Jonathan Mummolo Tapped to Lead Center for Data-Driven Social Science - Princeton School of Public and International Affairs
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As artificial intelligence continues to provide unparalleled and unprecedented access to information and analytic tools, Jonathan Mummolo believes the work of Princeton University’s Data-Driven Social Science (DDSS) initiative is more important than ever. “As with any transformative research technology, AI presents great opportunities, but also great risks,” Mummolo said. “DDSS is focused on providing resources to Princeton researchers to help harness these tools in social science research while maintaining care and rigor.”Mummolo, an associate professor of politics and public affairs whose research studies bureaucratic politics and political behavior, was named the interim director of DDSS in August. Under his leadership, Mummolo is positioning DDSS and its team of research software engineers to help Princeton’s social science community harness AI to answer important social questions with attention to the unique challenges social science presents, including data privacy, replicability, and computational obstacles associated with massive data sets such as video archives.
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