Morgan Frankمشاهده پروفایل
استادیار
Morgan Frank is an Assistant Professor at the School of Computing and Information at the University of Pittsburgh , within the Department of Informatics and Networked Systems . His research focuses on the complexity of AI , the future of work , and socio-economic consequences of technological change , particularly examining genotypic skill-level processes impacting individuals and society. He holds a PhD from MIT’s Media Lab , with postdoctoral work at MIT IDSS and IDE, and a Master’s in Applied Mathematics from the University of Vermont , where he contributed to the Computational Story Lab . Frank’s work combines labor research with AI implications , aiming to inform societal understanding of AI’s impact. Key interests include technological unemployment , urban economic resilience , and policy frameworks for green job transitions . His recent publications explore topics like AI exposure and unemployment risk , behavioral networks in urban systems , and geographic barriers to fossil fuel worker retraining . Frank’s academic background bridges computational methods and social science, with a focus on large-scale data analysis and policy-relevant research . His work has been applied to advise institutions like the Canadian House of Commons on AI labor impacts and to develop tools like the Course-Skill Atlas for aligning education with workforce needs.









