Andrzej Baranski

Andrzej Baranski

I am an associate professor of economics at New York University Abu Dhabi, where I direct the Social Science Experimental Laboratory (SSEL) and the cluster of Experimental Social Science. I build and test models to better understand phenomena such as multilateral bargaining, contracting, and incentive provision in groups. I study the trade-off between productive and rent-seeking activities that arise in human organizations, and the mechanisms that promote efficiency in such settings.

  • Collective Decision-Making
  • Bargaining and Negotiation Games
  • Experimental Economics
  • Behavioral Economics
  • Economic Psychology
  • Experimental Political Economy
  • Experimental Game Theory
See publications →

News

Upcoming events (4)

  • October 31, 2026Paper

    ESA North America

    Charlottesville, Virginia, USA

    Presenting: Order Bias in Performance Evaluation: An Experiment with Sequential Contributors

  • November 2, 2026Paper

    Universidad Francisco Marroquín

    Ciudad de Guatemala, Guatemala

    Presenting: Order Bias in Performance Evaluation: An Experiment with Sequential Contributors

  • November 12, 2026Talk

    American University of Sharjah

    Sharjah, UAE

    Guest Talk: More Than a Research Space: The Experimental Lab as a Catalyst for Academic Excellence

  • January 4, 2027Talk

    ASSA ESA Session on Experiments on Bounded Rationality and Communication

    Washington DC, USA

    Guest Talk: Are teams more rational than individuals? A meta-study and new experiments

Recent highlight

October 2026

New tool: Communication Annotation Tool (CAT)

A browser-based platform that helps experimental social scientists analyze free-form communication using large language models, with no programming or API expertise needed.

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We are pleased to introduce the Communication Annotation Tool (CAT), a browser-based platform that helps experimental social scientists analyze free-form communication using large language models. CAT enables researchers to create flexible coding manuals, annotate messages or complete conversations using multiple LLMs, assess coding reliability, review problematic cases, and generate replication-ready datasets and documentation (all without programming or API expertise).

CAT is designed to make rigorous content analysis faster, more affordable, transparent, and reproducible. A guided tutorial and video are available on the CAT website.

If you are wondering whether LLMs are reliable for coding communication content in experiments, we answer this methodological question here:

Visit CATDocumentationRead the paper

Portrait of Andrzej Baranski
  • Associate Professor of Economics
  • Director, Social Science Experimental Laboratory (SSEL)
  • Director, Master's Program in Economics
  • Affiliate, Center for Behavioral Institutional Design (C-BID)
  • New York University Abu Dhabi