DEVCOM ANALYSIS CENTER BROAD AGENCY ANNOUNCEMENT FOR APPLIED RESEARCH

The purpose of this Broad Agency Announcement (BAA) under Federal Acquisition Regulation (FAR) Part 35 and Funding Opportunity Announcement (FOA) under 2 Code of Federal Regulations (CFR) 200.204 (henceforth referred to as “BAA”) is to solicit research proposals for submission to the U.S. Army Combat Capabilities Development Command (DEVCOM) Analysis Center (DAC) for funding consideration. The DAC is the Army's foundation for data-driven analytical decisions across the lifecycle to ensure overmatch for a lethal Army. DAC’s mission is to: Inform Army modernization and readiness decisions with objective Analysis enabled through Tool development and Data curation. DAC partners across the national security enterprise to deliver fundamentally advantageous change that is rooted in the creation and exploitation of scientific knowledge. DAC accomplishes this mission by funding the areas of applied research (budget activity 6.2), as defined by 32 CFR 22.105, advanced technology development (budget activity 6.3), and advanced component development and prototypes (budget activity 6.4). Whitepapers for initial concept reviews and full proposals are sought from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses) for scientific research that supports the DAC mission. The DAC BAA generally conforms to the portfolio structured around research area based mission execution. Whitepapers and full proposals are expected to be for cutting-edge innovative research that could produce discoveries with a significant impact to enable new and improved Army technologies and related operational capabilities and related technologies. In an effort to provide DAC's research topics and related information in an easy to digest format, DAC has published the following public website listing all current DAC research topics: https://www.army.mil/article/261533, hereafter referenced as the DAC BAA topics website. DAC focuses on executing in-house research programs but supplements our efforts with support from the broader technology base and Academia. DAC funds a modest amount of extramural research in certain specific areas, and those areas are described on the DAC BAA topics website. Changes to these topics will be made using this website on an...

Unless dictated by the award instrument type, eligible applicants under this BAA include institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses). For specific Other Transactions for Prototypes eligibility requirements, please see the “Other Transaction for Prototype or Production” section within the II.B. Federal Award Information section.

i. The overall scientific and/or technical merits of the proposal. ii. The potential contributions of the effort to the Army mission and the extent to which the research effort will contribute to balancing the overall Army research program. iii. The qualifications, capabilities, and experience of the proposed PI, team leader, or other key personnel who are critical to achievement of the proposed objectives.

Match: none required (federal program listing). This program has MOE requirements, see funding agency for further details. Not Applicable

Fiscal year 2018: INTERNET OF BATTLEFIELD THINGS - The overall objective is to develop the fundamental understanding of dynamically-composable, adaptive, goal-driven Internet of Battlefield Things (IoBTs) to enable predictive analytics for intelligent command and control and battlefield services. DCIST -Develop the underpinning science to extend the reach, situational awareness, and operational effectiveness of Intelligent System/Soldier teams against dynamic threats in complex and contested environments and provide technical and operational superiority through fast, intelligent, resilient and collaborative behaviors. Fiscal year 2021: Develop Protein Crystal Polymer Hybrids; Listening to the Bioelectronic Signature of Cells; Corrosion Investigation and Modeling; Decoding Multisensory Information at Different Spatiotemporal Scales of Neuronal Resolution; Social Intelligent Agents; and Experimental Strain-Based Tissue Damage Analysis to Model Impact and Blast-Induced Traumatic Brain Injury Scenarios. Fiscal year 2023: Example 1: Texas Tech University was awarded a grant W911NF2410035 for effort titled �Using fNIRS to Predict and Diagnose the Cause of Performance Decrements in...