– nov: 3 presentations (1 paper, 2 posters) at CSCW 2019 from the lab! I am also co-organizing a workshop on qualitative methods, a panel on data, power and justice and a “CSCW Meta” panel in my role as CSCW Meta Co-chair.
– apr: honored to be a recipient of the 2019 Way Klingler Young Scholar Award.
– feb: excited to receive 2 year, $175,000 a NSF CRII grant to continue my work on algorithmic biases in the criminal justice system in Wisconsin!
Appointments and Background:
- Assistant Professor in the Department of Computer Science (Tenure home) at Marquette University.
- Joint appointment in the Department of Mathematical and Statistical Sciences.
- Director of Data Science graduate programs (Administrative position)
- Participating Faculty in the Cognitive Science program.
- Visiting Researcher at AI Interactions group at IBM Research AI.
- PhD from Cornell University (advised by Steve Wicker) (2016)
- MS from the Indian Statistical Institute (advised by BS Daya Sagar) (2010)
My current research interests cut across human computer interaction, computational social science, ict4d and privacy. I am very interested in how algorithmic decision making processes are designed, implemented and evaluated in public policies. In doing so, I often work with marginalized and vulnerable populations such as with the child welfare system, criminal justice system etc. My research is (and has been) supported by the following organizations:
Currently, I am interested in the following broad (and often intersecting) themes in my research:
- online harassment and content moderation in queer, developing populations: I am interested in how online harassment is defined and experienced and subsequent content moderation policies and practices designed for non-normative, vulnerable and marginalized populations both, in and out of the US.
- developing ethical algorithms for child welfare systems: Child welfare systems are underfunded and overburdened in the US. Increasingly, algorithms are applied to make decisions about child risk, safety, placement and permanence. But, how ethical are they?
- exploring algorithmic biases in criminal mapping: Algorithms are quite pervasive in every facet of the criminal justice system from crime mapping to bail determinations to sentencing. How do biases emerge from the interactions between people and algorithms in the criminal justice system?
I am always looking for motivated students at all levels (BS, MS, PhD) to work with me. If you are interested, please read this and get in touch. This is my cv, github, google scholar and dblp profile. This is the Marquette Computational Social Science Lab website for more information on the lab and lab members.
If you want to get in touch please feel free to email me at shion [dot] guha [at] marquette [dot] edu.