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11th edition · Nice, France

Data & Algorithms for Science, Technology
& Innovation Studies

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

Three days. Eighty scholars. One Mediterranean castle.

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.

Read more about the school

2026 highlights

What to expect

Three keynote lectures

Ashish Arora (Duke / Fuqua), Joshua Krieger (Harvard Business School), and Dashun Wang (Kellogg / Northwestern).

See speakers →

Early-career sessions

The first afternoon features targeted sessions and hands-on workshops for early-career scholars, with guest speakers from Google and the EPO.

See program →

AI & Innovation panel

An interactive panel with Ludovic Dibiaggio (SKEMA), Reinhilde Veugelers (KU Leuven), AI entrepreneurs, and regional and EU policymakers.

Dinner on the beach

Social gathering and dinner on the beach on the evening of 8 September, set against the Côte d'Azur.

Key dates

Mark your calendar

  1. 8 May 2026
    Submission deadline
    Abstracts, full papers, session proposals
  2. 22 May 2026
    Notification of acceptance
  3. 15 August 2026
    Registration closes
  4. 7–9 September 2026
    Summer school
    Valrose Castle, Nice

Submit your paper by 8 May 2026

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.

Read the Call for Papers

In collaboration with

Partners

  • KU Leuven
  • Google
  • European Patent Office
  • SKEMA Business School
  • Université Côte d'Azur
  • UCD Dublin

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