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  • Dissertation

Requirements, deadlines, and other information on preparing and submitting a dissertation.

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PhD candidates must successfully complete and submit a dissertation to qualify for degree conferral. It is perhaps the most important and far-reaching undertaking in the entire doctoral program, having an impact that extends well beyond graduate studies. 

Requirements and Deadlines 

Each graduate program maintains specific requirements for the content and evaluation of the dissertation. Be sure to review your program’s departmental requirements prior to beginning the process. You should also review Harvard Griffin GSAS’s dissertation policies for important information about formatting, submission, and publishing and distribution options, including embargoes.  

Degrees are awarded in November, March, and May. Dissertation submission deadlines are noted in the Degree Calendar section of Policies . 

Help with the Dissertation 

Library research .

It’s never too early to start planning for your dissertation. The Harvard Library can help! The Library maintains a guide for graduate students engaged in scholarly writing titled the Writing Oasis . They also offer access to Overleaf , which is an online LaTeX and Rich Text collaborative writing and publishing tool that makes the process of academic writing, editing, and publishing quicker and easier. Overleaf has a section on Writing Your Dissertation that you may find useful.  

Writing 

Students can find support with planning and preparing to write the dissertation from their academic advisors and programs. The Fellowships & Writing Center also offers workshops on various aspects of dissertation writing, holds brainstorming office hours during which students may discuss their dissertations, and provides written feedback on dissertation chapters.  

Dissertation Completion Fellowships 

Harvard Griffin GSAS provides a dissertation completion fellowship (DCF) for one academic year to eligible PhD students in the humanities and social sciences who anticipate completing their dissertations within the year. Find out more in Policies .

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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

  • Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
  • Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
  • Is the thesis complex enough to require a whole essay's worth of argument?  
  • Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
  • Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
  • picture_as_pdf Thesis

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So how do you track spread of disease by the numbers.

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Ivan Specht decided to employ his love of math during pandemic, which led to contact-tracing app, papers, future path

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Ivan Specht started at Harvard on track to study pure mathematics. But when COVID-19 sent everyone home, he began wishing the math he was doing had more relevance to what was happening in the world.

Specht, a New York City native, expanded his coursework, arming himself with statistical modeling classes, and began to “fiddle around” with simulating ways diseases spread through populations. He got hooked. During the pandemic, he became one of only two undergraduates to serve on Harvard’s testing and tracing committee, eventually developing a prototype contact-tracing app called CrimsonShield.

Specht took his curiosity for understanding disease propagation to the lab of computational geneticist Pardis Sabeti , professor in Organismic and Evolutionary Biology at Harvard and member of the Broad Institute, known for her work sequencing the Ebola virus in 2014 . Specht, now a senior, has since co-authored several studies around new statistical methods for analyzing the spread of infectious diseases, with plans to continue that work in graduate school.

“Ivan is absolutely brilliant and a joy to work with, and his research accomplishments already as an undergraduate are simply astounding,” Sabeti said. “He is operating at the level of a seasoned postdoc.”

His senior thesis, “Reconstructing Viral Epidemics: A Random Tree Approach,” described a statistical model aimed at tackling one of the most intractable problems that plague infectious disease researchers: determining who transmitted a given pathogen to whom during a viral outbreak. Specht was co-advised by computer science Professor Michael Mitzenmacher, who guided the statistical and computational sections of his thesis, particularly in deriving genomic frequencies within a host using probabilistic methods.

Specht said the pandemic made clear that testing technology could provide valuable information about who got sick, and even what genetic variant of a pathogen made them sick. But mapping paths of transmission was much more challenging because that process was completely invisible. Such information, however, could provide crucial new details into how and where transmission occurred and be used to test things such as vaccine efficacy or the effects of closing schools. 

Specht’s work exploited the fact that viruses leave clues about their transmission path in their phylogenetic trees, or lines of evolutionary descent from a common ancestor. “It turns out that genome sequences of viruses provide key insight into that underlying network,” said the joint mathematics and statistics concentrator.

Uncovering this transmission network goes to the heart of how single-stranded RNA pathogens survive: Once they infect their host, they mutate, producing variants that are marked by slightly different genetic barcodes. Specht’s statistical model determines how the virus spreads by tracking the frequencies of different viral variants observed within a host.  

As the centerpiece of his thesis, he reconstructed a dataset of about 45,000 SARS-CoV-2 genomes across Massachusetts, providing insights into how outbreaks unfolded across the state.

Specht will take his passion for epidemiological modeling to graduate school at Stanford University, with an eye toward helping both researchers and communities understand and respond to public health crises.

A graphic designer with experience in scientific data visualization, Specht is focused not only on understanding outbreaks, but also creating clear illustrations of them. For example, his thesis contains a creative visual representation of those 45,000 Massachusetts genomes, with colored dots representing cases, positioned nearby other “dots” they are likely to have infected.

Specht’s interest in graphics began in middle school when, as an enthusiast of trains and mass transit, he started designing imagined subway maps for cities that lack actual subways, like Austin, Texas . At Harvard, he designed an interactive “subway map” depicting a viral outbreak.

As a member of the Sabeti lab, Specht taught an infectious disease modeling course to master’s and Ph.D. students at University of Sierra Leone last summer. His outbreak analysis tool is also now being used in an ongoing study of Lassa fever in that region. And he co-authored two chapters of a textbook on outbreak science in collaboration with the Moore Foundation.

Over the past three years, Specht has been lead author of a paper in Scientific Reports and another in Cell Patterns , and co-author on two others, including a cover story in Cell . His first lead-author paper, “The case for altruism in institutional diagnostic testing,” showed that organizations like Harvard should allocate COVID-19 testing capacity to their surrounding communities, rather than monopolize it for themselves. That work was featured in The New York Times .

During his time at Harvard, Specht lived in Quincy House and was design editor of the Harvard Advocate, the University’s undergraduate literary magazine. In his free time he also composes music, and he still considers himself a mass transit enthusiast.

In the acknowledgements section of his thesis, he credited Sabeti with opening his eyes to the “many fascinating problems at the intersection of math, statistics, and computational biology.”

“I could fill this entire thesis with reasons I am grateful for Professor Sabeti, but I think they can be summarized by the sense of wonder and inspiration I feel every time I set foot in her lab.”

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COMMENTS

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  18. PDF The Thesis Writing Process and Literature Review

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  22. Thesis

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  23. Open access to electronic theses and dissertations (ETDs)

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  29. So how do you track spread of disease? By the numbers

    At Harvard, he designed an interactive "subway map" depicting a viral outbreak. As a member of the Sabeti lab, Specht taught an infectious disease modeling course to master's and Ph.D. students at University of Sierra Leone last summer. His outbreak analysis tool is also now being used in an ongoing study of Lassa fever in that region.