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AI for Meta Science

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AI for Meta Science

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Institut Pascal - Université Paris Saclay

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The AI for Meta-Science Workshop brings together researchers to explore how artificial intelligence can transform scientific research, from the operation of large-scale facilities to experiment design and scientific discovery. Organised at Institut Pascal, Université Paris-Saclay, the workshop will encourage interdisciplinary discussions on the future of AI in science.
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Artificial Intelligence (AI) has gained significant attention for its applications in science. This workshop will focus on its potential use beyond primary scientific data analysis pipelines, hence the "meta" in AI for meta-science. Important disclaimer : AI4MetaScience workshop at NeurIPS in Paris is an unrelated initiative, they are focusing more on the evaluation of science.

This workshop is mainly funded by AISSAI, CNRS's interdisciplinary centre for AI, and is hosted by Institut Pascal, Université Paris-Saclay.

The workshop is structured to favour discussions. Each theme will be covered in half a day or less, featuring 45-minute keynote talks and a series of short contributed talks, with ample time for discussion, which is well-suited to Institut Pascal. Each participant will have a desk in shared offices with access to meeting rooms (and, of course, free coffee machines) and will be provided with lunches (except on Monday), a workshop dinner on Thursday.

Two hackathons will be run in parallel for two half-days (Tuesday morning and Thursday morning), Mad Scientist, and From Literature to Benchmark (see below). Participants will apply to either by Monday night.

Attendance is limited, by invitation or upon application (menu on the left), but may close anytime due to limited capacity; applications will be evaluated with the goal of ensuring a diverse group of participants. Young researchers including PhD students are especially encouraged to apply.

 

Confirmed speakers :

  • Mateusz Bawaj (U Perugia) AI control of Gravitation Wave interferometer
  • David Chamont (CNRS) Labobots school
  • Adnan Ghribi (GANIL) Summary of accelerator data hackathon
  • Damien Gratadour (CNRS) AI control of telescopes
  • Verena Kain (CERN) AI control of accelerators
  • Francois Lanusse (CEA) LightCone : agentic AI assisted science
  • Julien Bettane (CNRS), Pierre Manil (CEA) AI and mechanical design
  • Claire Nedellec (INRAE) AI for knowledge extraction for life science
  • Leo Nguyen (IDRIS) AI for super computing
  • Hasan Ozturk (CERN) AI for distributed computing
  • Alex Sopio (U Edinburgh) chAtlas a chatbot for ATLAS scientific collaboration
  • Pietro Vischia (U Oviedo) AI assisted experiment co design

 

Mad Scientist hackathon is organised by Savannah Thais (Hunter, NY) and Nathan Suri (Yale)

From Literature to benchmark hackathon is organised by Joao Goncalves  Justus Mairböck and Romina Raoofian (U Bonn)

 

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