Pranav Gupta

Assistant Professor of Business Administration

Contact

6 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-333-8176

pranavgu@illinois.edu

Vita

Google Scholar

Website

Listings

Educational Background

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

Positions Held

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

Recent Publications

Bernstein, E., Gupta, P., Mortensen, M., & Leonardi, P. (2024). Collective Attention and Relational Overload: A Theory of Transactive Control in High-Permeability Intraorganizational Environments. Research In Organizational Behavior. link >
Gupta, P., Kim, Y., Glikson, E., & Woolley, A. (2024). Using Digital Nudges to Enhance Collective Intelligence in Online Collaboration: Insights from Unexpected Outcomes. MIS Quarterly, 48 (1), 393-408. link >

Other Publications

Articles

Gupta, P., & Woolley, A. (2023). Understanding Collective Intelligence: Investigating the Role of How Collective Collective Memory, Attention, and Reasoning Processes. Perspectives on Psychological Science. link >
Gupta, P., Nguyen, T., Gonzalez, C., & Woolley, A. (2023). Fostering Collective Intelligence in Human-AI Collaboration: Laying the Groundwork for COHUMAIN. Topics in Cognitive Science. 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 >
Glikson, E., Woolley, A., Gupta, P., & Kim, Y. (2019). Visualized Automatic Feedback in Virtual Teams. Frontiers in Psychology, 10 814. link >
Gupta, P., & Woolley, A. (2018). Productivity in an era of multi-teaming: The role of information dashboards and shared cognition in team performance Proceedings ACM Human-Computer Interaction (CSCW), 62 (2). link >

Book Chapters

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 >

Presentations

Gupta, P. (2024). Diagnosing Collaborative Dysfunctions Academy of Management, 2024.
Gupta, P., Woolley, A., & Glikson, E. (2024). Understanding Collective Intelligence. Upwork, Reimagining Work Series, Upwork.
Gupta, P. (2024). Understanding Collective Intelligence. Discovery Partners Institute (DPI) - R&D Speaker Series, Discovery Partners Institute (DPI.
Gupta, P. (2023). Transactive Systems Model of Collective Intelligence. Benjamin Lab Speaker Series, University of Illinois Urbana-Champaign (UIUC), College of Liberal Arts & Sciences, Department of Psychology, Benjamin Lab.
Gupta, P. (2023). Transactive Systems Model of Collective Intelligence. BCG Henderson Institute - Augmented Collective Intelligence Group Speaker Series, BCG Henderson Institute, Augmented Collective Intelligence Group.
Gupta, P. (2023). Using Artificial Intelligence to Enhance Collective Intelligence: A Transactive Systems Framework INFORMS 2023 Annual Meeting, INFORMS.
Gupta, P. (2023). Understanding and Improving your Team's Collective Intelligence. Academy of Management, 2023.
Gupta, P. (2023). Transactive Systems Model of Collective Intelligence. Computational Social Science Society of the Americas - Speaker Series, Computational Social Science Society of the Americas.
Gupta, P. (2023). AI-Enhanced Collective Intelligence. Transformative Knowledge Management Symposium, JAIST, Japan Advanced Institute of Science and Technology (JAIST.
Gupta, P. (2022). Future Directions in Team Science: Exploring the Role of Big Data and Data Analytics International Science of Team Science (INSciTS) Summer Panels, International Science of Team Science (INSciTS.

Working Papers

Gupta, P., Woolley, A., & Carley, K. Transactive Systems Model of Collective Intelligence: The Emergence and Regulation of Collective Memory, Attention, and Reasoning.

Honors and Awards

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

Grants

Attentional Control and Organizational Intelligence, Gies College of Business, 2024-2026
Multi-Agent Simulation Infrastructure for Advancing Human-AI Teaming Research and Teaching Capabilities at Gies, Gies College of Business, 2024-2025

Service

Program Committee Member, Collective Intelligence, 2023, 2023-2023

Research Interests

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

Current Courses

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.