Pranav Gupta

• Ph.D, Organizational Behavior & Theory, Tepper School of Business, Carnegie Mellon University, 2022
• M.S., Organizational Behavior & Theory, Tepper School of Business, Carnegie Mellon University, 2017
• M.A., Design with Social Networks, School of Human Ecology, Cornell University, 2014
• B.Tech, Mechanical Engineering, Veermata Jeejabai Technological Institute, 2011

• Assistant Professor, Business Administration, University of Illinois at Urbana-Champaign, 2022 to present

• Gupta, P., Nguyen, T., Gonzalez, C., & Woolley, A. Forthcoming. Fostering Collective Intelligence in Human-AI Collaboration: Laying the Groundwork for COHUMAIN. Topics in Cognitive Science.
• Gupta, P., Kim, Y., Glikson, E., & Woolley, A. Forthcoming. Using Digital Nudges to Enhance Collective Intelligence in Online Collaboration: Insights from Unexpected Outcomes. MIS Quarterly.
• Woolley, A., Gupta, P., & Glikson, E., Gilson, L.L. & O'Neill, T. & Maynard, M.T. (Ed.) (2023). Using AI to enhance Collective Intelligence in Virtual Teams: Augmenting cognition with technology to help teams adapt to complexity. Handbook of Virtual Work ( pp. 67–88). Edward Elgar Publishing.  link >
• Eadeh, F., Zhao, M., Nguyen, T., Gupta, P., Admoni, H., Gonzalez, C., & Woolley, A. (2022). Teaching Agents to Understand Teamwork: Evaluating and Predicting Collective Intelligence as a Latent Variable via Hidden Markov Models Computers in Human Behavior.  link >
• Gupta, P., & Woolley, A. (2021). Articulating the Role of Artificial Intelligence in Collective Intelligence: A Transactive Systems Framework. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65 (1), 670--674.  link >
• Kaufmann, R., Gupta, P., & Taylor, J. (2021). An Active Inference Model of Collective Intelligence. Entropy, 23 (7), 830.  link >
• Riedl, C., Kim, Y., Gupta, P., Malone, T., & Woolley, A. (2021). Quantifying collective intelligence in human groups. Proceedings of the National Academy of Sciences, 118 (21).  link >

• The Herbert A. Simon Doctoral Dissertation Award in Behavioral Research in the Administrative Sciences, Tepper School of Business, CMU, 2022
• "Artificial Social Intelligence for Successful Teams (ASIST)", DARPA Grant, PI: Anita Woolley, 2019-2022
• Paul S. Goodman Doctoral Dissertation Award, Tepper School of Business, CMU, 2020
• Gerald R. Salancik Dissertation Fellowship Award, Tepper School of Business, CMU, 2019
• CMU Presidential Fellowship Award, Carnegie Mellon University, 2018-2019

Understand & Cultivate Intelligent Behavior in Complex Adaptive Socio-Technical Systems
My work investigates how humans work together adaptively and how technology can augment our capacity for dynamic coordination in self-organizing teams, organizations, and communities.

This research is organized across three umbrella topics -
Collective Intelligence (CI) » Emergence of Collective Memory, Attention, and Reasoning
Machine Theory of CI » Digitally Nudging, Diagnosing, and Coaching Team Processes
Computational Social Science » Multi-Agent Modeling and Simulation, Archival Analysis

• Leading Individuals and Teams (BADM 311) Understanding the behavior of employees in work organizations; particular attention to the motivation of individuals to join and perform in organizations and to employee satisfaction with elements of the work environment; and emphasis on various management strategies to modify employee motivation and satisfaction.

• Leading Negotiations (BADM 314) Aims to advance students' ability to negotiate formal and informal business agreements and resolve conflicts effectively. Because leaders depend on others to accomplish goals, leaders need to be skilled negotiators to generate solution that are acceptable, valuable, and able to be implemented. Students will engage in a series of negotiations that provide practice and impart a framework for planning for, conducting, and analyzing negotiations.