Computational project in cultural analytics/computational social science
David Bamman, Professor
Information, School of
Applications for Spring 2025 are closed for this project.
This URAP position is a placeholder for mentorship of a project of your design.
If you are an advanced student in CS, data science, or another discipline with a strong computational background and have a topic of interest in the space of cultural analytics or computational social science, feel free to write up a one-page project proposal grounded in the relevant research literature. This proposal should detail your project, why it's interesting from a scholarly point of view, and demonstrate awareness of related work; it should showcase your originality and creativity.
(This URAP likely has only one open position, so feel free to apply to others as well if you are interested in them.)
Role: Developing and executing your own research project, including: reading relevant research literature; developing computational models; creating data for training and evaluation. Participation in regular research meetings in required.
Qualifications: Strong computational background and experience with NLP/CV/AI/ML (depending on the research project). Strong organizational skills and ability to carry out projects independently.
Hours: 9-11 hrs
Off-Campus Research Site: Online
Engineering, Design & Technologies Arts & Humanities Digital Humanities and Data Science