A new system from Rutgers University called “Distributed Higher Order Privacy Enhanced Knowledge Discovery”, DI-HOPE-KD, aims to bridge the caps between disparate criminal investigations groups in hopes of revealing patterns and knowledge previously hidden.
Once DI-HOPE KD is fully online, the system will use enormous amounts of data from multiple sources nationwide to turn up new leads on cases. In the meantime, the Rutgers group is testing their system’s algorithms using supercomputers to simulate a distributed environment, Pottenger says. While some parts of the DI-HOPE KD system are already available, the full system is expected to come online in the next five to ten years
William Pottenger is leading the effort with help from the NSF and Homeland Security. The main focus is developing a set of “Higher Order Learning algorithms” to mine the massive piles of input data for patterns and important nuggets, to later be handed off to human investigators.
via Feature – Finding a clue in a data-stack.
Purdue University is kicking off a new center dubbed “Visual Analytics for Command, Control and Interoperability Environments” (VACCINE), funded by the US Department of Homeland Security, to create tools and software for use by government agencies and emergency personnel.
“We are creating ways for people to get information interactively in an understandable format to help them make the right decisions and take preventive measures,” Ebert said. “For example, simulations to see what would happen if you were to quarantine a certain city to control the spread of pandemic flu or whether reallocating police patrols would reduce crime.”
The center will be co-led by Purdue and Rutgers, and consists of a team of 15 universities.
via Untitled Document.
The US Department of Homeland Security has awarded a 6-year $30 million grant to Purdue and Rutgers to build a “Center of Excellence in Command, Control and Interoperability”.
Purdue and its team of 14 universities will focus on the Visualization Sciences, while Rutgers will lead the effort’s Data Sciences component. The center has already formed partnerships with local, state and national groups to provide university researchers real-world examples to help test and refine developing technology.
The two teams also represent coalitions of several other schools from around the southeast, and got a head start a few years ago when DHS granted them about $2million to build the “Purdue University Regional Visualization and Analytics Center” (PURVAC).
via Purdue, Rutgers will lead $30 million U.S. homeland security research center | Lafayette Online.
The US Department of Homeland Security (DHS) has just issued a Request for Information (RFI) on their “Common Operational Picture” project. The project aims to integrate massive amounts of data from various tools into a single location for quick update and analysis of critical situations. One part in particular they’re asking for information on is :
.(6) VISUALIZE INFORMATION: (a) Allow for the automatic display of data and reports in the NOC COP in accordance with established business rules.(b) Allow users to create a unique UDOP on a single desktop or for dissemination on multiple panels as found in a typical operations center. An individual UDOP does not affect or copy back to the NOC COP.
(7) DISPLAY GEOSPATIAL INFORMATION: (a) Use DHS enterprise geospatial services including iCAV and DHS Earth. There will be no duplication of capability. (b) Automatically or manually organize and depict layered information geospatially on map or other image.
Common Operational Picture (COP) – Federal Business Opportunities: Opportunities.