BIANCHINI Stefano

Thèmes de recherche

• Economics of science and innovation
• Science of science
• Applied AI/ML

Activités d'expertise

• Member of expert groups for European Commission (DG-JRC-Modelling, Indicators and Impact Evaluation; DG-RTD-Research and Innovation) and OECD (Structural Policy Analysis Division, Economics Department)
• Rapporteur for Mutual Learning Exercise (MLE) on national policies for AI in science
• Consulting activities for private sector [data analytics]

Prix & Distinctions

• Winner of the “Guy Ourisson Prize 2020” (Gutenberg Circle)

Projets & Financements

• DInnAMICS (Demand-driven Innovation Assessment in Medical and unIversity eCo-Systems), 2019-2021. ANR
• ARISE (ARtificial Intelligence in the Science systEm), 2020-2022. CNRS MITI
• SEED (Sustainable Economies in the Era of Digital transformation), 2022-2025. ANR
• IA-Cluster ENACT/MANTRA, 2024-2028. ANR

Responsabilités

• Founder and coordinator of the MA Programme « Data science pour l'économie et l'entreprise DS2E » (Data Science for Economics and Business), FSEG Université de Strasbourg
• Director of the Chair “Data Science for Economics and Business”, Fondation Université de Strasbourg (supported by Crédit Agricole and Mazars)

Enseignement

• Mathématique II (24h – BA Unistra)
• Applied econometrics (15h – MA Unistra)
• Impact evaluation (15h – MA)
• Machine learning (40h – MA Unistra)
• Deep learning (40h – MA Unistra)

Informations complémentaires

• More info on the CV, click right here on the left