Three keynote lectures
Ashish Arora (Duke / Fuqua), Joshua Krieger (Harvard Business School), and Dashun Wang (Kellogg / Northwestern).
11th edition · Nice, France
7–9 September 2026 · Valrose Castle
A three-day summer school bringing together PhD students, early-career researchers, and leading scholars working with large-scale data on science and innovation.
About the school
The Summer School on Data and Algorithms for Science, Technology & Innovation Studies is an annual gathering for researchers working with large-scale data on science and innovation. Founded at KU Leuven, now in its 11th edition, it brings together PhD students, early-career researchers, and leading scholars from economics, management, and sociology.
The 2026 edition takes place at the 19th-century Valrose Castle in Nice, hosted by SKEMA Business School in collaboration with KU Leuven, Google, the European Patent Office, Université Côte d'Azur, and UCD Dublin.
2026 highlights
Ashish Arora (Duke / Fuqua), Joshua Krieger (Harvard Business School), and Dashun Wang (Kellogg / Northwestern).
The first afternoon features targeted sessions and hands-on workshops for early-career scholars, with guest speakers from Google and the EPO.
An interactive panel with Ludovic Dibiaggio (SKEMA), Reinhilde Veugelers (KU Leuven), AI entrepreneurs, and regional and EU policymakers.
Social gathering and dinner on the beach on the evening of 8 September, set against the Côte d'Azur.
Key dates
We welcome abstracts, full papers, or proposals for a dedicated session on the development and use of data and algorithms in ST&I, including machine learning, natural language processing, and AI.
In collaboration with
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