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Join our May Lunch & Learn session with Thomas Davidson, an Assistant Professor in the Department of Sociology at Rutgers University.  Professor Davidson will speak on the development of Generative Artificial Intelligence(GAI), for example how ChatGPT has raised significant public debate. He will particularly focus on the applications of the technologies as methods for sociological inquiry and examine potential applications in three different areas including computational, experimental and qualitative research. Our event will delve into the implications of GAL for bias and bias mitigation efforts, shedding light on the potential risks and opportunities that arise in the pursuit of fair and equitable AI systems. Some of Professor Davidson’s current research examines how digital trace data from social media and other websites combined with statistical analysis and computational methods, including natural language processing and machine learning.

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12:00 - 12:05 | Welcome and introductions

12:05 - 12:45 | Lunch&Learn presentation

12:45 - 12:55 | Moderated Q&A session

12:55 - 13:00 | Closing and upcoming sessions

Location

This is an online webinar hosted on Zoom. To receive details to enter the event, please register.ÌýÌý

Featured Speaker

Thomas Davidson

Assistant Professor in the Department of Sociology, Rutgers University

Thomas Davidson is an Assistant Professor in the Department of Sociology at Rutgers University. His research interests include political sociology, social movements, and the sociology of culture. His research uses digital trace data from social media and other websites combined with statistical analysis and computational methods, including natural language processing and machine learning. He is currently working on several projects on populism, far-right politics, and hate speech on social media, as well as methodological work on the uses of generative AI for sociological research.

What are Lunch&Learn's?

The CAnD3 Lunch&Learn series is designed to introduce our Fellows, team members, and partners to emerging research on topics related to population dynamics and population aging. These modules will cover the Four CAnD3 Population Aging Axes: (1) family and social inclusion; (2) education, labour and inequality; (3) migration and ethnicity; and (4) wellbeing and autonomy.

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