Assistant Professor
David HAGMANN
Assistant Professor
hagmann@ust.hk
CV
Personal homepage
David HAGMANN

Research Interests

  • Information
  • Persuasion
  • Judgment and Decision Making
  • Behavioral Economics

Academic Qualifications

  • Ph.D. Carnegie Mellon University, Behavioral Decision Research
  • M.S. Carnegie Mellon University, Behavioral Decision Research
  • B.A. Fordham University, Mathematics and Economics

Academic And Professional Experience

  • The Hong Kong University of Science and Technology, Department of Management, Assistant Professor, July 2021 - present.

  • Harvard University, Harvard Kennedy School of Government, Postdoctoral Fellow, January 2019 - July 2021.

Publications

Refereed Journal Publications (Chronological, alphabetical)

  • Hagmann, D., Sajons, G. & Tinsley, C. H. Forthcoming. Base rate neglect as a source of inaccurate statistical discrimination. Management Science. (Download here)

  • Hagmann, D., Minson, J. A., & Tinsley, C. H. 2024. Personal narratives build trust across ideological divides. Journal of Applied Psychology, 109: 1693-1715. (Download here)

  • Chin, A., Hagmann, D., & Loewenstein, G. 2023. Fear and promise of the unknown: How losses discourage and promote exploration. Journal of Behavioral Decision Making, 36, e2309. (Download here)

  • Ho, E., Hagmann, D. & Loewenstein, G. 2021. Measuring information preferences. Management Science. (Download here)

  • Hagmann, D., Ho, E. & Loewenstein, G. 2019. Nudging out support for a carbon tax. Nature Climate Change, 9: 484-489. (Download here)

    • Honorable Mention for the Behavioral Science and Policy Association, 2022 Best Paper Award

  • Loewenstein, G., Hagmann, D., Schwartz, J., Ericson, K., Kessler, J., Bhargava, S., Blumenthal-Barby, J., D'Aunno, T., Handel, B., Kolstad, J., Nussbaum, D., Shaffer, V., Skinner, J., Ubel, P. & Zikmund-Fisher, B. 2017. A behavioral blueprint for improving health care policy. Behavioral Science & Policy, 3: 53-66. (Download here)

  • Golman, R., Hagmann, D., & Loewenstein, G. 2017. Information Avoidance. Journal of Economic Literature, 55: 96–135. (Download here)

  • Golman, R., Hagmann, D. and Miller, J. 2015. Polya’s Bees: A model of decentralized decision-making. Science Advances, 1: e1500253. (Download here)

  • Loewenstein, G., Bryce, C., Hagmann, D. & Rajpal, S. 2015. Warning: You are about to be nudged. Behavioral Science & Policy 1: 35–42. (Download here)

  • Hagmann, D., & Tassier, T. 2014. Endogenous movement and equilibrium selection in spatial coordination Games. Computational Economics, 44: 379–95. (Download here)

Book Chapters

  • Schwartz, B., Richerson, P.J., Berkman, B.E., Frankenreiter, J., Hagmann, D., Isaacowitz, D. M., Pachur, T., Schooler, L.J., & Wehling, P. 2021. The Deep Structure of Deliberate Ignorance: Mapping the Terrain. In R. Hertwig & C. Engel (Eds.), Deliberate Ignorance: Choosing Not to Know: 65-88. The MIT Press. (Download here)

Consortium Co-authorship

  • Fišar, M., Greiner, B., Huber, C., Katok, E., Ozkes, A.I. & the Management Science Reproducibility Collaboration. 2023 Reproducibility in Management Science. Management Science, 70: 1343-1356. (Member of Management Science Reproducibility Collaboration)(Download here)

  • Tierney, W. Hardy, J.H., Ebersole, C.R., Leavitt, K., Viganola, D., Giulia Clemente, E., Gordon, M., Dreber, A., Johannesson, M., Pfeiffer, T., Hiring Decisions Forecasting Collaboration, & Uhlmann, E.L. 2020. Creative destruction in science. Organizational Behavior and Human Decision Processes, 161: 291-309. (Member of Hiring Decisions Forecasting Collaboration) (Download here)

Funded Projects

  • RGC General Research Fund, "The Power of What-If: Using Counterfactuals to Persuade," 2026-2029, Principal Investigator, HKD 579,600.

  • SBM Strategic Fund for Futuristic Business Research, "Generative Artificial Intelligence as a Cognitive Partner for Human Responders", 2025-2027, Principal Investigator, HKD 1,400,000.

  • RGC Early Career Scheme, "(Un)Willing to Debate: Persuasion at the Extensive Margin", 2023-2026, Principal Investigator, HKD 631,331.

  • HKUST IEMS Research Grant, "Counterproductive Transparency: Why Disclosure of AI Generated Content Backfires", 2025-2026, Principal Investigator, HKD 80,000.

  • HKUST EDGE-AI Teaching Grant, "Are AI Users Cutting-Edge Innovators or Incompetent Slackers? Image Concerns in the Use and Adoption of Generative AI," 2023-2025, Co-Principal Investigator, HKD 250,000.

Honors And Awards

  • 2024.  Finalist, Franklin Prize for Teaching Excellence (MBA core)