Bernoulli Lectures

The Bernoulli Lectures for the Behavioral Sciences honour researchers who have contributed significantly to the development of the behavioural sciences, particularly in the fields of Psychology and Economics.

A list of past awardees and respective lecture abstracts can be found below.


2017, 7th Bernoulli Lecture: Prof. Dr. Brian Knutson, Stanford University, USA

Towards a Neural Basis for Expected Utility

Increasing resolution of neuroimaging techniques has allowed investigators to track changes in neural activity not only resulting from, but also in anticipation of choice. This has supported identification of circuits that respond to the magnitude and probability of expected gains and losses, as well as determination of whether their activity can also predict upcoming choice. Even more recent evidence suggests that beyond predicting individual choice, activity in some of these circuits may forecast aggregate choice. Although not a perfect match, these collected findings imply that in less than two decades, researchers are converging on a neural basis for expected utility.

More information: Flyer.

2016, 6th Bernoulli Lecture: Prof. Dr. Vernon L. Smith, Chapman University, USA (Nobel Memorial Prize in Economic Sciences, 2002)

vernonsmith

You Learn the Most When You Find Your Beliefs to be False: Three Examples from Experimental Economics

The lecture addressed three propositions that were once commonly believed by economists, but that were not valid: First, in the 1960s there was the belief that efficient competitive market outcomes are not attainable in the absence of complete information on supply and demand. Second, in 1980s, the belief that price bubbles in asset markets will not occur if asset value is known and transparent. Third, in the 1990s, the belief that anonymously matched people will fail to cooperate in single play trust games.

Laboratory experiments were prominent in transforming these false beliefs and the process of overcoming professional resistance to these propositions was instrumental to the acceptance of the subfield of experimental economics—a quite unintended consequence of that exploration process. Smith used these examples to argue that it is when we challenge the validity of our personal beliefs that we stand to learn the most; when we must reexamine what we think we know, and learn from the experience.

More information here: flyer, slides.


2015, 5th Bernoulli Lecture: Prof. Dr. Ulrike Malmendier, University of California, Berkeley, USA

Malmendier_2015

The Role of Lifetime Experiences in Decision Making

Traditional economic approaches leave little room for people being shaped by their lifetime experiences. Psychologists have long argued to that a personal experience leaves a different impact on individuals’ beliefs and willingness to take risks than “learned” information. An emerging literature on “experience effects” incorporates psychological underpinnings such as the availability heuristic and recency bias into economic models. This literature has been successful in explaining some of the most significant financial decisions individuals make over their lifetimes, including the decision to buy a house, what mortgage to pick, or whether to invest in the stock market. This lecture will provide an overview of recent findings and challenges in the field.

More information (flyer).


 

2013, 4th Bernoulli Lecture: Prof. Dr. David Laibson, Harvard University, USA

Laibson_2013

Can We Control Our Selves? Policy Design for Agents with Self-Control

Problems Agents have difficulty managing themselves. Self-control problems, sometimes coupled with a lack of self-knowledge about these problems, leads agents to make self-defeating choices in many important domains, such as savings, exercise, health care adherence, and educational attainment. In this talk Prof. Laibson discusses a range of policies that are designed to help agents with self-control problems make fewer self-defeating decisions.

More information (flyer).


2012, 3rd Bernoulli Lecture: Prof. Dr. Michael Tomasello, Max Planck Institute for Evolutionary Anthropology, Germany

Tomasello_2012

Human Collaboration

Although great apes collaborate for some purposes, recent studies comparing chimpanzees and human children suggest that human collaboration is unique both cognitively and motivationally. In particular humans seem adapted for collaborative foraging, as even young children display numerous relevant mechanisms, from special ways of coordinating and communicating to special ways of sharing food to special forms of social evaluation. The Shared Intentionality hypothesis specifies the ontogeny of these underlying mechanisms and their consequences for both human cognition and human social life.

More information (flyer).


2011, 2nd Bernoulli Lecture: Prof. Dr. Ernst Fehr, University of Zurich, Switzerland

Fehr_2011

Die Rolle von Eigennutz und Gemeinnutz in Wirtschaft und Gesellschaft

Im täglichen Leben verhält sich der Mensch teilweise eigennützig und teilweise gemeinnützig. Im Vortrag wird gezeigt, unter welchen Bedingungen gemeinnütziges Verhalten dominiert, und wann der Eigennutz obsiegt. Die Erkenntnisse aus wissenschaftlichen Experimenten zeigen, dass bei vielen Menschen eine Bereitschaft zur freiwilligen Kooperation existiert, diese Bereitschaft aber nicht ausreicht, um allgemeine Kooperation zu erzeugen. Anreize und Sanktionsmöglichkeiten sind daher notwendig. Sanktionen sind vor allem dann wirksam, wenn zivile Kooperationsnormen stark sind und die Bestrafung von Regelverletzungen als legitim anerkannt wird. Der Vortrag wird auch neuere Erkenntnisse über die neuronalen Grundlagen von Kooperations- und Sanktionsverhalten berücksichtigen.

More information (flyer).


2010, 1st Bernoulli Lecture: Prof. Dr. Gerd Gigerenzer, Max Planck Institute for Human Development, Germany

Gigerenzer_2010

Wie trifft man gute Entscheidungen?

Im Jahre 1738 gelang Daniel Bernoulli ein großer Durchbruch mit der Entwicklung der Grundlagen der modernen Entscheidungstheorie. Deren Motto ist „erst wägen, dann wagen“ und „erst denken, dann handeln.“ Hat uns diese geholfen, bessere Entscheidungen zu treffen? Warum urteilen dennoch Manager immer wieder aus „dem Bauch“ heraus, und wieso verlässt sich Otto Normalverbraucher bei der Wahl eines Jobs oder Lebenspartners auf Gefühl statt Logik? Dieser Vortrag gibt einen Einblick in die Forschung, die zeigt, dass einfache, intuitive Entscheidungsregeln oft zu besseren Ergebnissen führen als komplexe statistische Software-Pakete. Weniger kann mehr sein.

More information (flyer).