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.

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.

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.