Monterey Data Workshop 2022

Convergence of HPC & AI

April 20-21, 2022 | Virtual

The DOE Monterey Data Workshop 2022 is a virtual 2-day meeting to share the latest research in scientific artificial intelligence (AI) and Machine Learning (ML) in preparation for the Fall 2022 Monterey Data Conference. The Monterey Data Workshop brings together researchers from DOE national laboratories, facilities, universities, and industry to share research in scientific artificial intelligence (AI) and Machine Learning (ML).  The two primary goals of this meeting are to:

  • Share best practices and cutting-edge research on scientific machine learning and broaden participation in the field

  • Identify key challenges and technologies in scientific machine learning that will shape invited speakers and discussion at the Fall Monterey Data Conference, an invite-only event attended by lab leaders, leading academic and industry partners.

The workshop is designed to promote discussion and feedback. We plan to have a combination of technical talks, panel/breakout sessions, and time for informal interactions with colleagues. The meeting will be held virtually and may provide an on-site venue at Berkeley Labs if possible.

Agenda

MDC

The best early career talks will be invited to present at the Fall Monterey Data Conference (MDC) Aug 29 - Sep 1, 2022 in Monterey, CA.

The Monterey Data Conference is an annual invitation-only meeting in Monterey which brings together researchers from DOE national laboratories, facilities, universities, and industry to showcase and discuss the latest advances and open challenges in scientific data analysis and computing.  The next MDC is scheduled for Fall Aug 29 - Sep 1, 2022.  

Logistics

Registration

Registration is required to attend this event. Registration closes April 15, 2022. Register HERE

Meeting Location

The meeting will be held virtually. Zoom information will be provided to only registered participants.

organizing/steering Committee:

This workshop is organized by a committee led by Lawrence Berkeley National Laboratory. Questions can be directed to hnam@lbl.gov.

  • Hai Ah Nam

  • Wahid Bhimji

  • Steven Farrell

  • Becci Totzke

  • Sudip Dosanjh

  • Mariam Kiran

  • Chin Guok

  • Samuel Williams

  • Petrus Zwart

  • Talita Perciano Costa Leite

Call

  • The meeting organizers are seeking speakers to give short (nominally 20 minutes) talks on progress, ideas, and/or challenges on AI/ML. We encourage talks from early career scientists and are prioritizing talks in the following topical areas:

    • Scalable and productive computing systems for AI

    • Interpretable, robust, science-informed AI methods

    • Novel scientific AI applications at large scale

    • AI for self-driving scientific facilities

    We are also soliciting ideas for breakout sessions and volunteers to lead these sessions related to the above topics.

    Potential speakers or session topic leaders are asked to submit a title and short abstract of their proposed session by January 31, 2022. The committee will review submissions and provide speakers and session leaders with a response by mid-February 2022.

    All submissions should be sent to the steering committee through the Submission Form.

    IMPORTANT DATES:

    Submissions Due: January 31, 2022 Deadline Extension - February 15, 2022 (11:59 p.m PDT)

    Notifications: February 11, 2022 March 4, 2022

    Meeting: April 20-21, 2022