the scope of sentiment analysis, and develop more robust and context-aware models. By continually advancing the field, we can enhance the accuracy, applicability, and ethical use of sentiment analysis techniques in the digital age.” Example 2: In the field of data mining, a dissertation might propose a new algorithm for anomaly detection in large-scale datasets. In the future work section, the researcher can acknowledge the limitations of the proposed algorithm, such as its performance on specific types of anomalies or scalability to even larger datasets. They can suggest investigating techniques to handle these challenges, exploring the application of the algorithm to different domains, or evaluating its performance under various real-world scenarios. This demonstrates the researcher’s awareness of the study’s limitations and provides clear directions for future research in improving and extending the anomaly detection algorithm. Example 3: In the domain of computer networks, a dissertation focused on improving network performance might present a novel congestion control mechanism. In the future work section, the researcher can acknowledge potential limitations in the mechanism, such as its adaptability to dynamic network conditions or its interoperability with different network protocols. They can suggest conducting further experiments to evaluate the mechanism’s performance in more complex network topologies, exploring its integration with emerging network technologies, or investigating the impact of various parameters on its effectiveness. This showcases the researcher’s awareness of the study’s limitations and provides concrete guidance for future researchers interested in advancing network performance optimization.

By including a future work section in a dissertation, researchers demonstrate their awareness of the study’s limitations and contribute to the ongoing progress in their field. Providing directions for future research guides the efforts of future researchers and fosters the continuous development of knowledge and innovation.

The conclusion and future work section of a PhD or Post Graduate dissertation holds immense significance as it brings the research journey to a satisfying close while setting the stage for future explorations. Throughout this discussion, we have explored the key elements and best practices for crafting an impactful conclusion that leaves a lasting impression on readers.

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FUTURE RESEARCH

Types of future research suggestion.

The Future Research section of your dissertation is often combined with the Research Limitations section of your final, Conclusions chapter. This is because your future research suggestions generally arise out of the research limitations you have identified in your own dissertation. In this article, we discuss six types of future research suggestion. These include: (1) building on a particular finding in your research; (2) addressing a flaw in your research; examining (or testing) a theory (framework or model) either (3) for the first time or (4) in a new context, location and/or culture; (5) re-evaluating and (6) expanding a theory (framework or model). The goal of the article is to help you think about the potential types of future research suggestion that you may want to include in your dissertation.

Before we discuss each of these types of future research suggestion, we should explain why we use the word examining and then put or testing in brackets. This is simply because the word examining may be considered more appropriate when students use a qualitative research design; whereas the word testing fits better with dissertations drawing on a quantitative research design. We also put the words framework or model in brackets after the word theory . We do this because a theory , framework and model are not the same things. In the sections that follow, we discuss six types of future research suggestion.

Addressing research limitations in your dissertation

Building on a particular finding or aspect of your research, examining a conceptual framework (or testing a theoretical model) for the first time, examining a conceptual framework (or testing a theoretical model) in a new context, location and/or culture.

Expanding a conceptual framework (or testing a theoretical model)

Re-evaluating a conceptual framework (or theoretical model)

In the Research Limitations section of your Conclusions chapter, you will have inevitably detailed the potential flaws (i.e., research limitations) of your dissertation. These may include:

An inability to answer your research questions

Theoretical and conceptual problems

Limitations of your research strategy

Problems of research quality

Identifying what these research limitations were and proposing future research suggestions that address them is arguably the easiest and quickest ways to complete the Future Research section of your Conclusions chapter.

Often, the findings from your dissertation research will highlight a number of new avenues that could be explored in future studies. These can be grouped into two categories:

Your dissertation will inevitably lead to findings that you did not anticipate from the start. These are useful when making future research suggestions because they can lead to entirely new avenues to explore in future studies. If this was the case, it is worth (a) briefly describing what these unanticipated findings were and (b) suggesting a research strategy that could be used to explore such findings in future.

Sometimes, dissertations manage to address all aspects of the research questions that were set. However, this is seldom the case. Typically, there will be aspects of your research questions that could not be answered. This is not necessarily a flaw in your research strategy, but may simply reflect that fact that the findings did not provide all the answers you hoped for. If this was the case, it is worth (a) briefly describing what aspects of your research questions were not answered and (b) suggesting a research strategy that could be used to explore such aspects in future.

You may want to recommend that future research examines the conceptual framework (or tests the theoretical model) that you developed. This is based on the assumption that the primary goal of your dissertation was to set out a conceptual framework (or build a theoretical model). It is also based on the assumption that whilst such a conceptual framework (or theoretical model) was presented, your dissertation did not attempt to examine (or test) it in the field . The focus of your dissertations was most likely a review of the literature rather than something that involved you conducting primary research.

Whilst it is quite rare for dissertations at the undergraduate and master's level to be primarily theoretical in nature like this, it is not unknown. If this was the case, you should think about how the conceptual framework (or theoretical model) that you have presented could be best examined (or tested) in the field . In understanding the how , you should think about two factors in particular:

What is the context, location and/or culture that would best lend itself to my conceptual framework (or theoretical model) if it were to be examined (or tested) in the field?

What research strategy is most appropriate to examine my conceptual framework (or test my theoretical model)?

If the future research suggestion that you want to make is based on examining your conceptual framework (or testing your theoretical model) in the field , you need to suggest the best scenario for doing so.

More often than not, you will not only have set out a conceptual framework (or theoretical model), as described in the previous section, but you will also have examined (or tested) it in the field . When you do this, focus is typically placed on a specific context, location and/or culture.

If this is the case, the obvious future research suggestion that you could propose would be to examine your conceptual framework (or test the theoretical model) in a new context, location and/or culture. For example, perhaps you focused on consumers (rather than businesses), or Canada (rather than the United Kingdom), or a more individualistic culture like the United States (rather than a more collectivist culture like China).

When you propose a new context, location and/or culture as your future research suggestion, make sure you justify the choice that you make. For example, there may be little value in future studies looking at different cultures if culture is not an important component underlying your conceptual framework (or theoretical model). If you are not sure whether a new context, location or culture is more appropriate, or what new context, location or culture you should select, a review the literature will often help clarify where you focus should be.

Expanding a conceptual framework (or theoretical model)

Assuming that you have set out a conceptual framework (or theoretical model) and examined (or tested) it in the field , another series of future research suggestions comes out of expanding that conceptual framework (or theoretical model).

We talk about a series of future research suggestions because there are so many ways that you can expand on your conceptual framework (or theoretical model). For example, you can do this by:

Examining constructs (or variables) that were included in your conceptual framework (or theoretical model) but were not focused.

Looking at a particular relationship aspect of your conceptual framework (or theoretical model) further.

Adding new constructs (or variables) to the conceptual framework (or theoretical model) you set out (if justified by the literature).

It would be possible to include one or a number of these as future research suggestions. Again, make sure that any suggestions you make have are justified , either by your findings or the literature.

With the dissertation process at the undergraduate and master's level lasting between 3 and 9 months, a lot a can happen in between. For example, a specific event (e.g., 9/11, the economic crisis) or some new theory or evidence that undermines (or questions) the literature (theory) and assumptions underpinning your conceptual framework (or theoretical model). Clearly, there is little you can do about this. However, if this happens, reflecting on it and re-evaluating your conceptual framework (or theoretical model), as well as your findings, is an obvious source of future research suggestions.

The A-Z of the PhD Trajectory pp 229–255 Cite as

Compiling Your Work into a Dissertation

Eva O. L. Lantsoght 2 , 3
First Online: 26 May 2018

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Part of the book series: Springer Texts in Education ((SPTE))

In this chapter, we discuss writing the dissertation. The first topic deals with planning the writing of a dissertation. We discuss how to estimate the amount of time that you need for your writing, and how you can spread out the writing so that you can move forward slowly but surely, without needing to pull all-nighters or other forms of writing sprints. A second topic deals with structuring a dissertation: you have all your material ready, or you are at a point where you have a good grasp of your work and what remains to be done – how do you now bring everything together into a coherent dissertation? A third topic deals with self-care during the writing of a dissertation. Writing a document of 100,000 words takes time, and often PhD students burn out before finishing their writing. To avoid this pitfall, we stress the importance of a good planning that allows sufficient time for writing, and the importance of routines and other activities that keep your mind balanced. A fourth topic deals with the practicalities of writing the introduction and conclusions chapters of your dissertation. We also touch upon the topic of future work, and how to identify additional elements for future research. The fifth topic deals with the defense committee. We talk about how to compile a balanced committee, for those who have a voice in the selection of their committee members. Then, we look at how to implement the comments of the committee members. The final part of this chapter talks about the thesis defense. To prepare for a defense we outline some standard questions.

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Provided that you find working with goal word counts motivating.

You can simply list the topics you want to discuss and organize later if outlines don’t work for you.

If your promotor likes seeing a table of contents as a starting point.

It’s a journey of finding your identity as a scholar.

This section is written from the perspective that implementing the comments of the committee comes before the defense. You can implement this advice as well if you need to submit a revised version after your defense.

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Lantsoght, E.O.L. (2018). Compiling Your Work into a Dissertation. In: The A-Z of the PhD Trajectory. Springer Texts in Education. Springer, Cham. https://doi.org/10.1007/978-3-319-77425-1_12

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What’s Included: Conclusion Template

This template covers all the core components required in the conclusion chapter of a typical dissertation, thesis or research project:

The opening/overview section
Summary of key findings
Limitations
Recommendations for future research
Contribution
Concluding summary

The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.

The cleanly formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .

Dissertation & Thesis Conclusion FAQ

What format is the template (doc, pdf, ppt, etc.).

The conclusion chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require a lengthier, more comprehensive conclusion, but the structure will typically remain the same. Again, be sure to check your university’s requirements and norms in terms of document structure.

What types of dissertations/theses can this be used for?

The conclusion chapter template follows the standard format for academic research projects, which means it will be suitable for the majority of dissertations, theses and research projects (especially those within the sciences).

Keep in mind that the exact requirements for the conclusion chapter/section will vary between universities and degree programs. For example, your university may require that the discussion chapter and conclusion chapter are merged into one (this is common for shorter projects). So, be sure to double-check your university’s requirements before you finalize your structure.

How long should the conclusion chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate.

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, please reference this page as your source.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

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How to Write a Thesis or Dissertation Conclusion

Published on September 6, 2022 by Tegan George and Shona McCombes. Revised on November 20, 2023.

The conclusion is the very last part of your thesis or dissertation . It should be concise and engaging, leaving your reader with a clear understanding of your main findings, as well as the answer to your research question .

In it, you should:

Clearly state the answer to your main research question
Summarize and reflect on your research process
Make recommendations for future work on your thesis or dissertation topic
Show what new knowledge you have contributed to your field
Wrap up your thesis or dissertation

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Discussion vs. conclusion, how long should your conclusion be, step 1: answer your research question, step 2: summarize and reflect on your research, step 3: make future recommendations, step 4: emphasize your contributions to your field, step 5: wrap up your thesis or dissertation, full conclusion example, conclusion checklist, other interesting articles, frequently asked questions about conclusion sections.

While your conclusion contains similar elements to your discussion section , they are not the same thing.

Your conclusion should be shorter and more general than your discussion. Instead of repeating literature from your literature review , discussing specific research results , or interpreting your data in detail, concentrate on making broad statements that sum up the most important insights of your research.

As a rule of thumb, your conclusion should not introduce new data, interpretations, or arguments.

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Depending on whether you are writing a thesis or dissertation, your length will vary. Generally, a conclusion should make up around 5–7% of your overall word count.

An empirical scientific study will often have a short conclusion, concisely stating the main findings and recommendations for future research. A humanities dissertation topic or systematic review , on the other hand, might require more space to conclude its analysis, tying all the previous sections together in an overall argument.

Your conclusion should begin with the main question that your thesis or dissertation aimed to address. This is your final chance to show that you’ve done what you set out to do, so make sure to formulate a clear, concise answer.

Don’t repeat a list of all the results that you already discussed
Do synthesize them into a final takeaway that the reader will remember.

An empirical thesis or dissertation conclusion may begin like this:

A case study –based thesis or dissertation conclusion may begin like this:

In the second example, the research aim is not directly restated, but rather added implicitly to the statement. To avoid repeating yourself, it is helpful to reformulate your aims and questions into an overall statement of what you did and how you did it.

Your conclusion is an opportunity to remind your reader why you took the approach you did, what you expected to find, and how well the results matched your expectations.

To avoid repetition , consider writing more reflectively here, rather than just writing a summary of each preceding section. Consider mentioning the effectiveness of your methodology , or perhaps any new questions or unexpected insights that arose in the process.

You can also mention any limitations of your research, but only if you haven’t already included these in the discussion. Don’t dwell on them at length, though—focus on the positives of your work.

While x limits the generalizability of the results, this approach provides new insight into y .
This research clearly illustrates x , but it also raises the question of y .

You may already have made a few recommendations for future research in your discussion section, but the conclusion is a good place to elaborate and look ahead, considering the implications of your findings in both theoretical and practical terms.

Based on these conclusions, practitioners should consider …
To better understand the implications of these results, future studies could address …
Further research is needed to determine the causes of/effects of/relationship between …

When making recommendations for further research, be sure not to undermine your own work. Relatedly, while future studies might confirm, build on, or enrich your conclusions, they shouldn’t be required for your argument to feel complete. Your work should stand alone on its own merits.

Just as you should avoid too much self-criticism, you should also avoid exaggerating the applicability of your research. If you’re making recommendations for policy, business, or other practical implementations, it’s generally best to frame them as “shoulds” rather than “musts.” All in all, the purpose of academic research is to inform, explain, and explore—not to demand.

Make sure your reader is left with a strong impression of what your research has contributed to the state of your field.

Some strategies to achieve this include:

Returning to your problem statement to explain how your research helps solve the problem
Referring back to the literature review and showing how you have addressed a gap in knowledge
Discussing how your findings confirm or challenge an existing theory or assumption

Again, avoid simply repeating what you’ve already covered in the discussion in your conclusion. Instead, pick out the most important points and sum them up succinctly, situating your project in a broader context.

The end is near! Once you’ve finished writing your conclusion, it’s time to wrap up your thesis or dissertation with a few final steps:

It’s a good idea to write your abstract next, while the research is still fresh in your mind.
Next, make sure your reference list is complete and correctly formatted. To speed up the process, you can use our free APA citation generator .
Once you’ve added any appendices , you can create a table of contents and title page .
Finally, read through the whole document again to make sure your thesis is clearly written and free from language errors. You can proofread it yourself , ask a friend, or consider Scribbr’s proofreading and editing service .

Here is an example of how you can write your conclusion section. Notice how it includes everything mentioned above:

V. Conclusion

The current research aimed to identify acoustic speech characteristics which mark the beginning of an exacerbation in COPD patients.

The central questions for this research were as follows: 1. Which acoustic measures extracted from read speech differ between COPD speakers in stable condition and healthy speakers? 2. In what ways does the speech of COPD patients during an exacerbation differ from speech of COPD patients during stable periods?

All recordings were aligned using a script. Subsequently, they were manually annotated to indicate respiratory actions such as inhaling and exhaling. The recordings of 9 stable COPD patients reading aloud were then compared with the recordings of 5 healthy control subjects reading aloud. The results showed a significant effect of condition on the number of in- and exhalations per syllable, the number of non-linguistic in- and exhalations per syllable, and the ratio of voiced and silence intervals. The number of in- and exhalations per syllable and the number of non-linguistic in- and exhalations per syllable were higher for COPD patients than for healthy controls, which confirmed both hypotheses.

However, the higher ratio of voiced and silence intervals for COPD patients compared to healthy controls was not in line with the hypotheses. This unpredicted result might have been caused by the different reading materials or recording procedures for both groups, or by a difference in reading skills. Moreover, there was a trend regarding the effect of condition on the number of syllables per breath group. The number of syllables per breath group was higher for healthy controls than for COPD patients, which was in line with the hypothesis. There was no effect of condition on pitch, intensity, center of gravity, pitch variability, speaking rate, or articulation rate.

This research has shown that the speech of COPD patients in exacerbation differs from the speech of COPD patients in stable condition. This might have potential for the detection of exacerbations. However, sustained vowels rarely occur in spontaneous speech. Therefore, the last two outcome measures might have greater potential for the detection of beginning exacerbations, but further research on the different outcome measures and their potential for the detection of exacerbations is needed due to the limitations of the current study.

Checklist: Conclusion

I have clearly and concisely answered the main research question .

I have summarized my overall argument or key takeaways.

I have mentioned any important limitations of the research.

I have given relevant recommendations .

I have clearly explained what my research has contributed to my field.

I have not introduced any new data or arguments.

You've written a great conclusion! Use the other checklists to further improve your dissertation.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

For a stronger dissertation conclusion , avoid including:

Important evidence or analysis that wasn’t mentioned in the discussion section and results section
Generic concluding phrases (e.g. “In conclusion …”)
Weak statements that undermine your argument (e.g., “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

The conclusion of your thesis or dissertation should include the following:

A restatement of your research question
A summary of your key arguments and/or results
A short discussion of the implications of your research

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If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

George, T. & McCombes, S. (2023, November 20). How to Write a Thesis or Dissertation Conclusion. Scribbr. Retrieved March 20, 2024, from https://www.scribbr.com/dissertation/write-conclusion/

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Home » Future Research – Thesis Guide

Future Research – Thesis Guide

Table of Contents

Future Research

Definition:

Future research refers to investigations and studies that are yet to be conducted, and are aimed at expanding our understanding of a particular subject or area of interest. Future research is typically based on the current state of knowledge and seeks to address unanswered questions, gaps in knowledge, and new areas of inquiry.

How to Write Future Research in Thesis

Here are some steps to help you write effectively about future research in your thesis :

Identify a research gap: Before you start writing about future research, identify the areas that need further investigation. Look for research gaps and inconsistencies in the literature , and note them down.
Specify research questions : Once you have identified a research gap, create a list of research questions that you would like to explore in future research. These research questions should be specific, measurable, and relevant to your thesis.
Discuss limitations: Be sure to discuss any limitations of your research that may require further exploration. This will help to highlight the need for future research and provide a basis for further investigation.
Suggest methodologies: Provide suggestions for methodologies that could be used to explore the research questions you have identified. Discuss the pros and cons of each methodology and how they would be suitable for your research.
Explain significance: Explain the significance of the research you have proposed, and how it will contribute to the field. This will help to justify the need for future research and provide a basis for further investigation.
Provide a timeline : Provide a timeline for the proposed research , indicating when each stage of the research would be conducted. This will help to give a sense of the practicalities involved in conducting the research.
Conclusion : Summarize the key points you have made about future research and emphasize the importance of exploring the research questions you have identified.

Examples of Future Research in Thesis

SomeExamples of Future Research in Thesis are as follows:

Future Research:

Although this study provides valuable insights into the effects of social media on self-esteem, there are several avenues for future research that could build upon our findings. Firstly, our sample consisted solely of college students, so it would be beneficial to extend this research to other age groups and demographics. Additionally, our study focused only on the impact of social media use on self-esteem, but there are likely other factors that influence how social media affects individuals, such as personality traits and social support. Future research could examine these factors in greater depth. Lastly, while our study looked at the short-term effects of social media use on self-esteem, it would be interesting to explore the long-term effects over time. This could involve conducting longitudinal studies that follow individuals over a period of several years to assess changes in self-esteem and social media use.

While this study provides important insights into the relationship between sleep patterns and academic performance among college students, there are several avenues for future research that could further advance our understanding of this topic.

This study relied on self-reported sleep patterns, which may be subject to reporting biases. Future research could benefit from using objective measures of sleep, such as actigraphy or polysomnography, to more accurately assess sleep duration and quality.
This study focused on academic performance as the outcome variable, but there may be other important outcomes to consider, such as mental health or well-being. Future research could explore the relationship between sleep patterns and these other outcomes.
This study only included college students, and it is unclear if these findings generalize to other populations, such as high school students or working adults. Future research could investigate whether the relationship between sleep patterns and academic performance varies across different populations.
Fourth, this study did not explore the potential mechanisms underlying the relationship between sleep patterns and academic performance. Future research could investigate the role of factors such as cognitive functioning, motivation, and stress in this relationship.

Overall, there is a need for continued research on the relationship between sleep patterns and academic performance, as this has important implications for the health and well-being of students.

Further research could investigate the long-term effects of mindfulness-based interventions on mental health outcomes among individuals with chronic pain. A longitudinal study could be conducted to examine the sustainability of mindfulness practices in reducing pain-related distress and improving psychological well-being over time. The study could also explore the potential mediating and moderating factors that influence the relationship between mindfulness and mental health outcomes, such as emotional regulation, pain catastrophizing, and social support.

Purpose of Future Research in Thesis

Here are some general purposes of future research that you might consider including in your thesis:

To address limitations: Your research may have limitations or unanswered questions that could be addressed by future studies. Identify these limitations and suggest potential areas for further research.
To extend the research : You may have found interesting results in your research, but future studies could help to extend or replicate your findings. Identify these areas where future research could help to build on your work.
To explore related topics : Your research may have uncovered related topics that were outside the scope of your study. Suggest areas where future research could explore these related topics in more depth.
To compare different approaches : Your research may have used a particular methodology or approach, but there may be other approaches that could be compared to your approach. Identify these other approaches and suggest areas where future research could compare and contrast them.
To test hypotheses : Your research may have generated hypotheses that could be tested in future studies. Identify these hypotheses and suggest areas where future research could test them.
To address practical implications : Your research may have practical implications that could be explored in future studies. Identify these practical implications and suggest areas where future research could investigate how to apply them in practice.

Applications of Future Research

Some examples of applications of future research that you could include in your thesis are:

Development of new technologies or methods: If your research involves the development of new technologies or methods, you could discuss potential applications of these innovations in future research or practical settings. For example, if you have developed a new drug delivery system, you could speculate about how it might be used in the treatment of other diseases or conditions.
Extension of your research: If your research only scratches the surface of a particular topic, you could suggest potential avenues for future research that could build upon your findings. For example, if you have studied the effects of a particular drug on a specific population, you could suggest future research that explores the drug’s effects on different populations or in combination with other treatments.
Investigation of related topics: If your research is part of a larger field or area of inquiry, you could suggest potential research topics that are related to your work. For example, if you have studied the effects of climate change on a particular species, you could suggest future research that explores the impacts of climate change on other species or ecosystems.
Testing of hypotheses: If your research has generated hypotheses or theories, you could suggest potential experiments or studies that could test these hypotheses in future research. For example, if you have proposed a new theory about the mechanisms of a particular disease, you could suggest experiments that could test this theory in other populations or in different disease contexts.

Advantage of Future Research

Including future research in a thesis has several advantages:

Demonstrates critical thinking: Including future research shows that the author has thought deeply about the topic and recognizes its limitations. It also demonstrates that the author is interested in advancing the field and is not satisfied with only providing a narrow analysis of the issue at hand.
Provides a roadmap for future research : Including future research can help guide researchers in the field by suggesting areas that require further investigation. This can help to prevent researchers from repeating the same work and can lead to more efficient use of resources.
Shows engagement with the field : By including future research, the author demonstrates their engagement with the field and their understanding of ongoing debates and discussions. This can be especially important for students who are just entering the field and want to show their commitment to ongoing research.
I ncreases the impact of the thesis : Including future research can help to increase the impact of the thesis by highlighting its potential implications for future research and practical applications. This can help to generate interest in the work and attract attention from researchers and practitioners in the field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write a Discussion Section | Tips & Examples

How to Write a Discussion Section | Tips & Examples

Published on 21 August 2022 by Shona McCombes . Revised on 25 October 2022.

The discussion section is where you delve into the meaning, importance, and relevance of your results .

It should focus on explaining and evaluating what you found, showing how it relates to your literature review , and making an argument in support of your overall conclusion . It should not be a second results section .

There are different ways to write this section, but you can focus your writing around these key elements:

Summary: A brief recap of your key results
Interpretations: What do your results mean?
Implications: Why do your results matter?
Limitations: What can’t your results tell us?
Recommendations: Avenues for further studies or analyses

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What not to include in your discussion section, step 1: summarise your key findings, step 2: give your interpretations, step 3: discuss the implications, step 4: acknowledge the limitations, step 5: share your recommendations, discussion section example.

There are a few common mistakes to avoid when writing the discussion section of your paper.

Don’t introduce new results: You should only discuss the data that you have already reported in your results section .
Don’t make inflated claims: Avoid overinterpretation and speculation that isn’t directly supported by your data.
Don’t undermine your research: The discussion of limitations should aim to strengthen your credibility, not emphasise weaknesses or failures.

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Start this section by reiterating your research problem and concisely summarising your major findings. Don’t just repeat all the data you have already reported – aim for a clear statement of the overall result that directly answers your main research question . This should be no more than one paragraph.

Many students struggle with the differences between a discussion section and a results section . The crux of the matter is that your results sections should present your results, and your discussion section should subjectively evaluate them. Try not to blend elements of these two sections, in order to keep your paper sharp.

The results indicate that …
The study demonstrates a correlation between …
This analysis supports the theory that …
The data suggest that …

The meaning of your results may seem obvious to you, but it’s important to spell out their significance for your reader, showing exactly how they answer your research question.

The form of your interpretations will depend on the type of research, but some typical approaches to interpreting the data include:

Identifying correlations , patterns, and relationships among the data
Discussing whether the results met your expectations or supported your hypotheses
Contextualising your findings within previous research and theory
Explaining unexpected results and evaluating their significance
Considering possible alternative explanations and making an argument for your position

You can organise your discussion around key themes, hypotheses, or research questions, following the same structure as your results section. Alternatively, you can also begin by highlighting the most significant or unexpected results.

In line with the hypothesis …
Contrary to the hypothesised association …
The results contradict the claims of Smith (2007) that …
The results might suggest that x . However, based on the findings of similar studies, a more plausible explanation is x .

As well as giving your own interpretations, make sure to relate your results back to the scholarly work that you surveyed in the literature review . The discussion should show how your findings fit with existing knowledge, what new insights they contribute, and what consequences they have for theory or practice.

Ask yourself these questions:

Do your results support or challenge existing theories? If they support existing theories, what new information do they contribute? If they challenge existing theories, why do you think that is?
Are there any practical implications?

Your overall aim is to show the reader exactly what your research has contributed, and why they should care.

These results build on existing evidence of …
The results do not fit with the theory that …
The experiment provides a new insight into the relationship between …
These results should be taken into account when considering how to …
The data contribute a clearer understanding of …
While previous research has focused on x , these results demonstrate that y .

Even the best research has its limitations. Acknowledging these is important to demonstrate your credibility. Limitations aren’t about listing your errors, but about providing an accurate picture of what can and cannot be concluded from your study.

Limitations might be due to your overall research design, specific methodological choices , or unanticipated obstacles that emerged during your research process.

Here are a few common possibilities:

If your sample size was small or limited to a specific group of people, explain how generalisability is limited.
If you encountered problems when gathering or analysing data, explain how these influenced the results.
If there are potential confounding variables that you were unable to control, acknowledge the effect these may have had.

After noting the limitations, you can reiterate why the results are nonetheless valid for the purpose of answering your research question.

The generalisability of the results is limited by …
The reliability of these data is impacted by …
Due to the lack of data on x , the results cannot confirm …
The methodological choices were constrained by …
It is beyond the scope of this study to …

Based on the discussion of your results, you can make recommendations for practical implementation or further research. Sometimes, the recommendations are saved for the conclusion .

Suggestions for further research can lead directly from the limitations. Don’t just state that more studies should be done – give concrete ideas for how future work can build on areas that your own research was unable to address.

Further research is needed to establish …
Future studies should take into account …
Avenues for future research include …

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McCombes, S. (2022, October 25). How to Write a Discussion Section | Tips & Examples. Scribbr. Retrieved 20 March 2024, from https://www.scribbr.co.uk/thesis-dissertation/discussion/

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Nicholas Vincent Wins ACM SIGCHI OUTSTANDING DISSERTATION AWARD

By Deborah Acheampong

Computing Science professor, Nicholas Vincent earned a 2024 ACM SIGCHI Outstanding Dissertation Award for his excellent research in human-computer interaction (HCI).

Based on evaluations of technical depth, the significance of their research contributions, potential impact on the field, and the quality of presentation, the award is given annually to a maximum of five recent doctoral recipients worldwide.

"I was extremely honored and humbled to learn that my work received this recognition. The award was a wonderful reminder that the research in my dissertation was deeply collaborative, drawing on efforts from so many mentors and collaborators. I particularly enjoyed revisiting the Acknowledgments section of my dissertation, which includes some comments about how research relying on collaborative efforts resonates with the idea that impact on a machine learning model can only be achieved by a group acting together (a key theme across the dissertation chapters)."

Vincent’s research focuses on studying the relationship between human-generated data and modern computing technologies, including systems often referred to as “AI.” The overarching goal of this research agenda is to work towards an ecosystem of widely beneficial, highly capable AI technologies that mitigate inequalities in wealth and power rather than exacerbate them. His work touches on concepts such as “data dignity,” “data as labor,” “data leverage,” and “data dividends.

We spoke with Professor Vincent about his research and what the future towards equitable AI looks like.

Tell us about your research agenda and its relationship between human-generated data and AI technologies.

My research agenda involves projects focused on several avenues for supporting a healthy “ecosystem for AI data.” One approach involves conducting studies that seek to measure the value of specific datasets and data sources to inform people about the existing value they provide and potential leverage they might bargain with. For instance, this involves work aiming to estimate how much a platform like Wikipedia contributes to the success of a search engine or large language model. Another approach involves building tools that empower individuals and communities to have more agency over their data. Examples on this front include projects that simulate collective action, (what if a large group of people withheld their data from a company or redirected their data to a new tech company?) and work in progress on social platforms for data sharing. Finally, a third approach involves understanding different policy regimes; what might happen if new laws changed how data is collected or retained, especially if those laws enforce stronger notions of data consent?

Underpinning all these solutions-focused avenues, I also work on projects that aim to define new frameworks for thinking about data, for instance defining the “dimensions of data labor.”

How do concepts like "data dignity," "data as labor," "data leverage," and "data dividends" shape your work?

Data dignity, to quote from the RadicalxChange Foundation’s web page on the topic, can be captured by the following argument: ‘Technology companies wield highly concentrated power over the way peoples’ data is used and make enormous profits from it. They can do this because we “bargain” for Big Tech services as if we were all isolated individuals, with “personal” datasets. In fact, the data we produce is always deeply social. Sharing it affects our friends, families, and communities as much as it affects us. People should be able to exert democratic collective bargaining power over their data, make joint decisions controlling its use, and negotiate appropriate compensation.’ My projects are related to supporting a data dignity paradigm.

The data as labor concept suggests we should think of all kinds of data-creating activities – using social media, writing blogs, uploading photos, etc. – as a form of labor for tech companies. It can be thought of as a precursor to data dignity.

Data leverage is the bargaining power available to any data creators that derives from their potential ability to withhold or redirect data in the future and, even delete past data.

Data dividends are one approach for redistributing the economic winnings of AI systems to data creators. We could imagine people using data leverage to bargain for some direct or indirect payments, to avoid a future in which a small group of people collect all the profits of AI (even though those AI systems rely on our vast collective efforts).

What inspired your research area? Can you share examples of how your research contributes to fostering equitable AI technologies?

When I began my research career, I was extremely excited about the benefits that new AI progress could bring but concerned about the potential for concentration of wealth and power, and the resulting negative societal effects that could cause (e.g., destabilization of many institutions).

I believe that helping data creators (i.e., all members of the public!) to bargain with technology companies, it is possible to directly involve the public in governing AI. I view this as a complementary means of participation, alongside other approaches like traditional political participation, internal employee activism, and other kinds of collective action.

How do you envision academia, industry, and policymakers collaborating to promote equitable AI technologies?

I believe that supporting a healthy data ecosystem is strongly in the interests of all these parties. A major concern with the advent of generative AI is that new technologies may undermine the online platforms where valuable data creation occurs. The effect that something like ChatGPT will have on online question and answer platforms parallels early concerns that Google search might hurt Wikipedia. But I believe that informing people about their collective data value and empowering them to exert agency over their data is in everyone's interests here. A comparison might be made to how labor organizing and labor rights in many ways helped many industries become more sustainable in the long-term. Excessive power concentration hurts everyone except the very few power holders overall, and much of my work is about applying this idea to the AI context.

What projects are you pursuing to advance this research agenda?

One ongoing project involves building new platforms for users to opt in to sharing data that can help improve future large language models. Another project involves building new interfaces that tell people about the potential power afforded by their data contributions (if they can act collectively). This work can also be helpful for other situations in which people want to organize collective action online. I am also working on several projects that seek to understand who is likely to experience economic harm first from LLMs, and how the tech industry might think about economic well-being more broadly.

What does the ACM SIGCHI recognition mean for your research?

"The award highlights a major shift in public attention towards new tensions between data creators and new AI systems. I appreciate the award committee noting that these topics are likely going to rise to the forefront of AI and society discussions – which means there’s a lot more work to do!"

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COMMENTS

How to Write: Future Work/Conclusions
Spend another paragraph explaining the highlights of your results. These are the main results you want the reader to remember after they put down the paper, so ignore any small details. Conclude. Finally, finish off with a sentence or two that wraps up your paper. I find this can often be the hardest part to write.
How to properly describe future works in Master's Thesis?
Since this is the standard state of affairs, there is a standard place for describing future work in your thesis. This place is at the end of the Conclusions chapter. If you are writing that chapter well, you can both address future work that remains to be done, and give the impression that the work in your thesis has been worthwhile.
Writing Conclusion and Future Work section of Dissertation
The conclusion and future work section of a PhD or Post Graduate dissertation serves as the pivotal culmination of extensive research, critical analysis, and scholarly exploration. It is the chapter where the researcher brings their study to a satisfying closure, summarizing the main findings, discussing their implications, and paving the way ...
Types of future research suggestion
This is because your future research suggestions generally arise out of the research limitations you have identified in your own dissertation. In this article, we discuss six types of future research suggestion. These include: (1) building on a particular finding in your research; (2) addressing a flaw in your research; examining (or testing) a ...
How to Write a Dissertation Conclusion
Step 3: Make future recommendations. You may already have made a few recommendations for future research in your discussion section, but the conclusion is a good place to elaborate and look ahead, considering the implications of your findings in both theoretical and practical terms.. Example: Recommendation sentence. Based on these conclusions, practitioners should consider …
What Is a Dissertation?
In some disciplines, the conclusion is just a short section preceding the discussion section, but in other contexts, it is the final chapter of your work. Here, you wrap up your dissertation with a final reflection on what you found, with recommendations for future research and concluding remarks.
PDF Chapter 7 Conclusions and Future Work
The main thesis validated by this dissertation is that a deeper understanding of the computational nature of reflection and illumination is important and leads to new practical algorithms. Secondly, since the properties of the reflection operator impact a number of different areas, the same fundamental insights lead to novel algorithms for a ...
Compiling Your Work into a Dissertation
Revise your research question and scope to make sure these sections are still reflected in the final version of your dissertation. You can find a flowchart of this recommended procedure in Fig. 12.3. Fig. 12.3. Writing your introduction chapter at the beginning and revising it at the end of writing your dissertation.
Full article: Bob's Project Guidelines: Writing a Dissertation for a
Section 9 completes the exposition with conclusions and future work. The format of the dissertation can be very similar to this document: 11 or 12 point Times (or similar) font, single column. Excessive white space is to be avoided.
Dissertation Structure & Layout 101 (+ Examples)
Time to recap…. And there you have it - the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows: Title page. Acknowledgments page. Abstract (or executive summary) Table of contents, list of figures and tables.
Dissertation/Thesis Conclusion Template (Word Doc
This template covers all the core components required in the conclusion chapter of a typical dissertation, thesis or research project: The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what ...
How to Write a Dissertation
Discuss the state of existing research on the topic, showing your work's relevance to a broader problem or debate. Clearly state your objectives and research questions, and indicate how you will answer them. Give an overview of your dissertation's structure. Everything in the introduction should be clear, engaging, and relevant to your ...
How to Write Recommendations in Research
Recommendations for future research should be: Concrete and specific. Supported with a clear rationale. Directly connected to your research. Overall, strive to highlight ways other researchers can reproduce or replicate your results to draw further conclusions, and suggest different directions that future research can take, if applicable.
(PDF) Conclusion and Future Work
Abstract. This chapter concludes the thesis by summarizing our research in Section 7.1, presenting an overview of our research contributions in Section 7.2, and discussing ideas for future ...
How to Write a Thesis or Dissertation Conclusion
Step 2: Summarize and reflect on your research. Step 3: Make future recommendations. Step 4: Emphasize your contributions to your field. Step 5: Wrap up your thesis or dissertation. Full conclusion example. Conclusion checklist. Other interesting articles. Frequently asked questions about conclusion sections.
Thesis' "Future Work" section
So, in the Future Work section of my thesis, I wrote about the project that we're working on in course X. Except I didn't mention that I'm working on the project. Rather, I mentioned that this project is an example of something that can be worked on (since it has similarities with the concepts implemented in the thesis).
publications
The final chapter may be full of future work, which, in many cases, is never carried out. Share. Improve this answer. Follow ... Instead of having a 'Future work' section, you could, under the 'Conclusion' section, discuss briefly in what ways you believe the current work can be improved. You do not have to state that you have no plan to work ...
PDF Conclusions and future work
Conclusions and future work 'Our imagination is the only limit to what we can hope to have in the future.' Charles F. Kettering 8.1 Conclusions In this thesis, we addressed the problem of recognition of structures in images using graph representations and inexact graph matching. One of the main contributions of our work is to
Future Research
Definition: Future research refers to investigations and studies that are yet to be conducted, and are aimed at expanding our understanding of a particular subject or area of interest. Future research is typically based on the current state of knowledge and seeks to address unanswered questions, gaps in knowledge, and new areas of inquiry.
(PDF) Conclusion and FutureWork
Abstract and Figures. This chapter summarizes and concludes the contribution of this thesis in Section 6.1 and Section 6.2, respectively. Section 6.3 provides an overview of future work projects.
How to Write a Discussion Section
Table of contents. What not to include in your discussion section. Step 1: Summarise your key findings. Step 2: Give your interpretations. Step 3: Discuss the implications. Step 4: Acknowledge the limitations. Step 5: Share your recommendations. Discussion section example.
Dissertation Future Work Section
Dissertation Future Work Section - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
Nicholas Vincent Wins ACM SIGCHI OUTSTANDING DISSERTATION AWARD
Computing Science professor, Nicholas Vincent earned a 2024 ACM SIGCHI Outstanding Dissertation Award for his excellent research in human-computer interaction (HCI). Based on evaluations of technical depth, the significance of their research contributions, potential impact on the field, and the quality of presentation, the award is given annually to a maximum of five recent doctoral recipients ...

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How to Write the Conclusion and Future Work section of Your Dissertation or Thesis?

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