Events

SciDataCon and RDA's 21st Plenary take place during International Data Week in Salzburg, Austria and virtually. Details on how to register are available here.

• SciDataCon, 23 – 26 October 2023 in Salzburg and virtually.
  Session Title: AI / ML and Repository - can we believe the hype and are we ready? October 23 at 09:30-11:00 UTC.  Organizers: Giri Prakash, Mike Frame, Pedro Corrêa, Christine Kirkpatrick

• RDA P21, 23 - 26 October 2023 in Salzburg and virtually.
  FAIR for Machine Learning (FAIR4ML) IG, Building towards FAIR for Machine Learning

SC 23 BOF, Tuesday, Nov 14, 2023 at 5:15-6:45 pm in Denver, CO
Machine Learning from the Data’s Perspective: Data-centric AI for Scientific Computing. Organizers: Christine Kirkpatrick, Geoffrey Fox, Vijay Janapa Reddi

August 22, 2023. Strategies for Machine Learning Reproducibility - Webinar

June 27, 2023. Building Upon the EarthCube Community - A Geoscience and Cyberinfrastructure Workshop. Marina Del Rey (Los Angeles). Title: Working towards AI-ready Geoscience Data Repositories.

April 20, 2023.  “Accelerating and Deepening Approaches to FAIR Data Sharing: A Workshop” sponsored by the National Academies Board on Research Data and Information. Speakers included representatives from NLM, NASA, and NSF who spoke about “After the Nelson Memo: New Priorities and Opportunities for Research Data.” 

March 22, 2023. Research Data Alliance (RDA) Plenary 20.  FARR’s co-hosted  RDA FAIR 4 ML IG session, Defining the roadmap towards FAIR for Machine Learning. The outcomes of this meeting include 1. agreement that there are several open challenges around ML that require community effort in addressing them (such as ethics and IP rights); 2. There is a keen interest in pursuing FAIR for ML, especially around particular implementations (such as metadata and PIDs); 3. A concrete action for the next period is to start the work around a white paper on FAIR for Machine Learning.

January 26, 2023. ESIP session hosted by Data Readiness Cluster, Machine Learning Cluster, and FARR RCN. FAIR for AI in Geoscience: from AI-Ready Data to Practical AI Models.

December 12, 2022. AGU.  Listening Session – Advancing FAIR, AI-readiness, and reproducibility for AI in Geoscience.