MaRDA2024 Virtual Annual Meeting – Foundations to Futures: Materials Data and AI!

February 20-22, 1:00-5:00 EST. Registration still open! More information: click here.


Nominations and Membership Voting for the 2024 MaRDA Council Elections is now Closed
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2024 MaRDA Annual Meeting Feb 20-22

The 2024 Annual Meeting provides a deep dive into materials data and data infrastructure preparedness for the rapid acceleration in both AI use and AI capabilities. Join us for presentations and discussions about community collaboration and working groups to advance MGI priorities. Learn and provide feedback about the OSTP Nelson Memorandum on Equitable Access, the CHIPS Act, and interagency efforts to support FAIR data and infrastructure to drive materials innovation.

All posted times are in Eastern Standard Time (EST)

The meeting included ~3.5 hours of short presentations, panel discussions, and workshops each day. Participants are welcome to attend any or all days. Registration and membership in MaRDA is free and open to all materials data stakeholders interested in the mission of MaRDA.

Registration Link (all participants should be a MaRDA member prior to event registration)

You can review the upcoming Materials Data Platforms and Repositories here. 

Registration deadline for Poster session and Materials Data Platform and Repositories session is February 13th.

2024 MaRDA Virtual Annual Meeting Agenda February 20 – 22

Meeting Chairs: Dr. Debra Audus (NIST), Dr. Corey  Oses (Johns Hopkins), Dr. Fatih Sen (Novelis)

Foundations to Futures: Materials Data and AI

Tuesday, February 20, 2024

1:00 | Welcome and Introduction to MaRDA2024 Debra Audus (NIST), David Elbert (JHU), Corey Oses (JHU), Fatih Sen (Novelis) 

1:10 | Session 1:  Enabling the Future through Open Materials Data and AI Chairs: Debra Audus (NIST), David Elbert (JHU)

1:30 | Panel Discussion 1: Benjamin Brown (DOE), Arthi Jayaraman (UDel), Alejandro Strachan (Purdue), James Warren (NIST)

2:20 | Poster Session 1GatherTown

3:10 | Session 2: Intersection of Large Language Models and Materials Data Chairs:  Ben Blaiszik (Chicago), Jiale Shi (MIT)

3:15 | Panel Presentations:  Daniil Boiko (CMU), Defne Circi (Duke), Christopher Kuenneth (University of Bayreuth), Vineeth Venugopal (MIT)

3:45 | Open Discussion

4:30 | Summary Discussion 

4:45 | Adjourn

Wednesday, February 21, 2024

1:00 | Welcome

1:05 | Session 3:  AI ready Data Chairs: Kamal Choudhary (NIST), Fatih Sen (Novelis) 

1:10 | Panel Presentations:Maria Chan (Argonne), Anubhav Jain (LBNL), Tengfei Luo (Notre Dame), Muhammed Shuaibi (Meta AI)

1:40 | Panel Discussion 

2:20 | Poster Session 2: Gathertown

3:10 | Working Groups Reports: 

3:10 Chair: Laura Bartolo (Northwestern)

3:15 Metadata extractors: Matthew Evans (UCLouvain & Matgenix SRL), Peter Kraus (TUBerlin), David Elbert (JHU)

3:23 LIMS: Eric Stach (Penn), Josh Taillon (NIST)

3:31 Microscopy: Ed Barnard (LBNL), Maria Chan (Argonne), Mitra Taheri (JHU)

3:39 Phase field metadata: Daniel Wheeler (NIST)

3:47 FAIR Train: Olga Wodo (Buffalo), Brian Schuster (UTEP)

4:05 | Research Data Alliance US (RDA-US) Beth Plale (Indiana)

4:20 | Working Group Planning: Cate Brinson (Duke), David Elbert (Johns Hopkins)

4:45 | Summary

5:00 | Adjourn

Thursday, February 22, 2024

1:00 | Welcome 

1:05 | Session 4:  Industry and Translation Work Chairs: Corey Oses (JHU), Gen Yin (Georgetown)

1:10 | Panel Presentations: Christine Allen (University of Toronto), Muratahan Aykol (Google), David Hicks (LIFT), Kun Yue (NVIDIA) 

1:40 | Panel Discussion

2:20 | Materials Data Platforms and Repositories Session: Gathertown

3:10 Session 5: Education and Workforce Development Chairs: Corey Oses (JHU), Gen Yin (Georgetown)

3:15 | Panel Presentations: Michael Falk (JHU), Purna Gamage (Georgetown), James Hickman (Georgetown), Erik Sapper (Cal Poly, San Luis Obispo), Chris Stiles (APL), Houlong Zhuang (Arizona State University)   

3:45 | Panel Discussion 

4:25 | Summary

4:35 | Outstanding Poster Awards and Presentations: Kat Nykiel (Purdue) 

4:50 | Closing Comments 

5:00 | Adjourn

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