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FARR mini research opportunities for  advancing AI-readiness in earth sciences

The FARR (FAIR in ML, AI-readiness and Reproducibility) Research Coordination Network is supporting efforts to increase AI-readiness in earth sciences communities ( As one aspect of its activities, FARR is inviting proposals for focused, limited-term efforts to advance some aspect of AI-readiness in an earth sciences domain. Examples include, but are not limited to:

  • Developing a training dataset for future machine learning work,

  • Improving the quality and documentation of an existing dataset,

  • Developing training materials, or offering training on specific AI/ML skills,

  • Organizing a community hackathon event,

  • Creating recommended practices or other guidance documents,

  • Working within a community to increase use of FAIR principles to advance AI-readiness, including developing/refining domain-specific aspects of the FAIR principles.

Proposals should be for 1 year or less and must clearly describe expected outcomes (e.g., written document, conference presentation, community event, etc.) and how success will be measured that will be produced within one year. Extension to a second year possible after initial progress is demonstrated.

Successful applicants will receive support from FARR in the form of a $2,500 honorarium directly to the lead (not through an institutional subcontract). Projects co-led by an established scientist and a student or early career scientist (within 10 years of final degree) can receive two $2,500 honoraria. FARR project team will also support selected proposals to request cloud computing credits or other computing resources to support technical development as needed. For selected projects, a limited amount of travel support will be made available for a small in-person meeting held in conjunction with the
FARR Workshop (scheduled for October 9-10, 2024 in Washington DC).

To apply, please submit this
application form, including a description of the task with specific deliverables/outcomes and their schedule, the expected impact on AI-readiness of a community, and the skills/expertise you bring to the work. (500 words maximum); and whether you are potentially interested in travel support for an in-person meeting and/or compute resources.

Applicant Requirements:

  • Must be over 18 years of age.

  • If you are not a U.S. citizen, then you must have a U.S. Taxpayer Identification Number (ITN) and have the appropriate visa type (J-1, H-1B, F-1OPT).

  • Confirm your eligibility for honorarium payments with your home institution. There are a few restrictions, for example, NSF employees are ineligible and University of California awardees must be faculty members.

Applications will be considered on a rolling basis until funds are committed, with the next round of review beginning April 30, 2024.  Approximately 10 awards are expected in the current year. Please contact with any questions.

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