Advancing Social Science Research: A Workshop Series on AI, LLMs, and Computational Methods

The Center for Social Science Scholarship is pleased to continue our workshop series on generative AI, LLMs, and computational social science methods.

This series began with the basics of computing in R and how to use generative AI/LLMs in social science research workflows. Each session will be focused on getting faculty and students comfortable with deploying AI and generative AI models in their research, but with a deeper understanding of the ethical, equity, and environmental consequences of these models.

This series, which is supported through the Elkins Professorship, features several new speakers this spring. 

REGISTER

February 20 | 12-1:30pm | PUP 438 
Social Network Analysis: Building Web-Based Applications for Experiential Learning
Led by:  Dr. Steve McDonald, Professor of Sociology, NC State University

February 27 | 12- 1:30pm | PUP 438
A City in Motion: How Everyday Routines Channel and Control Crime in Baltimore
Led by: Dr. Brian Soller, Associate Professor of Sociology (SAPH), UMBC 

March 25 | 12-1:30pm | PUP 438
Geospatial Analysis 
Led by: Krishna Mummadi, CS3 Graduate Assistant & GES Graduate Student

April 14 | 2-4pm | Walker Avenue, Suite 130 (Hybrid)
Foundations of Large Language Models
Led by:  Dr. Josephine Namayanja, Executive Director, iHARP, UMBC
Rhoda Nankabirwa, iHARP Research Assistant and PhD Student, UMBC

April 22 | 12-1:30pm | Webex
Equity in Algorithms
Led by:  Dr. Kayla Schwoerer
Assistant Professor of Public Administration, Vrije Universiteit, Amsterdam