Request for Information (RFI)- Machine Learning for Geothermal Energy and the Geosciences

The summary for the Request for Information (RFI)- Machine Learning for Geothermal Energy and the Geosciences grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Golden Field Office, which is the U.S. government agency offering this grant.
Request for Information (RFI)- Machine Learning for Geothermal Energy and the Geosciences: Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), invites input from the public regarding opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With the overall goals of establishing the practice of machine learning (ML) in the geothermal industry and maximizing the value of the rich datasets utilized in the geosciences, GTO is seeking input in three areas: Identifying the most promising applications of machine learning in subsurface R&D, building open community datasets capable of supporting the most advanced ML techniques, and leveraging crowd-sourced R&D through alternative funding mechanisms. As ML is already well- established in some industries, GTO is also very interested in feedback from outside of the geothermal community. The information requested is intended to advance GTO goals in geothermal development, though there are likely crosscutting applications with other industries operating in the subsurface. Opportunities for partnerships with other industries are also of interest. The purpose of this Request for Information (RFI) is to gather feedback from stakeholders prior to DOE potentially issuing a Funding Opportunity Announcement (FOA). This RFI is not a FOA: therefore, DOE is not accepting applications at this time. All responses to this RFI must be provided as an attachment (in Microsoft Word format) to an e-mail message addressed to [email protected]. Responses must be received no later than 5:00 PM EDT on June 6, 2018. The full content of the announcement can be found on the EERE Exchange website at https://eere-exchange.energy.gov.
Federal Grant Title: Request for Information (RFI)- Machine Learning for Geothermal Energy and the Geosciences
Federal Agency Name: Golden Field Office (DOE-GFO)
Grant Categories: Energy
Type of Opportunity: Discretionary
Funding Opportunity Number: DE-FOA-0001920
Type of Funding: Other
CFDA Numbers: 81.087
CFDA Descriptions: Information not provided
Current Application Deadline: June 6th, 2018
Original Application Deadline: June 6th, 2018
Posted Date: May 7th, 2018
Creation Date: May 7th, 2018
Archive Date: August 7th, 2018
Total Program Funding: $1
Maximum Federal Grant Award: $2
Minimum Federal Grant Award: $1
Expected Number of Awards: 1
Cost Sharing or Matching: No
Last Updated: May 7th, 2018
Applicants Eligible for this Grant
Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
Link to Full Grant Announcement
https://eere-exchange.energy.gov
Grant Announcement Contact
Michael J. Weathers
[email protected]

[email protected]
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