[hpc-announce] Data Readiness for AI (DRAI) Workshop @ ICPP - Call for Participation

[Jean Luca Bez]

Call for Participation
Data Readiness for AI Workshop (DRAI 2025)
(in conjunction with ICPP 2025)

September 8 – San Diego, CA, USA

Data fuels Artificial Intelligence (AI) applications. Hence,
collecting and managing the lifecycle of high-quality data that has
been evaluated to be ready for AI is critical to creating new large AI
models that assist in enabling scientific breakthroughs across
domains. However, there are several challenges in achieving AI
readiness for research data. This workshop aims to enable discussions
on novel and efficient methods for collecting and preparing data for
AI across multiple scientific domains, metrics to quantify data
readiness, frameworks for improving data readiness, assessments of the
impact of data on AI model performance, and existing challenges and
caveats in managing and transforming historical and new data from
various science domains into AI-ready data. The workshop seeks to
bring together researchers from academia, industry, and national
laboratories to share insights, foster collaboration, and push the
existing boundaries between data and AI in scientific discoveries.

Schedule
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DRAI schedule is available at
https://urldefense.us/v3/__https://sites.google.com/lbl.gov/drai/schedule__;!!G_uCfscf7eWS!btXy7khsqk5w0QyuR2pKIQaXV4ICu9INdX3f_Cw_7zcMlqTRmMIb7ZLobq9MTbDl2vXz810N6p_n3FEMIzWPug$ . This inaugural edition
of the workshop will feature the keynote “El Dorado or Troy:
Demystifying FAIR and AI Ready Data” by Christine Kirkpatrick (San
Diego Supercomputer Center), along with two invited speeches and two
research paper presentations.

We look forward to your participation during ICPP in San Diego!

Organizers
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Jean Luca Bez, Lawrence Berkeley National Laboratory (LBNL), USA
Suren Byna, The Ohio State University (OSU), USA
For inquiries, contact: jlbez at lbl.gov, byna.1 at osu.edu