The programme will include 3–4 expert instructors, to be announced soon.
The summer school is designed for advanced graduate students and professionals with a strong interest in machine learning & AI for Economists.
It aims to attract:
• PhD students and advanced Master’s students from disciplines such as economics, political science, and other social sciences with a quantitative focus.
• Early-career researchers.
• Applied Economist.
This programme is ideal for PhD students, early-career researchers, and applied economists looking for being able to evaluate ML & AI methods with an economist’s eye for identification, casuality, interpretability, fairness, and robustness.
Participants requirements:
• Curiosity and a willigness to engage critically with new tools.
• Proficiency in English, as all lectures, materials, and discussions will be conducted in English.
• No prior experience with machine learning is required.
Important dates:
• Application deadline including student scholarship application: to be confirmed
• Application deadline: to be confirmed
Additional information:
• Applicants will receive the admission resolution by email within 3 weeks of their application.
• To secure a space in the programme, admitted participants will need to formalize the payment by the indicated deadline in the admission resolution email.