The Publication Library contains guidance and policy papers, reports, strategies, program regulations, guidelines, brochures and more.
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CIVIC Innovation Challenge 2021 Fact Sheet
The Department of Homeland Security Science and Technology Directorate is partnering with the National Science Foundation and U.S. Department of Energy to co-sponsor the Civic Innovation Challenge 2021, a nation-wide research and action competition that aims to fund ready-to-implement, research-based pilot projects that have the potential for scalable, sustainable, and transferable impact on community-identified priorities.
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PIADC Science Program Fact Sheet
DHS S&T's PIADC Science Program, established in 2005, executes a broad portfolio of projects related to the prevention, protection, and mitigation of transboundary animal disease. The goal of the DHS PIADC Science Program is to prevent the introduction of—and provide tools to counter threats posed by—transboundary animal diseases to North America.
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PIADC Science Program: Diagnostic Development Fact Sheet
DHS S&T's Plum Island Animal Disease Center Science Program conducts critical scientific studies that support the development of diagnostic tests for transboundary animal diseases. From fiscal year 2018–present, DHS S&T has invested more than $2.5M to test and evaluate diagnostic devices for transboundary animal diseases.
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PIADC Science Program: Vaccine Development Fact Sheet
DHS S&T’s PIADC Science Program specializes in conducting pivotal scientific studies in direct support of transitioning transboundary animal disease (TAD) vaccine candidates. Vaccine development projects conducted by the DHS PIADC Science Program are essential for protecting U.S. food and agriculture and are a vital tool in addressing the threat of TADs.
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Optimizing Radioactive Contamination Screening
The National Urban Security Technology Laboratory (NUSTL) prepared the “Optimizing Radioactive Contamination Screening at Community Reception Centers Report” to provide emergency response organizations with technical guidance for deploying CRC radiation detection equipment to optimize screening efficiency.
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Deferred Action for Childhood Arrivals (DACA)
The Department of Homeland Security (DHS) United States Citizenship and Immigration Services (USCIS) is updating the Privacy Impact Assessment (PIA) for Deferred Action for Childhood Arrivals (DACA), published on August 15, 2013. 1 The purpose of this update is to discuss changes to Form I-821D, Consideration for Deferred Action for Childhood Arrivals, primarily in support of the DACA renewal requests. USCIS has revised Form I-821D to allow for both initial and renewal DACA requests.
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Next Generation Incident Command System Operational Advancement Fact Sheet
The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) in conjunction with the NATO Science for Peace and Security Programme and the Massachusetts Institute of Technology – Lincoln Laboratory, (MIT-LL) will work with the countries of Bosnia & Herzegovina, Croatia, Montenegro, and North Macedonia to extend the productive and collaborative work accomplished in the previous 5-year project into the operational phase of the NICS deployment.
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CP3 Fiscal Year 2023 Report to Congress
DHS's Center for Prevention Programs and Partnerships provided this report for fiscal year 2023.
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Centralized Area Video Surveillance System
The Centralized Area Video Surveillance System (CAVSS) — a system of cameras and separate microphones recording video and audio, respectively— furthers the Department of Homeland Security (DHS) U.S. Customs and Border Protection’s (CBP) mission by collecting and maintaining video images and audio recordings of persons involved in any incidents or disturbances related to DHS/CBP law enforcement at the border, including inspection areas, while seeking entry or admission into the United States. CAVSS uses information technology to collect, maintain, and disseminate personally identifiable information (PII) in the form of video and audio recordings.
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Foundation Models at the Department of Homeland Security
Considered the modern-day backbone of artificial intelligence (AI), a foundation model (FM) is a type of machine learning model that is trained on a broad set of general domain data for the purpose of using that model as an architecture on which to build multiple specialized AI applications. By collapsing data and technology across use cases, FMs benefit from increases in the scale and scope of datasets to become more capable and from economies of scale in workflow to become more efficient and impactful. To better understand how we can learn from these FMs with respect to images and other data sources, which inform decision-making, this analysis examines a host of different homeland security use cases, paving the way for a safer and more resilient nation.