ODNI Describes Emerging Tools for Data Fusion, Analysis
Several intelligence community initiatives to develop improved tools for data search, analysis and fusion were described in the latest report to Congress (pdf) from the Office of the Director of National Intelligence on data mining.
A new program called DataSphere is intended “to aid in the discovery of unknown terrorism relationships and the identification of previously undetected terrorist and terrorism information” through analysis of communication networks and travel patterns.
A continuing program called Catalyst seems to be a glorified search engine that “will enable data fusion/analytic programs to share disparate repositories with each other, to disambiguate and cross-correlate the different agencies’ holdings, and to discover and visualize relationship/network links, geospatial patterns, temporal patterns and related correlations.”
Although these and other initiatives do not yet constitute or engage in “data mining,” they were described in the new report “in the interest of transparency,” ODNI said. See “2010 Data Mining Report,” Office of the Director of National Intelligence, April 2011.
The bootcamp brought more than two dozen next-generation open-source practitioners from across the United States to Washington DC, where they participated in interactive modules, group discussions, and hands-on sleuthing.
Fourteen teams from ten U.S. states have been selected as the Stage 2 awardees in the Civic Innovation Challenge (CIVIC), a national competition that helps communities turn emerging research into ready-to-implement solutions.
The Fix Our Forests Act provides an opportunity to speed up the planning and implementation of wildfire risk reduction projects on federal lands while expanding collaborative tools to bring more partners into this vital work.
Public health insurance programs, especially Medicaid, Medicare, and the Children’s Health Insurance Program (CHIP), are more likely to cover populations at increased risk from extreme heat, including low-income individuals, people with chronic illnesses, older adults, disabled adults, and children.