Defense Advanced Research Projects AgencyWork With UsOpportunities


Established in 1958 as part of the U.S. Department of Defense, DARPA pursues opportunities for transformational change rather than incremental advances. It does so collaboratively as part of a robust innovation ecosystem that includes academic, corporate, and governmental partners. To fulfill its mission, the Agency relies on diverse performers from throughout this ecosystem to apply multi-disciplinary approaches to both advance knowledge through basic research and create innovative technologies that address current and predicted practical problems through applied research. The list of selected opportunities displayed below is provided for convenience. For a complete listing of DARPA opportunities please visit the FedBizOpps website. More

In addition to program-specific opportunities, each DARPA technical office maintains an “office-wide” Broad Agency Announcement (BAA) that covers a range of technical areas of interest to each particular office. The office-wide BAAs are refreshed on an annual basis and offer a mechanism for researchers to reach DARPA with ideas that they feel could be valuable to national security.

Advanced Full Range Engine (AFRE)
The AFRE program will be a two-phased effort to conduct component-level and full scale ground-based testing of a reusable propulsion system that will enable future long range hypersonic air vehicle applications.
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Young Faculty Award (YFA) Proposers Day
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Research Announcement (RA) for the Young Faculty Award (YFA) program.
Delta Request for Information (RFI)
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is requesting information on new ideas, approaches and tools for leveraging multiple sources of individual differences and variability in order to better understand and design for the complex, changing, and dynamic interactions among individuals and their social groups, including teams and organizations. Success could lead to quantifiable improvements in the capabilities of groups through training, interfaces, interventions, workflows, teams, or task assignments that take advantage of (rather than try to minimize) individual differences.
Forensic Social Science Supercolliders (FS3) Request for Information (RFI)
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is requesting information on new ideas, approaches, and capabilities for developing interactive simulations that can be used to calibrate the validity of different social science research methods and tools in drawing “strong inference” about causal mechanisms that can lead to emergent complex behaviors in human social systems.
Hierarchical Identify Verify Exploit (HIVE)
he DARPA Microsystems Technology Office HIVE program is soliciting research proposals for the development of a generic and scalable graph processor specializing in processing sparse graph primitives. The program includes the development of chip prototypes, development of software tools to support programming of the new hardware, and design of a system architecture to support efficient multi-node scaling.
Stochastic Augmented Graph Analytics (SAGA) Request for Information (RFI)
The Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office (MTO) is seeking information on novel hardware and software approaches for calculating continuous time varying probabilities functions. Specifically, we are seeking information on novel hardware architectures, software algorithms, and programming tools necessary to process data natively as random variables.
Extreme Optics and Imaging (EXTREME)
The Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in the area of optical systems capable of extreme performance and/or capabilities, which utilize Engineered optical Materials (EnMats). Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, and/or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.
Explainable Artificial Intelligence (XAI)
The goal of Explainable AI (XAI) is to create a suite of new or modified machine learning techniques that produce explainable models that, when combined with effective explanation techniques, enable end users to understand, appropriately trust, and effectively manage the emerging generation of AI systems.