Award Data

In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

With this Phase I funding, the project team will develop and test a prototype of the Toddler App and Cane which is intended to improve functional and adaptive school readiness skills for toddlers with visual impairments. The prototype will include a wearable hardware-based cane that wraps around a child's waist and provides tactile and audio cues to facilitate walking, a curriculum with game activ ...

With this Phase I funding, the project team will develop and test a prototype of a game-based application, Keeping It Real, to promote healthy relationships and prevent sexual misconduct among high school students. The prototype will include a game-based storytelling structure with branching narrative where students' choices determine how the story unfolds, a component to promote individual and gr ...

In prior research and development (in part supported by a 2014 ED/IES SBIR award), the project team developed Mission U.S., a series of web- and app-based games for topics in U.S. history. With this Phase I funding, the team will extend Mission U.S. by developing and testing a prototype of a virtual reality (VR) platform to immerse students in transformational moments in U.S history and to guide d ...

In prior research and development, the project team developed LiveSchool, an online platform to track student behavior. With this Phase I funding, the team will develop and test a prototype of an administrator dashboard. The dashboard will generate reports on individual student behavior patterns across classes and on the prevalence of behavioral issues across different teachers. The dashboard will ...

"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

"Anticipating future acts of creativity by our adversaries is very difficult. Yet, to avoid being blindsided by surprising new forms of WMD enabled by technology trends and scientific advances, DTRA must concern itself with exactly such future inventions. ATC-NY will develop the Archimedes system to give the DTRA an early heads up about anticipated technology, and scientific discoveries with po ...

OBJECTIVE: The successful outcome of this effort will support the use of ultra-deep submicron integrated circuits in DoD satellite systems that will result in very significant savings in weight, power and reliability for systems that include Space Radar, Space Tracking and Surveillance Systems and others. In addition, this effort will also support the use of compound semiconductor technologies (e ...

This project develops a nutrition program, MenuChoice©, for community-based group homes for persons with intellectual or developmental disabilities (IDD). Adults with IDD experience poorer nutritional health and more nutrition-related secondary conditions than adults without disabilities. These conditions are preventable and modifiable through a safe, healthful diet, but multiple challenges precl ...