Closed · USAFA-BAA-2015-CALL-0008 · CFDA 12.800 · Discretionary
Research on the Use of Autonomy and Unmanned Vehicles in Support of USAF Operations
Federal grant opportunity posted by Air Force Academy, cataloged on Grants.gov.
- up to $420K
- Award range
- Closed
- Status
- August 30, 2019
- Close date
- 1
- Expected awards
The verdict
Research on the Use of Autonomy and Unmanned Vehicles in Support of USAF Operations is a closed discretionary listing from Air Force Academy that offered Up to $420,000 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 38 other opportunities from Air Force Academy.
- up to $420K
- award range
- Closed
- application status
- 1
- expected award
- 12.800
- CFDA program
Archived opportunity record
Research on the Use of Autonomy and Unmanned… is closed (last close August 30, 2019). Check the agency catalog for replacement NOFOs. Air Force Academy still indexes 38 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed August 30, 2019
Expected Awards
1
Instrument
Procurement Contract
Description
The Academy Center for Cyberspace Research (ACCR) conducts research in a wide range of areas within the fields of Computer and Cyber Science in support of the AF, DoD and other government and commercial sponsors. All cadets in the Computer Science and Cyber Science majors receive research experience through independent studies, course projects and summer research opportunities. ACCR has four primary research focus areas: system security analysis, immersive environments (augmented and virtual reality), artificial intelligence and autonomy, and big-data analytics. In addition to these four primary focus areas, ACCR can conduct research in any topics related to the field of Computer and Cyber Science provided there is sufficient faculty and cadet interest. State of the art facilities are available to students and researchers providing capabilities for network and platform vulnerability analysis; industrial control system/supervisory control and data acquisition security analysis and development; provably secure software development; network security stack analysis; virtual and augmented reality applications; high-performance computing; robotics and unmanned systems design, analysis, and operation; unmanned aerial swarms and multi-vehicle cooperation. ACCR is especially interested in research that incorporates proposed student projects to further its leadership in the areas of Artificial Intelligence (AI) and Autonomous Systems (AS) education. In support of the departments continued Artificial Intelligence (AI) and Autonomous Systems (AS) research, an emphasis has been placed on retooling and expanding our curriculum by conducting technical and pedagogical research on new AI/AS methodologies. This CALL is focused on fundamental research that can lead to the development of new novel pedagogical approaches to AI/AS education. Research areas should fall within autonomy and AI to include algorithms and techniques for such, as well as researching educational best practices, techniques and pedagogical approaches. USAFA is interested in data that could potentially lead to the external development of lesson plans, exercises, and classroom activities that embody those techniques/approaches, which could be used as the basis for new AI/AS curricula at USAFA and for public educational institutions. Research should be conducted utilizing hands-on mentoring with cadets in support of senior capstone projects addressing AI/AS system concepts and rapid deployment of newly developed concepts in an effort to answer critical research questions in real time. The results and methodologies discovered, to include the focused research conducted in capstone projects, will form the basis of scholarly work presented at conferences or in journal articles. In addition to briefings and presentations it is expected the effort will culminate in a final report, submitted to USAFA DFCS, which will cover research elements derived entirety from the AI/AS studies. Projects must be new research efforts. Proposals for the continuation of existing research projects funded under a previous grant or cooperative agreement awards are not desired.
Catch-all / unrestricted eligibility mark · USAFA-BAA-2015-CALL-0008
Grants.gov marks Research on the Use of Autonomy and Unmanned… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Procurement Contract. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Air Force Academy book (35 peers, 90% of 39).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
Christian Cornell Grantor Phone 7193338269
More from Air Force Academy
What to do next
Research on the Use of Autonomy and Unmanned… is closed; use the parent program and agency catalog for the next funding cycle.
- Browse open federal opportunities in the same category when this listing is closed. Open opportunities
- Look up CFDA 12.800 across all indexed listings before you commit to this opportunity alone. Eligibility finder
- Compare award ranges across federal categories before you pick a single CFDA. All categories
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |