Teaching and Supervision – Umberto Grandi

Advanced Topics in Artificial Intelligence, Master MIAGE 2IS, since 2018. Formerly called Collective Intelligence
Introduction to Artificial Intelligence, Master MIAGE 2IS, since 2018
Software analysis and design, Master MIAGE 2IS, since 2023
Research workshop Master MIAGE 2IS, since 2017
Intelligence Artificielle, Master MIAGE IM, since 2016. Formerly called “Raisonnement et science de la décision”.
Introduction to Big Data and Artificial Intelligence, Master in Marketing, 2019-2022
Management information systems, Master in International Management, IAE, since Fall 2014
Simulations et perspectives, Licence Economie et Informatique, Faculté d’Informatique, 2014 and 2015
Conception de bases de données, Licence 3 Economie et Société, AES
Conception de sites web, Master MIAGE IM, Faculté d’Informatique

Tutorial on Belief and Opinion Dynamics and Aggregation in Multi-Agent Systems , together with Emiliano Lorini and Arianna Novaro, IJCAI-2021, Yokohama on Zoom, 2021 (video)
Tutorial on Social Choice and Mechanism Design on Social Networks, together with Dengji Zhao. AAMAS-2019, Montreal, Canada, 2019.
Tutorial on Judgment Aggregation given at the COST IC1205 Summer School on Computational Social Choice, San Sebastian, July 2016, and at EASSS-2017, Gdansk, Poland, August 2017.
ESSLLI course on Logical Frameworks for Multi-Agent Aggregation, Tübingen, August 2014
Lecturer for Decision Making and Social Networks, Graduate Programme in Informatics, University of Padova, June 2013
Lecturer (with Stéphane Airiau) of the MSc Logic Project Decision and Uncertainty: from Individual to Collective Choice, University of Amsterdam, June 2011
Co-organiser of the MSc Logic project on Modern Classics in Social Choice Theory, University of Amsterdam, June 2009

Timothy Parker, since 2021
Rachael Colley, graduated in 2023 with a dissertation on Expressive and Rational Delegations in Voting. Rachael is now Postdoc at the University of Glasgow, UK
Arianna Novaro, graduated in 2019 with a dissertation on Collective Decision-Making with Goals. Arianna is now assistant professor at Université Paris 1 Pantheon-Sorbonne

Grzegorz Gawron, “Information Retrieval using Multiwinner Elections and Controllable Diversity”, AGH University of Science and Technology, Poland, 2023 (external reviewer)
Thobias Hogrebe, “From Elections to Tournaments: A Study of the Computational Complexity of Bribery, Design, and Prediction Problems in Voting and Sports”, Heinrich-Heine Universitat Dusseldorf, Germany, 2022 (external reviewer)

Claire Pillet (M2 Intelligence Artificielle, Université Claude Bernard Lyon I), 2020. The influence of the turn taking on the diffusion of opinions.
Loujain Liekah (M2 Machine Learning and Data Mining, Université Jean Monnet), 2019. Multiagent Reinforcement Learning in Iterative Voting.
Grzegorz Lisowski (with Sylvie Doutre and Sonja Smets, University of Amsterdam), 2018. Preventing Manipulation in Aggregating Value-Based Argumentation Frameworks.
Beatrice Napolitano (with Gianluigi Greco, Universit´ della Calabria), 2018. Finding Consensus over Graph Knowledge Basis.
James Stewart (with Paolo Turrini, Imperial College London), 2017. The Computational Complexity of Bribery in a Network-Based Rating System.
Sirin Botan (with Laurent Perrussel and Ulle Endriss, Univeristy of Amsterdam), 2016. Propositional opinion diffusion with constraints.
Arianna Novaro (with Andreas Herzig and Ulle Endriss, University of Amsterdam), 2016. Judgment aggregation in dynamic logic of propositional assignments.
Nicolas Shao (with Sylvie Doutre, Elize Bonzon and Nicolas Maudet, University of Toulouse), 2015. Maximisation de la controverse en argumentation.

Presentation (in French) of the Research Workshop course series and its innovative pedagogy, which I co-created and taught in the Master MIAGE 2IS (slides)
“AlphaZero, ou comment maitriser le GO en 3 jours”, pre-bachelor class given at a summer school in Toulouse (slides)
A Prezi lecture (in French) “Introduction au paradigme du choix rationnel” (slides)