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SBIR/STTR FY25 Topic Opportunities

 

Each year, we publish multiple topic opportunities under the federal Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs.

All SBIR/STTR topics fall under the current Department of Defense (DOD) Broad Agency Announcement (BAA) for that program.

SBIR | 2025.4 Announcement Topics

Open 

  • Turbo Facility Clearance (TurboFCL)
    Description: Develop a prototype software application, based on language models, to learn the Defense Counterintelligence and Security Agency (DCSA) facility and personnel clearance process.
    Tech office: Strategic Technology Office
    Topic #: HR0011SB20254-04
    Deadline: Feb. 5, 2025
    Solicitation
    FAQs 

Closed 

STTR | 2025.D Announcement Topics

Open 

  • Analyzing the Trade-off Between Bias and Accuracy
    Description: Develop new methods to analyze the trade-off between accuracy and bias in Artificial Intelligence (AI).
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-01
    Deadline: Feb. 26, 2025
    Solicitation
     
  • Mitigating Explicit and Implicit Bias Through Hybrid AI
    Description: Develop new neuro-symbolic methods that can mitigate both explicit (e.g., symbolic descriptions of bias) and implicit (e.g., the learned model parameters) biases in artificial intelligence (AI).
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-02
    Deadline: Feb. 26, 2025
    Solicitation
     
  • Unlearning Bias
    Description: Develop new methods that can unlearn the bias in artificial intelligence (AI) models.
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-03
    Deadline: Feb. 26, 2025
    Solicitation
     
  • Bias Datasets for the Department of Defense (DoD)
    Description: Develop new datasets for detecting bias in DoD applications.
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-04
    Deadline: Feb. 26, 2025
    Solicitation
     
  • Model-Agnostic Detection of Bias (MAD-Bias)
    Description: Develop new methods to detecting bias inherent in the datasets being used regardless of what the architecture of the downstream artificial intelligence (AI) model is.
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-05
    Deadline: Feb. 26, 2025
    Solicitation
     
  • Addressing Underrepresentation Through Data Augmentation
    Description: Develop new data augmentation techniques that address the underrepresentation of concepts, including artificial intelligence (AI) disparities across socio-ethno-political divides.
    Tech office: Information Innovation Office (I2O)
    Topic #: HR0011ST2025D-06
    Deadline: Feb. 26, 2025
    Solicitation
     

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