From Dept of Defense:
The Insight program addresses key shortfalls in current intelligence, surveillance and reconnaissance systems. Automation and integrated human-machine reasoning enable operators to analyze greater numbers of potential threats ahead of time-sensitive situations. The Insight program aims to develop a resource-management system to automatically identify threat networks and irregular warfare operations through the analysis of information from imaging and non-imaging sensors and other sources.
The Video and Image Retrieval and Analysis Tool (VIRAT) program aims to develop a system to provide military imagery analysts with the capability to exploit the vast amount of overhead video content being collected. If successful, VIRAT will enable analysts to establish alerts for activities and events of interest as they occur. VIRAT also seeks to develop tools that would enable analysts to rapidly retrieve, with high precision and recall, video content from extremely large video libraries.
Dept of Homeland Security
The Center of Excellence on Visualization and Data Analytics (CVADA), a collaboration among researchers at Rutgers University and Purdue University (with three additional partner universities each) leads research efforts on large, heterogeneous data that First Responders could use to address issues ranging from manmade or natural disasters to terrorist incidents; law enforcement to border security concerns; and explosives to cyber threats.
Dept of Veterans Affairs
Protecting Warfighters using Algorithms for Text Processing to Capture Health Events (ProWatch): Efforts in the VA are underway to produce transparent, reproducible and reusable software for surveillance of various safety related events. ProWatch is a research-based surveillance program that relies on newly developed informatics resources to detect, track, and measure health conditions associated with military deployment.
Dept of Health and Human Services
Center for Disease Control & Prevention (CDC)
BioSense 2.0 is the first system to take into account the feasibility of regional and national coordination for public health situation awareness through an interoperable network of systems, built on existing state and local capabilities. BioSense 2.0 removes many of the costs associated with monolithic physical architecture, while still making the distributed aspects of the system transparent to end users, as well as making data accessible for appropriate analyses and reporting.