Collective Judgment Formation-Collaborative Research Alliance
Closed Posted
- Opportunity number
- W911NF24S0010
- Agency
-
Army Materiel Command
Department of the Army, Department of Defense
- Applications due
- Award size
- Up to $6,400,000
Opportunity facts
- Assistance listings
- Funding instrument
- Cooperative Agreement, Procurement Contract
- Category
-
- Science and Technology and other Research and Development
- Eligible applicants
-
- Other
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The Department of the Army Materiel Command is seeking proposals for the Collective Judgment Formation (CJF) Collaborative Research Alliance (CRA) program, which is focused on basic research to expand the scientific understanding of human-agent interactions in AI-supported team decision making, particularly in the context of intelligence activities. The program consists of three technical areas: TA1 on social science theories, TA2 on computational models, and TA3 on testing and evaluation. Proposals may address one technical area, and performers may submit multiple proposals across different areas. White papers are due by September 25, 2024, and full proposals are due by December 6, 2024.
The anticipated funding profile is up to $3.5 million per technical area over 3-4 years. Awards will be made as cooperative agreements for TA1 and TA2, and a contract for TA3. The program is funded under the CFDA 12.630 - Basic, Applied, and Advanced Research in Science and Engineering grant program, and work is expected to be performed at the recipient facilities and specified field locations.
Synopsis
3 versions
Update #3 · Latest ·
The Collective Judgment Formation (CJF) Collaborative Research Alliance (CRA) program is focused on basic research to create and expand theoretical and scientific understanding of human-agent interactions in AI-supported team decision making. The representative domain for the program is intelligence activities. Work within this program will require the problem space to be addressed from multiple disciplinary perspectives working in concert to discover novel knowledge and to advance our scientific foundations of (a) humans working with each other and with novel forms of software agents and (b) teams of intelligence analysts responding to novel methods that create verbose structured and unstructured content. Through this CRA, ARL seeks to partner with performers to advance the scientific state-of-the-art in human-agent systems for intelligence activities.
Update #2 ·
The purpose of this amendment is to provide notification of change in event dates for proposal submission. The following event dates and times are changed as follows: Deadline for Questions on Proposals From: 30 Oct 2024 To: 07 Nov 2024, 1500 EST Proposals Due From: 21 Nov 2024, 1500 EST To: 06 Dec 2024, 1500 EST Notification to Recipients From: 19 Dec 2024 (expected) To: 31 Jan 2025 (expected) Award Execution From: Feb 2025 (expected) To: March 2025 (expected) -
The Collective Judgment Formation (CJF) Collaborative Research Alliance (CRA) program is focused on basic research to create and expand theoretical and scientific understanding of human-agent interactions in AI-supported team decision making. The representative domain for the program is intelligence activities. Work within this program will require the problem space to be addressed from multiple disciplinary perspectives working in concert to discover novel knowledge and to advance our scientific foundations of (a) humans working with each other and with novel forms of software agents and (b) teams of intelligence analysts responding to novel methods that create verbose structured and unstructured content. Through this CRA, ARL seeks to partner with performers to advance the scientific state-of-the-art in human-agent systems for intelligence activities.
Update #1 ·
The Collective Judgment Formation (CJF) Collaborative Research Alliance (CRA) program is focused on basic research to create and expand theoretical and scientific understanding of human-agent interactions in AI-supported team decision making. The representative domain for the program is intelligence activities. Work within this program will require the problem space to be addressed from multiple disciplinary perspectives working in concert to discover novel knowledge and to advance our scientific foundations of (a) humans working with each other and with novel forms of software agents and (b) teams of intelligence analysts responding to novel methods that create verbose structured and unstructured content. Through this CRA, ARL seeks to partner with performers to advance the scientific state-of-the-art in human-agent systems for intelligence activities.
Files
| File | Type | Posted |
|---|---|---|
| ARO Form 99 5-year 2024-11-13.docx | DOCX document | |
| CJF Proposal QAs 2024-11-19 0833.pdf | ||
| CJF CRA BAA 2024-08-12 0800 amendment 01.pdf | ||
| CJF Proposers Day 2024-09-04 1100.pdf | ||
| CJF CRA QA 2024-09-12 1800 v2.pdf | ||
| CJF CRA BAA 2024-08-12 0800.pdf |
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