Courses Taught

Sciences Po – Campus Reims (total: 32 classroom hours & 50 students)
Academic Year 2024/25

• Culture et enjeux du numérique  (2 courses x 16 hours each, Collège Universitaire, 3 ECTS, in English)
  Links:  Syllabus 1    Syllabus 2 

Sciences Po – Campus Nancy  (total: 15 classroom hours & 25 students)
Academic Year 2024/25

• Introduction to Digital Culture (15 hours, Collège Universitaire, 3 ECTS, in English)
  Links: Syllabus 

Short description

These courses aim to equip students with the skills, methods, and tools necessary to appraise and understand how digital culture and technology (re)define our affordances, interactions, behaviors, and exchanges, reshaping our social, economic and political systems. Whether one plans to work in an international organization, a government body, an NGOs, a media company, a tech corp., or an academic institution, a deep understanding of digital culture and its implications is crucial for navigating the contemporary world.

Designed to provide students with key instruments to explore and map the cyberspace and its dynamics, the course covers diverse aspects of the digital world through a blend of its technical foundations, controversies, pop culture, and socio-economic implications. Topics discussed during the lectures include:

• Internet and the World Wide Web: foundations, design, protocols and architecture;

• The online sharing economy: from prosumers and cocreation to open software, wikis and the semantic web;

• Online social media as privatized agoras: Impacts on democratic processes;

• From the wisdom of the crowd to online herd behaviors and biases;

• Digital mobilization, activism and participatory initiatives;

• Auditing algorithms and machine-mediated interactions in the age of generative AI;

• Privacy, digital surveillance and the "control society";

For each of the above topics, we discuss its impact for public governance and markets, exploring together how digital culture increasingly shapes our consumption and investment decisions, government policies, identities, as well as other major contemporary socio-economic transformations.

Throughout the course, students learn to decode and (re)code digital challenges using interdisciplinary approaches grounded in media studies, sociology, political science, social psychology, behavioral economics, and computer science.

Venice School of Management (total: 90 classroom hours & 180 students)
Academic Year 2023/24

• Research Methods (30 hours, Master in International Management, 6 ECTS, in English)
  Links: Syllabus

•  Research Methods (30 hours, Master in Innovation and Marketing, 6 ECTS, in English)
  Links: Syllabus

Academic Year 2022/23

• Research Methods (30 hours, Master in Management, 6 ECTS, in English)
  Links: Syllabus

Short description

This course introduces Master's students to the foundations and practices of research in the socio-economic sciences. It aims to develop students’ abilities in research conceptualization, academic writing, and analytical understanding, while enriching their critical thinking and methodological skills.

Students are introduced to research design, data collection and curation techniques, as well as qualitative and quantitative analysis and modeling methods. The course offers an applied understanding of what it means to conduct research in the fields of management and socio-economic sciences. Through case studies, interactive hands-on sessions, and group projects, students face real-world challenges and decisions encountered in the research process. Key topics include:

• The research process in socio-economic sciences: what, how, when, who, where, and why;

• Paradigms and theoretical approaches to studying markets and socio-economic transformations;

• Research philosophy and approaches to theory development;

• Literature exploration, critical reading, and academic review;

• Research design and project planning;

• Data sources, data collection strategies, and curation techniques;

• API querying, web data crawling and scraping;

• Data exploration, visualization, and descriptive statistics;

• Research methodologies: from conceptual design to practical implementation;

• Qualitative methods and modeling techniques;

• Quantitative methods and statistical modeling;

• Inference-making and hypothesis testing;

• Evaluating reliability, validity, and generalizability of findings;

• Academic writing and dissertation presentation;

• Ethics, privacy, intellectual property, and the societal impact of research;

Designed as a comprehensive primer, this course equips students with the conceptual frameworks and practical tools needed to formulate, conduct, and communicate original research. It is particularly suited for those preparing thesis work or aiming for careers in research-intensive roles across academia, industry, or policy sectors. The course is tailored to the specific focus of each Master's curriculum, particularly in the selection of case studies and the emphasis placed on qualitatice and quantitiative methodological approaches most relevant to the program's disciplinary orientation.

Department of Economics (total: 180 classroom hours & 150 students)

Academic Year 2022/23

• Behavioural Economics (30 hours, Master in Economics, Finance and Sustainability, 6 ECTS, in English)
  Links: Syllabus

From Academic Year 2018/19 to Academic Year 2022/23

• Behavioural Economics (5 courses x 30 hours each, Master in QEM and Finance, 6 ECTS, in English)
  Links: Syllabus

Short description

This course introduces Master's students to the core conceptual, modeling, experimental, and empirical aspects of contemporary research in behavioural economics. It is designed to complement students’ previous knowledge of neoclassical microeconomics by highlighting key theoretical and methodological differences, particularly in terms of assumptions, modeling strategies, and behavioural predictions.

Throughout the course, behavioural theories will be systematically compared with their neoclassical counterparts, focusing on how they address empirically and experimentally observed violations of expected utility theory. Emphasis is placed on the contributions of behavioural economics to understanding decision-making under risk, strategic interaction, and bounded rationality.

Students will explore how behavioural models draw on insights from psychology, neuroscience, and other social and cognitive sciences to offer more realistic accounts of human behaviour. The course covers the following core topics:

• Behavioural models of decision-making under risk

• Human sociality and other-regarding preferences

• Behavioural time discounting theories

• Levels of thinking and strategic behaviour

• Reinforcement learning and belief-based learning

• Emotions, cognition, and economic behaviour

• Bounded rationality in financial markets

• Introduction to neuroeconomics

In addition to these foundational topics, the course explores two advanced themes:

• Risk and uncertainty perception, including the phenomenon of social amplification

• Causal and associative reasoning in mental models and expectation formation

These themes are discussed both during lectures and in dedicated weekly atelier sessions, where students engage with the instructor and research group to deepen their understanding through applied discussion and collaborative analysis.