Since 2025

Experimental methodology

Undergraduate Course - Paris-Nanterre University, Paris, France

Lecturer

The course covers:

  1. Introduction to experimental methodology. Introduction to causality and causal inference, presentation of the experimental method, its advantages and limitations.
  2. Introduction to doing (good) research. Between, and within designs, theoretical and operational weak and strong hypotheses, confidence intervals, types of effects (direct, mediated, moderated, confounders).
  3. Introduction to the linear model and inferences. Basic principles of the linear model, ANOVA and regression. Power, type I and II error, threshold, p-value.
  4. Introduction to open science. Pre-registration, HARKing, p-hacking, researchers’ degrees of freedom.

Introduction to R

Master Course - Paris-Cité University, Paris, France

Lecturer

The course covers:

  1. Introduction to the R language and functioning. Use and benefits of scripts, definition of an R object, a function, an argument, a package.
  2. Introduction to loading and inspecting data. Loading data, basic functions (colnames(), head(), str(), summary(), table(), etc.).
  3. Introduction to the tidyverse. Using the tidyverse and the pipe for basic data manipulation (mutate(), filter(), select(), pivot_longer(), pivot_wider(), drop_na(), etc.)
  4. Summarising data and fitting inferential models. Using packages to summarise data (gtsummary and modelsummary), fitting linear models with lm() and reporting them using modelsummary()).

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Since 2023

Introductory psychology

Undergraduate Course - Sorbonne-Nouvelle University, Paris, France

Lecturer

The course covers:

  1. Introduction to psychology. Definitions of psychology and the scientific method. Introduction to the 3 main paradigms of psychology (psychoanalysis, behaviourism, cognitivism).
  2. Introduction to attribution theories. Definition of an attribution. Introduction to the main attribution models (Weiner, 1985). Introduction to the models of the naive scientist (Jones & Davis, 1965; Kelley, 1967) and the cognitive miser (Gilbert, Pelham & Krull, 1988); Kelley & Michela, 1980).
  3. Introduction to cognitive and social categorisation, social identity theory, stereotypes, prejudice, and discrimination. Definition and functions of cognitive categorisation. Definition and functions of social categorisation. Introduction to self-categorisation and social identity theories. Definition and functions of stereotypes, prejudice, and discrimination, with ways to identify them and mitigate their undesirable effects.

Course I would like to teach

Behavioural insights and public policy

I would be happy to design a course on applied behavioural insights and public policy. It would cover a range of methods and frameworks for analysing and offering suggestions for public policy, from a behavioural science and social-cognitive perspective. If you would like to organise this course for your academic programme, please contact me :).