Collective Judgment Formation-Collaborative Research Alliance
ID: W911NF-24-S-0010Type: Combined Synopsis/Solicitation
Overview

Buyer

DEPT OF DEFENSEDEPT OF THE ARMYW6QK ACC-APG DURHAMRESEARCH TRIANGLE PAR, NC, 27709-2211, USA

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

PSC

GENERAL SCIENCE AND TECHNOLOGY R&D SERVICES; GENERAL SCIENCE AND TECHNOLOGY; BASIC RESEARCH (AJ11)

Original Source

https://sam.gov/opp/fbc420b1936d46178539202318812139/view
Timeline
    Description

    The Department of Defense, specifically the U.S. Army Research Laboratory, is seeking proposals for the Collective Judgment Formation Collaborative Research Alliance (CJF CRA) aimed at enhancing decision-making capabilities in intelligence activities through research on human-agent interactions. The program focuses on advancing scientific understanding in three technical areas: social science theories related to human-agent systems, the development of computational models, and the testing and evaluation of these systems, all within a multidisciplinary framework. This initiative is crucial for addressing the complexities of processing large volumes of information and improving military decision-making in evolving environments. Interested parties must submit white papers by September 25, 2024, with final proposals due by December 6, 2024. For further inquiries, contact Dr. Edward T. Palazzolo or Dr. Robert St. Amant at cjf-cra-baa@army.mil.

    Point(s) of Contact
    Dr. Edward T. Palazzolo
    cjf-cra-baa@army.mil
    Dr. Robert St. Amant
    cjf-cra-baa@army.mil
    Files
    Title
    Posted
    CJF CRA BAA 2024-08-12 0800.pdf
    The Army Research Laboratory's Broad Agency Announcement (BAA) for the Collective Judgment Formation Collaborative Research Alliance (CJF CRA) seeks innovative proposals to enhance Army capabilities in information processing. The initiative focuses on advancing scientific understanding of human-agent interactions in artificial intelligence (AI) supported decision-making, particularly in intelligence operations. It consists of three technical areas: 1. **Social Science Theories for Human-Agent Systems (TA1)**: Exploring cognitive biases and human dynamics within teams supported by AI. 2. **Computational Models for Human-Agent Systems (TA2)**: Creating models that improve collective judgment formation, leveraging advancements like large language models. 3. **Testing, Evaluation, and Transitions (TA3)**: Developing a scalable testbed for experiments to validate findings from TA1 and TA2, including human subjects research management. Eligible applicants include educational institutions and various organizations, with a focus on collaborative research in a multi-disciplinary framework. White papers are due September 25, 2024, and selected proposals will receive funding to address specific research questions aimed at improving military decision-making capabilities while addressing biases and information challenges in evolving environments.
    CJF CRA BAA 2024-08-12 0800 amendment 01.pdf
    The U.S. Army Research Laboratory has issued the Collective Judgment Formation Collaborative Research Alliance (CJF CRA) Broad Agency Announcement (BAA) for Fiscal Year 2024, with a focus on enhancing decision-making capabilities in intelligence activities through research on human-agent interactions. This initiative aims to address the complexities of processing large volumes of information by fostering collaborations among diverse disciplines, including social sciences and computational modeling. Proposals are invited in three technical areas: TA1 focuses on social science theories related to human-agent systems; TA2 emphasizes the development of computational models; and TA3 involves testing and evaluation of these systems. Key dates include a white paper submission deadline of September 25, 2024, and final proposals due by December 6, 2024. Selected proposals will receive funding through cooperative agreements or contracts, with no profit or cost-sharing requirements. The results aim to improve military decision-making and contribute to academic and industry challenges, while also anticipating future advancements in the field. This BAA underscores the Army's commitment to integrating innovative research to optimize collective judgment in intelligence analysis.
    CJF CRA QA 2024-09-12 1800 v2.pdf
    The U.S. Army Research Laboratory has released a Broad Agency Announcement (BAA) for the Collective Judgment Formation Collaborative Research Alliance (CJF CRA) for Fiscal Year 2024. The document includes a series of FAQs addressing key aspects of the proposal process. Teams can consist of a maximum of six principal investigators from the same or different institutions, with preferences for interdisciplinary collaboration depending on the task area. Proposals must only involve U.S. citizens, and the access to controlled unclassified information (CUI) is restricted to certain U.S. facilities. The BAA outlines distinct task areas (TAs) focused on multidisciplinary approaches in computing, social sciences, and related fields. Proposers are encouraged to establish collaborations while ensuring that their proposals remain independent and meet specific criteria. Additionally, research findings will emphasize practical applications in intelligence domains, with flexibility regarding the types of institutions collaborating. Each proposal must adhere to detailed submission guidelines and evaluation criteria, focusing on the generation of empirical knowledge while maintaining compliance with defense regulations. The overarching goal is to foster innovation and research in collaborative judgment formation methodologies aligned with Army needs.
    CJF Proposers Day 2024-09-04 1100.pdf
    The U.S. Army Combat Capabilities Development Command is soliciting proposals for the Collective Judgment Formation (CJF) program, aimed at enhancing scientific understanding of human-agent interactions to improve decision-making in intelligence activities. The program consists of three technical areas (TAs): TA1 focuses on Social Science Theories, TA2 on Computational Models, and TA3 on Testing, Evaluation, and Transitions. Proposals are due on specified dates in late September (white papers) and November (full proposals), with notifications of awards expected in December 2024. The CJF program recognizes the increasing complexity of decision-making due to generative AI technologies and seeks to bring together multidisciplinary teams to address challenges in human-agent systems. Each TA has specific objectives, including modeling collective judgment formation and applying advanced computational techniques to improve information processing. Teams are expected to include both social scientists and computer scientists, and each TA will be supported by cooperative agreements or contracts. The document outlines a structured process for proposal submissions, emphasizing collaboration across disciplines, rigorous evaluation, and clear guidelines for teamwork in developing and testing human-agent systems.
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    Collective Judgment Formation-Collaborative Research Alliance
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