DoW Prostate Cancer, Data Science Award
🏛 Defense Health Agency Contracting Activity - DHACA (DOD-AMRAA)
✓ Free, no account · Source: Grants.gov · Last verified Jul 27, 2026
Can you apply?
This grant is for academic and research institutions that conduct prostate cancer research using data science approaches. Eligible organizations typically include universities, hospitals, research institutes, and government agencies with active research programs. The work must focus on developing or applying quantitative methods to prostate cancer data in areas like machine learning, bioinformatics, or medical imaging. All research must address one of the FY26 PCRP Overarching Challenges and can involve multiple Principal Investigators per project.
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Key dates
- May 21, 2026 Applications open
- Sep 2, 2026 Application deadline in 36 days
- Sep 30, 2027 Award announced
- Sep 30, 2027 Project start
Program description
Summary: The fiscal year 2026 (FY26) Prostate Cancer Research Program (PCRP) Data Science Award (DSA) supports research that develops or uses quantitative and analytical approaches, processes and/or systems to obtain knowledge and insight from large and/or complex sets of prostate cancer data in one or more of the following research areas: Analysis of clinically annotated datasets; analysis of -omics data; artificial intelligence and machine learning; bioinformatics; computational biology; digital pathology; epidemiology; and medical imaging. All applications must address one of the FY26 PCRP Overarching Challenges.
Distinctive Features: This funding mechanism allows for multiple Principal Investigators (PIs). Only the initiating PI will submit a pre-application, but all PIs will need to submit full applications. The partnering PI application is an abbreviated package specific to their distinct portion of the research project. Be advised, all associated applications for a research project may be withdrawn if the initiating or partnering application is rejected or administratively withdrawn.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- Pre-application (initiating PI only)
- Project Narrative
- Detailed Budget and Budget Justification
- Biographical sketches for all PIs
- Institutional Commitment letters
- Letters of Support (if applicable)
Program contact
- 👤 Teresa M Parker-Reeser Grants Officer
- 📧 help@eBRAP.org
- 📞 3016192171
Funding track record
Recent awards under CFDA 12.420 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$2,265,729,366
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$800,631,761
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$74,531,880
-
$67,205,571
-
$55,443,120
-
$34,191,124
-
$24,783,894
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$21,394,379
-
$19,100,256
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$19,002,641
Top States by Funding
- MD 10 awards $3,150.1M
- NC 11 awards $132.3M
- CA 12 awards $107.3M
- FL 8 awards $99.8M
- MA 8 awards $83.2M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 12.420). How funding has trended year over year.
| 2024 | $1,483,968,520 | |
| 2025 | $1,201,153,417 |
FAQ
Who can submit applications for this award?
Universities, hospitals, research institutes, and government agencies with prostate cancer research programs. Multiple PIs are allowed, but only the initiating PI submits a pre-application first.
What types of research does this award support?
Data science approaches including machine learning, bioinformatics, computational biology, digital pathology, epidemiology, and medical imaging applied to prostate cancer data.
Is there a deadline, and what is the funding pool?
The deadline is September 15, 2026. The total funding pool is $5.6 million across all awards.
What happens if one PI's application is rejected?
All applications associated with the project may be withdrawn if the initiating or partnering application is rejected or administratively withdrawn.
Is cost-sharing required?
No, this award does not require cost-sharing or matching funds.
💡 Tips for applicants
- Start with the initiating PI submitting a pre-application before the full applications go in; coordinate all PIs early.
- Clearly map your research to one of the FY26 PCRP Overarching Challenges; vague alignment will weaken competitiveness.
- Demonstrate strong data science methodology; emphasize the quantitative and analytical rigor of your approach.
- If using multiple PIs, clarify each person's distinct role and how their portions integrate into the complete project.
- Review past CDMRP awards in data science to understand what reviewer panels prioritize in this specific mechanism.
⚠️ Common mistakes
Failing to address one of the FY26 PCRP Overarching Challenges explicitly will result in desk rejection. Weak or generic data science methodology without clear innovation reduces competitiveness. Incomplete coordination between multiple PIs leads to submission delays or administrative withdrawals.
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