The brainers

Nicolas Gauvrit – Mathematician and psychologist

Nicolas Gauvrit has a triple training in mathematics (Ecole Normale Supérieure de Lyon), psychology (Université Paris-Saint-Denis) and cognitive science (Ecole Polytechnique/Ecole des Hautes Etudes en Sciences Cognitives). He conducts research on human reasoning at the Ecole Pratique des Hautes Etudes in Paris. He is a member of the Société Française de Statistique and the Association Française pour l’Information Scientifique. He is the author of some 100 articles and 12 scientific books. In recent years, he has spoken to various media on the use of statistics, gender differences, reasoning and intelligence (France Culture, France Inter, Europe 1, Le Monde, Slate, Pour la Science, National Geographic…).

This brainer takes part in round-table discussions, offers improvisation sessions and the following solo talks:

Are men like women?

The issue of gender diversity in the workplace is an important one, and raises questions about the differences between men and women. This conference takes stock of what science knows about the psychological differences between men and women. Differences in personality, preferences and cognitive characteristics are reviewed.

Gender discrimination

Even if it doesn't explain all the differences between men and women, discrimination is very much present, and largely unconscious. We'll see how scientists demonstrate that such discrimination exists, how it can have far-reaching effects, and how to combat its effects.

Designing an opinion survey

Whether it's to gather the opinions of customers or employees, questionnaires are a simple, easy-to-implement solution. However, the design of a questionnaire must follow certain rules to prevent the results from being unusable or even misleading. We'll take a look at the main questions to ask when drawing up a questionnaire.

Evaluating the reliability of information on the Internet

The Internet has become the most widely used source of information (especially scientific). Its use is, however, risky, and sometimes leads to false information being taken at face value. We'll take a look at some concrete examples of the risks involved in searching the Internet in an unmethodical way, and how to avoid the pitfalls that this formidable tool provides for everyone.

The limits of rationality

Any search for information, any decision made by a human being, involves risks linked to the fact that human reasoning is far from perfectly rational. A set of systematic errors (biases), distortions of logic, lead us to make flawed decisions or to persevere in the wrong direction. Knowing what these biases are can help to overcome some of them and improve decision-making processes.

Our perception of randomness

Recognizing chance and determining its laws are complex mathematical problems. Yet we all have an intuitive idea of what chance is, an ability to perceive events which, because they deviate from chance, betray a will or a necessity. While this ability enables us to discover the laws of nature, and forms the very basis of statistics, it is often deceptive, leading us to see “laws” that don't exist, and to adopt irrational behavior. Our distorted view of chance can convince us that telepathy exists, that the full moon favours births or make us paranoid. We sometimes find events that are well explained by probabilities astounding. Thanks to “Bayesian” theory in psychology, we now have a better understanding of where these errors come from: man is an efficient, but limited, probabilistic animal.