Opportunity Information: Apply for BAA 10 09
Apply for BAA 10 09
- The Office of Procurement Operations Grants Division in the science and technology and other research and development sector is offering a public funding opportunity titled "Adaptive Adversary Modeling for Terrorism Risk Analysis" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 97.108 Homeland Security, Research, Testing, Evaluation, and Demonstration of Technologies.
- This funding opportunity was created on Jan 21, 2010 and posted on Jan 8, 2010.
- Applicants must submit their applications by Jan 20, 2010 White Paper Website REGISTRATION due by 1/13/10 White Paper due by 1/20/10 Full Proposals due by 3/1/10. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $1,380,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 3 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
The government grant opportunity titled "Adaptive Adversary Modeling for Terrorism Risk Analysis" is a Department of Homeland Security (DHS) research and development funding announcement focused on improving terrorism risk analysis by better representing how intelligent, adaptive adversaries behave. The core idea behind the topic is to support scientific and technical work that can model how a terrorist or hostile actor might observe defensive measures, change tactics in response, and choose targets or strategies dynamically rather than acting as a static or predictable threat. The opportunity sits within DHS science and technology research priorities and is intended to strengthen analytic tools and methods used for homeland security planning, testing, evaluation, and demonstration of technologies.
This opportunity was issued under Funding Opportunity Number BAA 10 09, and it was offered as a discretionary program with multiple possible funding instruments listed, including cooperative agreements, grants, other procurement contracts, and standard procurement contracts. The listing indicates DHS anticipated making about three awards, with an estimated total funding amount of $1,380,000. The CFDA number associated with the program is 97.108, which corresponds to Homeland Security research, testing, evaluation, and demonstration of technologies. No cost sharing or matching funds were required, which typically means applicants were not obligated to contribute a specific percentage of project costs from non-federal sources as a condition of eligibility.
A key administrative requirement was mandatory preregistration through the DHS Broad Agency Announcement (BAA) portal. Participation required registration at https://baa.st.dhs.gov by selecting "10 09" from the list to initiate the registration process. The timeline reflected a staged submission process: registration for the white paper website was due by 1/13/2010, white papers were due by 1/20/2010, and full proposals were due by 3/1/2010. The announcement notes that there were updates posted on 1/13 and 1/19 of 2010, signaling that applicants needed to monitor the portal for revised instructions, clarifications, or changes to requirements. The posting date is listed as January 8, 2010, with an original closing date of January 20, 2010 for the white paper phase, and the opportunity was later archived on February 19, 2010.
Eligibility was described as unrestricted, meaning it was open to a wide range of applicant types, such as universities, nonprofits, for-profit organizations, and potentially state or local entities, subject to any additional eligibility clarifications contained in the full announcement text. Administration of the opportunity was handled by the DHS Office of Procurement Operations, Grants Division. For applicants who could not access the announcement electronically or who needed assistance, the point of contact listed was Janet Herman, a DHS Contract Specialist, with instructions to direct inquiries to the email address provided in the full posting.
Overall, this opportunity can be understood as DHS seeking a small set of competitively selected R&D efforts that advance analytical approaches to terrorism risk by incorporating realistic adversary decision-making and adaptation. The structure of required preregistration, an initial white paper submission, and then invited or subsequent full proposals suggests DHS intended to screen concepts early, focus full proposal efforts on the most promising ideas, and efficiently allocate limited research funding across a handful of awards.
Frequently Asked Questions (FAQs)
What is the title of this DHS funding opportunity?
The opportunity is titled "Adaptive Adversary Modeling for Terrorism Risk Analysis."
What is the main goal of the program?
The goal is to improve terrorism risk analysis by supporting research and development (R&D) that better represents how intelligent, adaptive adversaries behave. The emphasis is on modeling how a hostile actor might observe defensive measures, change tactics in response, and dynamically choose targets or strategies rather than acting as a fixed, predictable threat.
What kind of work is DHS trying to fund under this topic?
DHS is seeking scientific and technical work that advances analytical tools and methods used for homeland security planning and for the testing, evaluation, and demonstration of technologies. The work should strengthen terrorism risk analysis by incorporating realistic adversary decision-making and adaptation.
Which agency is offering this opportunity?
The opportunity is offered by the Department of Homeland Security (DHS), within its science and technology R&D priorities.
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number listed is BAA 10 09.
What does "BAA" mean in this context?
The opportunity was issued under the DHS Broad Agency Announcement (BAA) process, which is used to solicit R&D ideas and proposals aligned with DHS research needs.
What types of funding instruments might DHS use for awards?
The listing indicates multiple possible instruments, including cooperative agreements, grants, other procurement contracts, and standard procurement contracts.
How many awards did DHS anticipate making?
DHS anticipated making about three awards.
What was the estimated total funding amount?
The estimated total funding amount was $1,380,000.
What CFDA number is associated with this opportunity?
The CFDA number is 97.108, corresponding to Homeland Security research, testing, evaluation, and demonstration of technologies.
Was cost sharing or matching required?
No. The opportunity states that no cost sharing or matching funds were required, meaning applicants were not obligated to contribute a specific non-federal share as a condition of eligibility.
Who was eligible to apply?
Eligibility was described as unrestricted, indicating the competition was open to a broad range of applicant types (for example, universities, nonprofits, for-profits, and potentially state or local entities), subject to any additional eligibility details contained in the full announcement.
Was preregistration required before submitting?
Yes. A key administrative requirement was mandatory preregistration through the DHS BAA portal.
Where did applicants have to preregister?
Applicants needed to register at https://baa.st.dhs.gov and select "10 09" from the list to initiate the registration process.
Did this opportunity use a staged submission process?
Yes. The timeline reflects a staged process that included preregistration, a white paper step, and then a full proposal step.
What were the key deadlines listed?
The listing provides these dates:
- Registration for the white paper website due: 1/13/2010
- White papers due: 1/20/2010
- Full proposals due: 3/1/2010
When was the opportunity posted?
The posting date is listed as January 8, 2010.
What was the original closing date shown for the white paper phase?
The original closing date is listed as January 20, 2010, which aligns with the white paper due date.
Were there any updates to the announcement that applicants needed to watch for?
Yes. The announcement notes updates posted on 1/13/2010 and 1/19/2010. Applicants were expected to monitor the DHS BAA portal for revised instructions, clarifications, or changes to requirements.
Is this opportunity still open?
No. The opportunity was later archived on February 19, 2010.
Who administered the opportunity?
Administration was handled by the DHS Office of Procurement Operations, Grants Division.
Who was the listed point of contact for help or access issues?
The point of contact listed was Janet Herman, a DHS Contract Specialist. The notice instructed applicants to direct inquiries to the email address provided in the full posting.
What should applicants do if they could not access the announcement electronically?
The listing indicates applicants who could not access the announcement electronically, or who needed assistance, should contact the listed point of contact (Janet Herman) using the email address in the full posting.
Why does the process include a white paper before a full proposal?
The described structure (preregistration, white paper, then full proposal) suggests DHS intended to screen concepts early, focus full proposal efforts on the most promising ideas, and allocate limited R&D funding efficiently across a small number of awards.
What is the core concept behind "adaptive adversary modeling" in this announcement?
The core concept is to model adversaries as adaptive decision-makers who can observe defenses and adjust their behavior, tactics, targets, or strategies dynamically, rather than assuming threats remain static over time.
How does this topic relate to homeland security planning and technology evaluation?
The opportunity is positioned to strengthen the analytic tools and methods used by DHS for homeland security planning and for testing, evaluation, and demonstration of technologies by incorporating more realistic adversary behavior into terrorism risk analysis.
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