Advising

I am currently inviting undergraduate and graduate Marquette students to email me if you want to work in my lab. I have various projects that may work for any of you at varying levels of commitment. The usual process is to take an independent study or research credits during the semester.

If you not a student at Marquette and would like to work with me, then you will need to apply to our PhD in computer science ; we can chat before you apply but you will need to follow the advice below for doctoral students. We have rolling deadlines this year (June 1 for Fall 2019 entry) but I would advise you to get in touch with me and send in your application soon!

Doctoral students: **jan 2019 update** I have NSF grant funding available for one PhD student to join my lab.  I am specifically looking for students interested in algorithmic biases in the criminal justice system.While our semester starts in August, I have funding available to fund part or all of summer 2019 if you want to get an early start to Milwaukee, Marquette and our lab.

Doctoral Student Advising Statement:

I would like to point all prospective and current doctoral students to Dr. Sarita Schoenebeck’s advising statement. I resonate with her opinions strongly and add the following:

I envision PhD students as self-driven, junior collaborators with whom I would love to establish common areas of interest. My work stands in a relatively fast paced academic environment with frequent conference submissions and transparency of data, code and process as part of the academic ethics framework. I would like to foster a culture of positive collaboration, mutual trust, rapid iteration, openness (in collaborating with and drawing from multiple disciplines) and shared credit in terms of co-authorships and (potential) accolades.

I am also very happy to serve as a committee member for students in other departments at Marquette (if relevant to my interests) or in other schools if you need an external committee member.

If you specifically want to work with me, please send me an email outlining your potential interests. In particular, I would love to see how your interests can intersect with my own. I would encourage you to read my papers and outline what types of research directions you’d like to get in. I receive a lot of emails from potential students and I do my best to respond to all of them. However, your chances of response are higher if you can point to specific areas in which you’d like to work as opposed to general areas. For instance, general areas are: HCI, Computational Social Science, Social Computing etc. while more specific questions (that I am looking for) could be “I am interested in exploring how LGBTQ populations in developing countries experience online harassment. This intersects with your current work on understanding how people share public harassment experiences on social media in Bangladesh.

In addition, I would like to see some evidence of prior research-y work (doesn’t have to be in a similar space). You should have some experience in programming in R/Python/Javascript. I am very open to combining data science skills with methods drawn from ethnography, interviews, experiments and surveys! Specifically, if you can point me towards (1) a github repository, (2) your personal website outlining your projects or (3) evidence of completion of any data science MOOC or similar activity then that would be wonderful! If you come recommended to me by someone, please mention this explicitly in your initial email.