Name: Morgan Frank
Title: Assistant Professor
Department: Informatics and Networked Systems
Morgan Frank is an Assistant Professor at the School of Computing and Information at the University of Pittsburgh in the Department of Informatics and Networked Systems. Morgan is interested in the complexity of AI, the future of work, and the socio-economic consequences of technological change. While many studies focus on phenotypic labor trends, Morgan’s recent research examines how genotypic skill-level processes around AI impact individuals and society. Combining labor research with investigations into the nature of AI research and the social or societal implications of AI adoption, Morgan hopes to inform our understanding of AI’s impact. Morgan has a PhD from MIT’s Media Lab, was a postdoc at MIT IDSS and the IDE, and has a Master’s degree in applied mathematics from the University of Vermont where he was a member of the Computational Story Lab.
What are your research interests?
Complex Systems; Computational Social Science; Artificial Intelligence; Science of Science; Future of Work.
Why did you choose to come to SCI?
I chose SCI because SCI is a melting pot for thinkers with a diverse range of backgrounds. For example, social scientists from across Pitt come to SCI to collaborate on data-intensive projects, and, on the other hand, SCI researchers work with researchers across Pitt to tackle important domain questions.
How does your research/teaching align with SCI’s mission?
My research combines principles of complex systems and data science to test the boundaries of labor economics and to better understand the social and societal consequences of technological change.