Itzhak Gilboa is Professor of Economics and Decision Sciences at HEC Paris and holder of the AXA Chair in Decision Sciences. He studies how people make decisions when information is scarce, especially when it is not sufficient to estimate probabilities in a reliable, scientific way, as well as what reasonable decision rules are in such situations.
These models can help understand the behavior of people and organizations in financial markets, as well as decisions related to healthcare and political uncertainty. Importantly, the models are also designed to help make better decisions in the face of uncertainty. Itzhak also works in other fields in economic theory, such as game theory and social choice.
He has been teaching a variety of courses on microeconomics, decision theory, game theory, psychology and economics, and related fields at the undergraduate, graduate, and MBA levels.
Itzhak is the author of several books, such as Analogies and Theories: Formal Models of Reasoning, Oxford University Press, 2015; Theory of Decision under Uncertainty, Cambridge University Press, 2009; Rational Choice, MIT Press, 2010; and Making Better Decisions, Wiley-Blackwell, 2010.
Itzhak Gilboa's research papers are published in prestigious scientific journals, such as American Economic Review, Games and Economic Behavior, Annual Reviews in Economics, Econometrica, Journal of Econometrics, Journal of Economic Theory, Journal of Economic Perspectives, Journal of Political Economy, Quarterly Journal of Economics, Review of Economics and Statistics, and Theoretical Economics.
Itzhak Gilboa studied Mathematics and Computer Science (BSc, 1982) and Economics (BA, 1982, MA, 1984, Ph.D., 1987) at Tel Aviv University, with the graduate studies under the supervision of David Schmeidler. He has served on various editorial boards and has been elected a member of prestigious professional societies.
He organizes the annual D-TEA conference, which brings together leading academics to explore cutting-edge research in decision sciences, spanning theory, experiments, and applications.
Economics & Finance