EuADS Summer School "Data Science and AI meet Economics"

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Peter Flach

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May 18, 2026, 10:59:01 AM (2 days ago) May 18
to Machine Learning News
The European Association for Data Science (EuADS) is pleased to announce 
the 2026 instalment of its popular Summer School series.

What: EuADS Summer School "Data Science and AI meet Economics"
When: 5-7 July 2026
Where: Maison d’Accueil (Convent of the Franciscan Sisters), 50 avenue
Gaston Diderich, L-1420 Luxembourg-Belair
Register until: 1 June 2026, places are filling up fast!

Data science (DS) and artificial intelligence (AI) have become central 
to modern economics as the discipline has shifted from theory to data 
and computation. Today, economists work with massive, complex datasets 
and study increasingly nonlinear, strategic, and dynamic systems -- 
areas in which data science, AI and machine learning provide powerful 
tools for efficiently processing high-dimensional, unstructured, and 
large-scale data. DS/AI methods improve causal inference, prediction, 
and forecasting. They also inspire new approaches to modeling dynamic 
optimization and strategic behavior.

Conversely, economics contributes foundational ideas that shape how AI 
systems are designed, evaluated, and deployed. Indeed, some of the most 
significant concepts in contemporary AI originate from economic theory, 
which provides the basis for decision-making (statistical decision 
theory), strategic reasoning (game theory), incentive design (mechanism 
design), causal inference (trustworthy AI), welfare analysis (AI 
ethics), and behavioral modeling (human-centered AI).

A series of five tutorials delivered by leading experts in the field 
will address the synergies and mutual benefits between data 
science/artificial intelligence and economics. The summer school 
emphasizes the interdisciplinary nature of data science and is aimed 
primarily at Ph.D. students, postdoctoral researchers, and early-career 
researchers from both disciplines -- DS/AI and economics —- with an 
interest in interdisciplinary research and applications.

The EuADS Summer School is followed by a public event on Wednesday 
morning, 8 July, during which Julie Josse (National Institute for 
Research in Digital Science and Technology, Inria, France.) will deliver 
this year's Sabine Krolak-Schwerdt Lecture entitled 'Federated Causal 
Inference for Policy Evaluation: From Data to Informed Decisions' 
(https://www.euads.org/sks-lecture/).

The Summer School is planned as an in-person event and the symposium as 
an hybrid event. For more information including how to register see:

https://www.euads.org/summer-school-2026

This year, the EuADS Summer School is co-located with the EcoMod2026 
International Conference on Economic Modeling and Data Science
(https://ecomod.net/node/11942). Participants in the summer 
school can attend the first day of the conference (8 July) free of 
charge.

For participants there are a limited number of affordable rooms 
available at the Maison d’Accueil, please have a look at our website. 
There are several hotels within walking distance. However, please note 
it is very urgent to make your reservation now because the Councils of 
ministers of the EU are all held in Luxembourg during the month of June 
and therefore prices will rise in the coming months. It is also worth 
nothing that in Luxembourg all public transport is free of charge. We 
look forward to seeing you in Luxembourg in July.
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