The participants of the 2017 Sloan-Nomis Program Inaugural Symposium and Retreat
PROGRAM LEADERS
Andrew Caplin (andrew.caplin@nyu.edu), New York University – Andrew Caplin is Silver Professor of Economics, Co-Director of Center for Experimental Social Science, and Deputy Director of the Institute for the Study of Decision Making, at NYU. He is also a Fellow of the Econometric Society, Director of the Scientific Agenda for The HUMAN Project, a Research Associate at NBER, and Co-Director of the Behavioral Macroeconomics Group, as well as Principal Investigator in the Vanguard Research Initiative. He specializes in ignoring artificial boundaries between disciplines.
Ernst Fehr (ernst.fehr@econ.uzh.ch), University of Zurich – Ernst Fehr is Professor of Economics at the University of Zurich and the Director of the Laboratory for Social and Neural Systems Research at the Department of Economics. He conducted extensive research on the neural and the psychological foundations as well as the economic and social consequences of human social preferences. Currently, he is involved in research on interventions that engineer welfare-improving cultural norms and the attentional/perceptual foundations of economic behavior. He is a former president of the Economic Science Association and of the European Economic Association, an honorary member of the American Academy of Arts and Sciences, and John Kenneth Galbraith Fellow of the American Academy of Political and Social Sciences.
Michael Woodford (mw2230@columbia.edu), Columbia University – Michael Woodford is the John Bates Clark Professor of Political Economy at Columbia University. He is a Fellow of the American Academy of Arts and Sciences, of the Econometric Society, and of the Society for the Advancement of Economic Theory, a Guggenheim Fellow, a MacArthur Fellow, and a recipient of the Deutsche Bank Prize for Financial Economics. His current research focuses on implications of bounded rationality for macroeconomic analysis, with particular emphasis on the consequences of decisions based on imprecise mental representations.
PARTICIPANTS
Carlos Alós-Ferrer (carlos.alos-ferrer@uni-koeln.de), University of Cologne – Carlos Alos-Ferrer is the Chair of Economics and a full professor of Microeconomics at the University of Cologne. His research interests include neuroeconomics, decision and game theory, and evolution and networks, among others.
Colin Camerer (camerer@hss.caltech.edu), California Institute of Technology – Colin Camerer is the Robert Kirby Professor of Behavioral Finance and Economics at Caltech and author of Behavioral game theory: experiments in strategic interaction (2003). Before coming to Caltech in 1994, Camerer worked at the Kellogg, Wharton, and University of Chicago business schools. He studies both behavioral and experimental economics.
Nicholas Chater (Nick.Chater@wbs.ac.uk), Warwick Business School – Nick Chater is a Professor of Behavioral Science at the Warwick Business School of the University of Warwick. His research interests cover cognitive and behavioural sciences, especially reasoning, decision making and language, and their applications to public policy and the private sector.
Mark Dean (mark.dean@columbia.edu), Columbia University – Mark Dean is an Assistant Professor of Economics at Columbia University. His primary fields of study are microeconomic theory, behavioral economics, and experimental economics, with secondary interests in neuroscience and the application of behavioral models to development economics.
Benedetto De Martino (b.martino@ucl.ac.uk), University College London – Benedetto De Martino is a researcher with the University College London. His group seeks to develop a mechanistic understanding of the neural computations underpinning the decision-making process across a broad range of domains such as perceptual, economic and social choice.
Helga Fehr-Duda (helga.fehr@bf.uzh.ch), University of Zurich – Helga Fehr-Duda is a Professor of Decision Theory and Experimental Decision Research at the University of Zurich after spending several years in the private sector. Her work focuses on modeling, measuring and estimating individual preferences over risk and delay, and she has recently become interested in the interactions between risk and time in decision-making.
Samuel Gershman (gershman@fas.harvard.edu), Harvard University – Samuel Gershman is an Assistant Professor in the Department of Psychology at Harvard University. His research interests are learning, memory, decision-making, and computational neuroscience, and his eponymous research lab uses a combination of behavioral, neuroimaging and computational techniques to investigate these areas.
Paul Glimcher (paul.glimcher@nyu.edu), New York University – Paul W. Glimcher is the Julius Silver Professor of Neural Science, Economics, and Psychology at New York University (NYU), Director of NYU’s Institute for the Study of Decision Making, and Director of the Glimcher Lab in NYU’s Center for Neural Science. His research aims to describe the neural events that underlie behavioral decision-making using tools from economics, psychology and neuroscience.
Joshua Gold (jigold@mail.med.upenn.edu), University of Pennsylvania – Joshua Gold is a Professor of Neuroscience, and the co-director of the Computational Neuroscience Initiative at the University of Pennsylvania. He studies the neural basis of decision-making in order to find new approaches to understand, diagnose, and treat disorders of learning and cognition.
Daniel Goroff (goroff@sloan.org), Sloan Foundation – Daniel L. Goroff is Vice President and Program Director at the Alfred P. Sloan Foundation, a grant-making philanthropy that supports breakthroughs in science, technology, and economics. He is also Professor Emeritus of Mathematics and Economics at Claremont’s Harvey Mudd College, where he served as Vice President for Academic Affairs and Dean of the Faculty.
Jacqueline Gottlieb (jg2141@columbia.edu), Columbia University – Jacqueline Gottlieb is a Professor of Neuroscience at the Zuckerman Mind Brain Behavior Institute at Columbia University, where she studies the mechanisms of information sampling, active learning, and curiosity, and their significance for attention, decisions and cognitive control.
Thomas Griffiths (tom_griffiths@berkeley.edu), University of California, Berkeley – Thomas Griffiths is the Director of the Computational Cognitive Science Lab and the Institute of Cognitive and Brain Sciences at the University of California, Berkeley. His research focuses on how novel approaches to data collection and analysis – particularly “big data” – can change psychological research.
Andreas Hefti (andreas.hefti@econ.uzh.ch), University of Zurich – Andres Hefti is Senior Research Associate at the Economics Department of the University of Zurich, as well as the co-director of the new Center of Energy and Environment (CEE) at the School of Management and Law of the Zurich University of Applied Sciences. He is also an affiliated researcher with the SCCER CREST, and studies bounded rationality and economic interaction, attention, game theory, and mathematical economics.
Harrison Hong (hh2679@columbia.edu), Columbia University – Harrison Hong is Professor of Economics at Columbia University, previously the John Scully ’66 Professor of Economics and Finance at Princeton University until July 2016. His work has covered diverse topics, including behavioral finance and market efficiency, agency and biased decisions, organizational diseconomies and performance, social interaction and investor behavior, and social responsibility and the stock market.
Eric Johnson (ejj3@gsb.columbia.edu), Columbia Business School – Eric Johnson is a faculty member at the Columbia Business School at Columbia University where he is the inaugural holder of the Norman Eig Chair of Business, and Director of the Center for Decision Sciences. His research examines the interface between behavioral decision research, economics and the decisions made by consumers, managers, and their implications for public policy, markets and marketing.
David Laibson (dlaibson@harvard.edu), Harvard University – David Laibson is the Robert I. Goldman Professor of Economics and Chairman of the Department of Economics at Harvard University. He leads Harvard Universityʼs Foundations of Human Behavior Initiative. Laibsonʼs research focuses on the topic of behavioral economics, with emphasis on household finance, macroeconomics, aging, and intertemporal choice.
John Leahy (jvleahy@umich.edu), University of Michigan – John Leahy is the Allen Sinai Professor of Macroeconomics at the University of Michigan, as well as Professor of Economics and Professor of Public Policy. Much of his work considers the psychological side of consumerism, analyzing individuated, decision-making processes.
Wei Ji Ma (mailto:weijima@nyu.edu), New York University – Wei Ji Ma is Associate Professor of Neuroscience and Psychology at New York University. His lab studies perception, attention, working memory, decision-making, and thinking using human behavioral experiments and mathematical modeling. Recent projects have focused on optimal attentional allocation, decision-making in sequential games, and exploration/exploitation.
Ulrike Malmendier (ulrike@berkeley.edu), University of California, Berkeley – Ulrike Malmendier is the Edward and Mollie Arnold Professor of Finance and Professor of Economics at the University of California, Berkeley. Her fields of study are corporate and behavioral finance, and some of her work includes research on CEO overconfidence, the long-term frugality of Depression “babies,” and the decision-making behind gym membership.
Filip Matejka (filip.matejka@cerge-ei.cz), CERGE, Charles University, Prague – Filip Matejka is an Associate Professor with Tenure at CERGE, Charles University, Prague, and a Researcher at the Economics Institute of the Czech Academy of Sciences. His area of research is mainly macroeconomics, information economics (mostly rational inattention), and behavioral economics.
Paulo Natenzon (pnatenzon@wustl.edu), Washington University in St. Louis – Paulo Natenzon is an Assistant Professor in the Department of Economics at Washington University in St. Louis. His primary research interests are in economic theory, decision theory, and behavioral economics, with a secondary interest in financial economics.
Muriel Niederle (niederle@stanford.edu), Stanford University – Muriel Niederle is a professor in the Department of Economics at Stanford University. Her work focuses on experimental and behavioral economics and market design, as well as gender and diversity in economics and decision-making.
Pietro Ortoleva (pietro.ortoleva@princeton.edu), Princeton University – Pietro Ortoleva is a Professor of Economics and Public Affairs at Princeton University. His research interests include decision theory, behavioral economics, experimental economics, and the political economy.
Elise Payzan-LeNestour (elise@elisepayzan.com), University of New South Wales – Elise Payzan-LeNestour is a Senior Lecturer at the University of New South Wales Business School. Her neurofinance research builds on recent results and methods from experimental economics, behavioral economics, machine learning, and cognitive neuroscience.
Monika Piazzesi (piazzesi@stanford.edu), Stanford University – Monika Piazzesi is the Joan Kenney Professor of Economics, School of Humanities and Sciences at Stanford University as well as a Senior Fellow of the Stanford Institute for Economic Policy Research. Her research interests include financial economics, macroeconomics, and applied time series analysis.
Antonio Rangel (rangel@hss.caltech.edu), California Institute of Technology – Antonio Rangel is the Bing Professor of Neuroscience, Behavioral Biology, and Economics at the California Institute of Technology. He studies the computational and neurobiological basis of human decision-making, using a variety of tools from neuroscience, economics, psychology, and computer science.
A. David Redish (redish@umn.edu), University of Minnesota – A. David Redish is a Distinguished McKnight University Professor of Neuroscience at the University of Minnesota. His research deals with behavior, decision-making, and information processing in neural systems, particularly how multiple learning and memory systems interact to produce behavior.
Markus Reinhard (M.Reinhard@nomisfoundation.ch), NOMIS Foundation – Markus Reinhard has served as managing director for the NOMIS Foundation since April 2015, following 25 years as an executive in international business. Before joining NOMIS, he spent 15 years in the healthcare industry, and served as senior vice president and head of global human resources for Baxter BioScience (Baxalta) for the last five years.
Kareen Rozen (kareen_rozen@brown.edu), Brown University – Kareen Rozen is an Associate Professor in the Department of Economics at Brown University. Her research in behavioral economics deals with the implications of bounded rationality in both decision-theoretic and interactive environments, and choice settings.
Christian Ruff (christian.ruff@econ.uzh.ch), University of Zurich – Christian Ruff is a Professor of Neuroeconomics and Decision Neuroscience at the University of Zurich. His research investigates neural mechanisms of decision-making in perception and behavior, creating models that will contribute to a truly mechanistic understanding of human decision-making.
Andrew Schotter (andrew.schotter@nyu.edu), New York University – Andrew Schotter is currently a Professor of Economics at New York University and the Director of the Center for Experimental Social Science (C.E.S.S.). His main area of research is in economic theory, game theory, and especially experimental economics.
Andrei Shleifer (ashleifer@harvard.edu), Harvard University – Andrei Shleifer is a Professor of Economics at Harvard University. Shleifer has worked in the areas of comparative corporate governance, law and finance, and behavioral finance, as well as institutional economics.
Rava Azeredo da Silveira (rava@ens.fr), Ecole Normale Supérieure – Rava Azeredo da Silveira is a professor in the Department of Physics at the Ecole Normale Supérieure. His research is in the fields of quantitative neuroscience and biophysics where, among other topics, he studies computation and adaptation in single neurons and small neural networks.
Jakub Steiner (Jakub.Steiner@cerge-ei.cz), University of Edinburgh – Jakub Steiner is a Professorial Fellow with the University of Edinburgh. Since he began working for a Roma community, he has developed an interest in economics of social exclusion, and studies behavior in strategic situations with the possibility of self-fulfilling prophecies (such as those that arise during currency attacks, bank runs, and revolutions.)
Luminita Stevens (stevens@econ.umd.edu), University of Maryland – Luminita Stevens is an Assistant Professor of Economics at the University of Maryland. Her research area is macroeconomics, and her work studies the impact of information frictions on firm price setting, inflation dynamics, and income inequality, using a blend of applied theory, empirical and experimental methods.
Alan Stocker (astocker@sas.upenn.edu), University of Pennsylvania – Alan Stocker is an Associate Professor of Psychology at the University of Pennsylvania. His specific research areas are modeling visual perception and decision-making, and linking theory to psychophysical and physiological data.
Chris Summerfield (christopher.summerfield@psy.ox.ac.uk), University of Oxford – Chris Summerfield is a Professor of Cognitive Neuroscience at the University of Oxford. His work is concerned with understanding the neural and computational mechanisms that underlie human perception and cognition.
Elke Weber (eweber@princeton.edu), Princeton University – Elke Weber is the Gerhard R. Andlinger Professor in the Department of Psychology at Princeton University. Her research interests include decision-making, risk-taking, economics behaviors, and the social implications thereof.
Valentin Wyart (valentin.wyart@ens.fr), Ecole Normale Supérieure – Valentin Wyart is the Principal Investigator at the Laboratoire de Neurosciences Cognitives of the Ecole Normale Supérieure. His research focuses on the neurobiological basis of human decision-making, and relies on a synergistic cross-talk between computational modeling, cognitive psychology and neuroscience to understand how humans make decisions (and especially why they make errors) in the face of uncertainty.
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