Tag Archives: SCOR Fondation for Science

SCOR Project Newsletter #3

The third newsletter, related to the SCOR research project is now available. It is a brief summary of the third six months block, from October till the end of March (i.e. Fall and Winter). The first one is available here and the second one there. For the first time, we started writing one in French. I’d like to take this opportunity to thank all those involved in the project!

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Projet SCOR, Infolettre #3

La troisième infolettre associée au projet financé par la Fondation SCOR pour la science est enfin disponible ! Il s’agit d’un résumé, illustré, en quelques pages, de nos activités des six derniers mois, d’octobre à fin mars (autrement dit, pour l’automne et l’hiver). La nouveauté est qu’on inaugure la version en français de ces infolettres, la toute première étant en ligne ici (en anglais), et la seconde . Pour la troisième, une version en anglais est aussi disponible, bien entendu… Merci encore à toutes celles et ceux qui participent aux travaux du projet !

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SCOR Project Newsletter #2

The second newsletter, related to the SCOR research project is now available. It is a brief summary of the second six months block, from April till the end of September (the first one is available here).

As explained, over the past six months, we have had several interns, including Noé Bosc-Haddad, Florent Crouzet, Julien Siharath, Ana María Patrón Piñerez and Cassandra Mussard, the visit of Laurence Barry and Fei Huang, Philipp Ratz and Samuel Stocksieker defended their PhD, François Hu finished his postdoctoral fellowship, while Marouane Il Idrissi and Arsene Zotsa just arrived, Agathe Fernandes Machado and Olivier Côté (co-supervised with Ewen Gallic and Marie-Pier Côté) finished their PhD courses and are now 100% on their research… We wrote papers, gave talks… Thank you to all those who have supported us, and continue to support us. At least two more years to work on insurance and predictive models, fairness, calibration, discrimination, trust, explainability, interpretability, market equilibria, competition, generative models, and so much more… We’ve still got a lot of work to do, and plenty of enthusiasm!