This activity consists of a 4-day hybrid workshop & hackathon for BSc, MSc, and PhD students across EELISA partner universities, to co-design, prototype, and benchmark “green AI” solutions that explicitly aim to minimize CO₂ emissions, energy consumption, and compute cost in model training and inference. Participants will engage in high-intensity teamwork (two full hack days) guided by mentors.

PROGRAMME

Day 1 – Arrival and a first social interaction.

Day 2 (morning) – group formation and project framing: students are guided to form interdisciplinary teams and pick one of the proposed challenge ideas (or pitch new ones).

Day 2 (afternoon) & Day 3 – groups execute their prototypes: writing code, measuring metrics (energy use, runtime, memory, accuracy, CO₂ estimates), iterating optimizations, and preparing results. Mentors will hold scheduled check-in sessions (onsite/remote) for troubleshooting and guidance.

Day 4 – Project presentations and farewell.

Hybrid live presentations enable both in-person and remote attendees to view and engage via chat or Q&A. Please indicate when applying whether you plan to join in person or online.

WHERE

Budapest University of Technology and Economics

WHEN

22 to 25 March, 2026

APPLICATION DEADLINE

15 February, 2026