We are pleased to announce our inaugural cohort for the Computational Social Science Graduate Fellowship Program (AY26/27)!
The Computational Social Science Graduate Fellowship Program aims to foster interdisciplinary collaboration and networks centered around computational social science by funding teams made up of a PhD student and two faculty members, where each faculty member is from a different department. Over the course of the year, each team will discuss and set up a research project in the fall, do a research sprint to tackle deep work over the winter, then use the spring to pull together the work, present it, and prepare for next steps.
Our inaugural cohort consists of three teams from across the university, spanning four colleges and seven departments between the graduate fellows and mentors.
Larrisa (Larri) Miller is a PhD candidate in the Department of Communication, while also pursing graduate certificates in Statistical & Computational Data Science and Feminist Studies. Her research sits at the intersection of computational social science, feminist studies, and media studies, with dissertation work focused on conspiracy theorizing in digital spaces. During her fellowship, she will be working with Wayne Xu (Associate Professor, Communication) and Justin Gross (Associate Professor, Data Analytics and Computational Social Science and Public Policy).
Stephen Onyeukwu is a PhD student in Industrial Engineering. His research lies at the intersection of human factors and transportation safety, with a particular focus on how vehicle technologies and advanced automation shape the safety of road users. He studies driver behavior to understand how people engage with these technologies on the road. Ultimately, the driving force behind his research is to reduce road crashes and improve mobility outcomes for all road users. During his fellowship, she will be working with Anuj Pradhan (Assistant Professor, Mechanical and Industrial Engineering) and Youngbin Kwak (Associate Professor, Psychological and Brain Sciences).
Chenxi Yuan is a third-year PhD student in the Department of Sociology. Her research focuses on the power dynamics in the workplace, particularly how power operates through discourse and institutions in organizations. To do so, she leverages Large Language Models to measure culture and symbolic value. During her fellowship, she will be working with Wenting Ma (Assistant Professor, Finance) and Brendan O’Connor (Associate Professor, College of Information and Computer Sciences), as well as Don Tomaskovic-Devey (Professor, Sociology).
The application window for AY26/27 is now closed. An announcement for applications to be a part of the next cohort will be made in spring 2027 via our listserv.
