In September 2019, it was five women from DHS S&T NUSTL who embarked on a project to assess the capability, usability, deployability, maintainability, and affordability of various makes and models of female body armor.
Law Enforcement Resource
The Best Practices for Detection Canine Training & Testing booklet is provided to share science-backed concepts and ideas that are proven to improve the quality and rigor of detection canine training and testing.
The DHS S&T recently partnered with public safety agencies from the City of Birmingham and Jefferson County, Alabama, for the NGFR – Birmingham Shaken Fury Operational Experimentation.
The Department of Homeland Security (DHS) Science and Technology Directorate’s (S&T) Detection Canine Program is exploring the potential role of detection canine teams in developing a more effective response to active shooter incidents.
The Visual Analytics Law Enforcement Toolkit (VALET) integrates large volumes of criminal, traffic and civil incident data into a single, interactive user interface to help law enforcement decision makers, analysts and officers identify crime trends and patterns, discover crime anomalies, and perform predictive crime analytics in order to assist in allocating law enforcement resources.
Developed by the Center for Visualization and Data Analytics, a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, VALET provides users with a visual display of multiple integrated crime datasets and a variety of crime analyses capabilities.
Technology innovators are invited to an industry Stakeholder Summit, August 9 in Washington, DC, to learn about the highest priority needs of more than 7.5 million first responders in the global market.
DHS S&T has directed Johns Hopkins University Applied Physics Laboratory (JHU/APL) to implement a synthesis study to identify and summarize existing body worn cameras (BWC)-related research, specifically that which involves law enforcement personnel perceptions of an incident/event to compare with data/video acquired from BWC devices.
This report documents the Advanced Multi-threat Base Ensemble for Responders (AMBER) research conducted by the Textile Protection and Comfort Center (T-PACC) within the College of Textiles at North Carolina State University (NC State) between September 2014 and December 2017. The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) sponsored T-PACC to develop an advanced multi-threat garment for first responders.
Responder News -- When it comes to tools and technology first responders need to do their jobs, they want to know “What equipment is available?” “How does it perform?” SAVER’s reports help first responders answer these questions. The U.S Department of Homeland Security (DHS) Science and Technology Directorate (S&T) established the System Assessment and Validation for Emergency Responders (SAVER) Program to assist emergency responders making procurement decisions.
The Regional Explosives Detection Dog Initiative (REDDI) is a series of regionally-based events for detection canine teams in the law enforcement community.