Award Data

OBJECTIVE: To provide innovative technologies and system components which increase the lifetime and utility of various systems within DTRA"s Tag, Track, and Locate (TTL) portfolio to combat weapons of mass destruction (WMD). The specific innovations sought under this topic are improved technologies that advance the state of the art for energy scavenging or capture from the ambient environment an ...

OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

Echo Ridge proposes to deliver a Hardware-in-the-Loop RF environment emulator with high fidelity scintillation simulation within which propagation models will in real-time accurately simulate a nuclear-disturbed environment for testing MILSATCOM communications links. The emulator will accommodate the attachment of physical devices (MILSATCOM communications link equipment or simulators), and/or mod ...

"We propose a disruptive, user-transparent occupancy sensor to accurately determine the presence of occupants in residential buildings to enable temperature setbacks and provide energy savings of over 30% per year. Our technique utilizes standard 802.11ac (or higher) commercially available WiFi-equipped devices such as routers, access points and Raspberry Pi’s (hotspots) as sensors to monitor a ...

Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

Through previous research and development, the team created a teacher platform that suggests research-based strategies for supporting students with special needs or targeted skill gaps. This project will develop a prototype of a dashboard for teachers to create, access, and track student's Individual Educational Plans (IEPs). At the end of Phase I, in a pilot study with six middle school special e ...

Through a previous grant award from the U.S. Department of Education, researchers developed Read for Success, an intervention designed to stem the summer slide among struggling readers. This project will develop a prototype of Mix Libris, an Augmented Reality (AR) enhanced mobile literacy platform designed to support and motivate grade 3 students in acquiring and improving literacy skills. Mix Lib ...

Through previous grant awards from IES and the National Science Foundation and an ED/IES SBIR award, researchers developed a virtual laboratory with performance-based simulations aligned to Next Generation Science Standards (NGSS) in physical, life, and earth science for middle school, as well as a dashboard to provide teachers real-time formative and summative assessment reports on students doing ...

The BASALT (Biosecurity Assessment using Semantic Analysis of Life sciences Text) system accelerates the process of DURC (Dual Use Research of Concern) review by automatically the detecting of concepts of concern in research proposals. Concepts of concern are statements expressed as phrases, sentences, or even whole paragraphs, that evoke ideas related to the 15 pathogens and 7 experimental catego ...