Cade Massey is a Practice Professor in the Wharton School’s Operations, Information and Decisions Department. He received his PhD from the University of Chicago and taught at Duke University and Yale University before moving to Penn. Massey’s research focuses on judgment under uncertainty—how, and how well, people predict what will happen in the future. His work draws on experimental and “real world” data such as employee stock options, 401k savings, the National Football League draft, and graduate school admissions. His research has led to long-time collaborations with Google, Merck, and multiple professional sports franchises. Massey’s research has been published in leading psychology and management journals, and covered by the New York Times, Wall Street Journal, Washington Post, The Economist, and National Public Radio. He has taught MBA and Executive MBA courses for 15 years, receiving teaching awards for courses on negotiation, influence, organizational behavior and human resources. He also co-teaches Wharton's “People Analytics” MOOC on Coursera. Massey is faculty co-director of Wharton People Analytics, co-host of “Wharton Moneyball” on SiriusXM Business Radio, and co-creator of the Massey-Peabody NFL Power Rankings for the Wall Street Journal.

Martine Haas is an Associate Professor of Management at The Wharton School, University of Pennsylvania, where her research focuses on collaboration within global, knowledge-intensive organizations. She has previously held positions at Cornell University and London Business School. Professor Haas's work examines various aspects of organizational behavior, including global teams, knowledge sharing, and the sociology of organizations. Her research has been published in prestigious journals and she serves as an associate editor for the Academy of Management Journal.In addition to her research, Professor Haas is an award-winning teacher who has instructed executives, PhD students, MBA students, and undergraduates in courses related to global strategy and organizational behavior. She has worked with notable organizations such as McKinsey & Company and Oxfam, and has consulted for institutions including the World Bank and the BBC. At Wharton, she teaches courses like "People Analytics," equipping students with the tools to analyze and manage human capital effectively in a global context.

Matthew Bidwell is an Associate Professor of Management at The Wharton School, University of Pennsylvania, where his research focuses on evolving patterns in work and employment. He examines the causes and effects of short-term, market-oriented employment relationships, particularly within the information technology sector. His studies delve into how contracting work is utilized by firms, the dynamics of worker mobility, and how organizations balance internal promotions with external hiring. Bidwell's research has been published in top academic journals such as the Journal of Finance and Management Science, and he has received several prestigious awards for his contributions to the field.In addition to his research, Professor Bidwell teaches courses like "AI Applications in People Management" and "People Analytics," where he prepares students to navigate the complexities of modern workforce dynamics. He holds a Ph.D. from the MIT Sloan School, an S.M. in Political Science from MIT, and an M.Chem from Oxford. His insights into labor market trends and organizational behavior make him a key figure in understanding contemporary employment practices and workforce management strategies