Pranav Gupta

Pranav Gupta

Assistant Professor of Business Administration

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Contact

6 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-333-8176

pranavgu@illinois.edu

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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

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.

Contact

6 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-333-8176

pranavgu@illinois.edu

Vita

Google Scholar

Website

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