FAIR for AI Workshop

6 Jun 2022, 02:30 → 7 Jun 2022, 19:20 US/Central

Argonne National Laboratory

Welcome to the FAIR for AI Workshop 2022 Workshop page! 

The primary focus of this project is to advance our understanding of the relationship between data and artificial intelligence (AI) models by exploring relationships among them through the development of FAIR (Findable, Accessible, Interoperable, and Reusable) frameworks. Using high-energy physics (HEP) as the science driver, this project will develop a FAIR framework to advance our understanding of AI, provide new insights to apply AI techniques, and provide an environment where novel approaches to AI can be explored.

There are two components to this workshop:

• June 6, 2022: FAIR4HEP Team Meeting (restricted to project members)
  • https://indico.cern.ch/event/1159915
• June 7, 2022: FAIR for AI Workshop (open)
  • https://indico.cern.ch/event/1152431

Tuesday, 7 June

1 Welcome

Speaker: Margaret Lentz (US Department of Energy)

2 PUNCH4NFDI

Speaker: Joeri Hermans (University of Liège)

3 FAIR on the European Open Science Cloud: the case of the Dark Matter Science Project in ESCAPE

Speakers: Caterina Doglioni (ESCAPE), Lukas Alexander Heinrich (ESCAPE)

FAIR4HEP_Talk.pdf

4 CERN/CMS Open Data

Speaker: Kati Lassila-Perini (CERN)

FAIR4HEP_CMS_OpenData_07June_2022.pdf

10:40 Break

5 Roundtable

Speakers: Daniel S. Katz (University of Illinois at Urbana-Champaign), Javier Mauricio Duarte (Univ. of California San Diego (US)), Kati Lassila-Perini (CERN), Kibaek Kim (Argonne (Bridge2AI)), Laura Biven (National Institutes of Health), Oliver Ruebel (Lawrence Berkeley National Laboratory)

roundtable_katz.pdf

roundtable_katz.pdf

roundtable_katz.pptx

6 Perspectives from NIH: FAIR Data and AI

Speaker: Laura Biven (National Institutes of Health)

12:25 Lunch

7 FAIR Simulation Surrogate Benchmarks and MLCommons

Speaker: Geoffrey Fox ( University of Virginia)

https://docs.google.com/presentation/d/1rkbV-CX7KYBhQ59PlTox66E5i8-numIehno71flBLy0/edit?usp=sharing

8 Advancing FAIR in the U.S. - Welcome to GO FAIR US

Speaker: Christine Kirkpatrick (San Diego Supercomputing Center)

https://docs.google.com/presentation/d/1AMJSeHkfvMyAXgiIV18UektGp3hsM0iTmZE8DlGD1Mg/edit?usp=sharing

9 ENDURABLE: Benchmark datasets for AI with queryable metadata

Speaker: Kristofer Bouchard (University of California at Berkeley and Lawerence Berkeley National Laboratory)

15:00 Break

10 HPC-FAIR: A Framework Managing Data and AI Models for Analyzing and Optimizing Scientific Applications

Speaker: Murali Emani (Argonne National Laboratory)

11 Roundtable

Speakers: Ben Blaiszik (University of Chicago), Christine Kirkpatrick (San Diego Supercomputing Center), Cristoph Kirst (Lawrence Berkeley National Laboratory), Eliu Huerta (Argonne National Laboratory), Geoffrey Fox ( University of Virginia), Grace Peng (National Institutes of Health), Ravi Madduri (Argonne National Laboratory)