Collective Judgment Formation-Collaborative Research Alliance
ID: 356024Type: Posted
Overview

Buyer

Dept of the Army -- Materiel Command (DOD-AMC)

Award Range

$0 - $6M

Eligible Applicants

Others

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Procurement Contract

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/356024

Additional Information

https://arl.devcom.army.mil/cras/cjf-cra
Timeline
    Description

    The Department of the Army's Materiel Command is inviting proposals for the Collective Judgment Formation-Collaborative Research Alliance (CJF CRA), aimed at enhancing decision-making capabilities in intelligence operations through foundational research on human-agent interactions supported by artificial intelligence. This initiative seeks to advance understanding in three technical areas: social science theories for human-agent systems, computational models for improving team performance, and testing and evaluation of human-agent interactions. With an estimated total program funding of $19.2 million and an award ceiling of $6.4 million, the program anticipates awarding three contracts. Interested applicants, including institutions of higher education, nonprofit organizations, and for-profit entities, must submit white papers by September 25, 2024, and final proposals by November 21, 2024. For further details, contact Matthew R. Lynch at cjf-cra-baa@army.mil or visit the CJF CRA website at https://arl.devcom.army.mil/cras/cjf-cra.

    Point(s) of Contact
    cjf-cra-baa@army.mil
    Files
    Title
    Posted
    CJF
    CJF.pdf
    The U.S. Army Research Laboratory (ARL) has issued a Broad Agency Announcement (BAA) for the Collective Judgment Formation Collaborative Research Alliance (CJF CRA) for Fiscal Year 2024, with the goal of enhancing the Army's decision-making capabilities in intelligence operations through foundational research. This initiative seeks to advance understanding of human-agent interactions aided by artificial intelligence in intelligence analysis, addressing challenges posed by the increasing volume and complexity of information processed by analysts. The program is structured around three technical areas (TAs): 1. **Social Science Theories for Human-Agent Systems (TA1)** focuses on cognitive biases and collective judgment formation within human-agent teams. 2. **Computational Models for Human-Agent Systems (TA2)** aims to develop formal models that improve team performance and judgment accuracy using advanced AI technologies, including large language models. 3. **Testing, Evaluation, and Transitions (TA3)** will create a scalable testbed to evaluate human-agent interactions through experiments. White papers are due by September 25, 2024, and final proposals must be submitted by November 21, 2024. The initiative emphasizes collaboration among government, academia, and industry to foster innovation in military applications and beyond, promoting an ecosystem of shared knowledge and research advancements.
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