Three keynote lectures
Ashish Arora (Duke), Joshua Krieger (Harvard), and Dashun Wang (Northwestern).
11th edition · Nice, France
Data & Algorithms for Science, Technology
& Innovation Studies
7–9 September 2026 · Valrose Castle
A three-day summer school for researchers working with large-scale data on science and innovation.
About the school
11th edition: Rendez-vous in La Douce France
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 researchers across career stages — from PhD students to senior scholars — across economics, management, and sociology. We dig into the data nitty-gritty, discover state-of-the-art algorithms, and get jointly excited about how to use it all to answer the questions that matter — better.
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
What to expect
Practitioner sessions
Speakers from Google and the European Patent Office introduce new initiatives, tools, and data resources that matter for academic research on science and innovation.
Panel discussion: AI as leverage for science and innovation in Europe
An interactive panel where AI entrepreneurs and policymakers debate whether — and how — Europe can harness AI to advance science and innovation.
Contributed sessions
Short and long presentations from participants, with poster and plenary discussion. No parallel tracks — everyone sees everything.
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
- 8 May 2026Submission deadlineAbstracts, full papers, session proposals
- 22 May 2026Notification of acceptance
- 15 August 2026Registration closes
- 7–9 September 2026Summer schoolValrose 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.
In collaboration with
