Editing User:Benjamin Mako Hill/Prospective graduate students

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My "lab" is called the [[Community Data Science Collective]] and it's a research group that is split between the University of Washington Department of Communication a number of other academic institutions. We have [[People|a couple dozen faculty, post-doc, and graduate student members]] and we're always looking to add more. You should consider joining us!

I have advised or co-advised students in the University of Washington's [https://com.uw.edu/ Department of Communication], [https://www.hcde.washington.edu/ Department of Human-Centered Design & Engineering] (HCDE), the [https://www.cs.washington.edu/ Paul G. Allen School of Computer Science & Engineering] (CSE), and in [https://ischool.uw.edu/ the Information School] (iSchool). 

== My involvement with different PhD programs at UW ==

My primary appointment is in the [http://www.uw.edu University of Washington] [http://www.com.washington.edu Department of Communication] and most of my PhD students have been based in this department. The department has an absolutely wonderful PhD program. When I was considering graduate school, I very nearly went here myself! The good news for me is that (because there is an unwritten rule that universities should not hire their own students) I now get to teach here!

I also advise students in several other departments at UW. I am involved in the admissions process in HCDE and CSE most years and have reviewed applicants and interview students in both departments. That said, because I am adjunct faculty in both department and I believe it is important that every student have active mentorship from faculty fully engaged with a department, I will typically only advocate for admission of a student in HCDE or CSE if there is at least one another faculty member in these departments who is interested in coadviseing the student in question.

== What I'm looking for in students ==

The most important thing I'm looking for in students is a deep interest in online communities involved in building public information goods. In the past, that has typically involved sites like Wikipedia, Fandom/Wikia, free/open source software, free culture, OpenStreetMap, Reddit, Q&A sites, or a wide range of other [[:wikipedia:peer production|peer production communities]]. I'm typically less interested in pure social media communities that are "just" about talking and chatting—although I've got room in my heart for them and have done research projects related to them from time-to-time. I am also looking for students with a technical background (e.g., at least a little experience with programming, statistics, and/or mathematics).

I'm particularly interested in students interested in studying [[:wikipedia:peer production|peer production communities]] to understand how and why they work. If you contribute to a wiki, a remixing community, or a free software project, if you use GNU/Linux, if you enjoy programming (even if it's only ever used a means to solving problems you do care about), and if you want to become a social scientist, please consider applying to our department and let me know you've applied.

It's OK if you're not an expert in all this stuff yet or if you don't know a lot of statistics. After all, grad school is school and learning new tools and approaches is hopefully a big part of why you're applying to graduate school in the first place. I had not taken a math class since high school when I started in graduate school. I learned a lot while I was there and I'm still working on it. What's important is that you show me (and the admissions committee) that you're interested and able to learn.

Personally, I'm much less concerned with things like grades and test scores than I am with a proven ability to build things, to ask interesting questions, to write working code, to craft solid prose, and to make the world a better place. Of course, admission is never entirely up to me and things like grades and test scores certainly help your case.

== Applying to UW ==

First of all, you need decide which program(s) at UW you wan to apply to. Each year, I am most involved in—and have most influence in—decisions within the Department of Communication. If you hope to work with me but are applying in another department, you should identify at least one other potential coadvisor in that other department.

Once you've done that, you should check out the following information about applying to the programs at UW:

* [https://com.uw.edu/admissions/ma-phd-admissions/ UW Department of Communication MA/PhD Admissions Homepage]
* [https://www.hcde.washington.edu/bs/admissions UW Human-Centered Design and Engineering PhD Admissions Homepage]
* [https://www.cs.washington.edu/academics/phd/admissions UW Department of Computer Science & Engineering PhD Admissions Homepage]
* [https://ischool.uw.edu/programs/phd/admissions UW iSchool PhD Admissions Homepage]

== Things you should know about my role in the PhD admissions process ==

About half of my advisees are PhD students in the Department of Communication. The Department of Communication is wide and interdisciplinary and accepts a wide variety of students with interests in doing work that spans the humanities and social sciences.

'''I will serve on the UW Department of Communication graduate admissions committee in 2024.''' It's worth remembering that the committee reviews applications and makes decisions collectively based exclusively on what's in the file. That means that the place and time to impress me is in your written application, as it is only the evidence that can be used to justify a decision to move forward.

'''I do not serve on the graduate admissions committee in any other departments.''' This means that I will not be reading applications from the general pools or making the first cut at the list of applications. As part of the admissions process in other departments, I always give feedback on applicants to the admissions committee.<!-- I also typically have grant funding to fund RAs. So, although I don't ever make admissions decisions independently, my opinion matters, and I can influence the process in some important ways. -->

Once the first cut is over, the committee in every department will reach out to potential advisers and committee members. The admission committee always asks me two questions:

# What I do think about the student relative to other applicants?
# Am I a likely (a) advisor/chair or (b) committee member?

The key thing for students to realize when reaching out to potential faculty like me is that my opinion in terms of the first question only matters if the the answer to questions 2(a), and to a lesser extent, 2(b) is affirmative.

At this stage, I am only asked to weigh in on students the admissions committee has decided will likely work with me. This means my opinion is only valued strongly if the applicant's proposed research agenda involves studies of social media and/or online communities or whose methodological toolbox includes quantitative data science or programming.

Because some of my influence at the admissions stage stems from my ability to fund RAs, being able to work as an RA for one of my funded projects greatly improves your chances of being admitted to our program. But again, you will only be at an advantage if you can convince the committee (and me!) that you would be interested and able to do the kinds of work described in the grants my lab has received or will apply for.

== Asking questions ==

If you have questions about the departments or the admissions processes, you should check the material on the admissions websites and FAQs and/or contact the admissions staff who will be more helpful and more responsive than I am.

If you have questions about my research or about working with me, you can email me directly at [mailto:makohill@uw.edu makohill@uw.edu]. If I don't know you, you should introduce yourself by describing your interests, qualifications and the reason you think these are a match for my research interests and methodologies. If you don't know my research interests and methods, you should look through [http://mako.cc/academic/ my academic page]—maybe even read a couple papers—and try to make sure it really is a good match.

Please keep in mind that I am often busy and not always awesome at email. As a result, it might take me some time to respond to prospective students. If it's been more than a week or two, feel free to ping me again.

== Meetings (prospective UW graduate students) ==

Unfortunately, my fall quarter 2024 is completely booked with teaching and service responsibilities and I simply do not have the bandwidth to meet with prospective students 1-on-1 while the quarter is in session. Feel free to ask me questions by email and we can take things from there. I'd also be happy to talk in the new year if it's still useful.

Both the UW Department of Communication and the Community Data Science Collective will have open PhD recruiting events that will provide an opportunity to meet folks. UW Communication has an event on [https://www.eventbrite.com/e/university-of-washington-communication-maphd-and-phd-information-session-tickets-1004714527197?aff=oddtdtcreator a recruiting event on November 6] (which I sadly will not be able to attend) and the CDSC is running [https://blog.communitydata.science/cdsc-phd-application-info-session-and-q-a-october-18/ a Q&A session on October 18] that I plan to be at. Either will be good a place to get your questions answered. The CDSC event is probably your best opportunity to talk with me in person.

<!-- Many university faculty have blanket rules against meeting with prospective doctoral students. Although I typically do not have time, I'm willing to consider these meetings in some situations. Keep in mind that there are hundreds of students seeking to start their PhD at UW Communication every year, so it is simply not possible for the faculty to meet with every interested student. Personally, I'm happy to meet with prospective students whose interests and backgrounds truly match what I'm looking for. 

This means that either of the following things should be true:
	
:* You are interested in graduate school because you want to study [[:wikipedia:peer production|peer production]], knowledge commons, and the production of online public goods like [[:wikipedia:free culture|free culture]] and [[:wikipedia:free software|free software]].
:* You are interested in graduate school because you want to do quantitative data science on online communities and plan to use programming, statistics, and mathematics as the core of your research program.
 
If the above does not apply, ''this doesn't mean I don't want to work with you''. It just means I'm extremely unlikely to be able to impact your application to the department. If one of my colleagues at UW has referred you to talk to me, that's also good enough because it means that they might ask for my opinion when the admissions committee makes final decisions later. -->

== Meetings (admitted UW graduate students) ==

If you have been admitted to UW in Communication, Human-Centered Design & Engineering, Computer Science & Engineering, the Information School, or any other department really, I'd love to talk with you!

If you don't fulfill the criteria I listed above, that means I very likely did not participate in the review of your application. However, it ''does not'' mean I will not work with you at some point in the future, teach classes that you might take, or help you try to develop and frame your research as a graduate student at UW.

And of course, If you've been admitted to other good programs, I would also love to try to convince you to come to UW. I love UW and I love Seattle and I would love to tell you why.