Visualization

Leonard Patterson took a picture of a parcel of land on Detroit’s northwest side earlier this month as part of an emerging database. Credit Fabrizio Costantini for The New York Times

nytimes.com - by Monica Davey - February 17, 2014

DETROIT — A midnight blue Chevy rolls slowly down a snow-covered street, an emergency strobe light on its roof and a sign on its side that promises this is “official business.” At each house, business, even vacant lot, workers in the car pause to decide whether someone lives there and what shape the place is in before snapping a photo and beaming it to “mission control” miles away.

All over Detroit, scores of these workers — on some days as many as 75 three-person teams — have been wending their way through the streets since December, cataloging on computer tablets one of this bankrupt city’s most devastating ailments: its tens of thousands of abandoned and dilapidated buildings.

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Sandia's stochastic network metholodogy accelerates spread of food-borne illness // Source: sandia.gov

submitted by Luis Kun

Homeland Security News Wire - October 1, 2012

Researchers demonstrate how developing a probability map of the food supply network using stochastic network representation might shorten the time it takes to track down contaminated food sources; stochastic mapping shows what is known about how product flows through the distribution supply chain and provides a means to express all the uncertainties in potential supplier-customer relationships that persist due to incomplete information

Uncovering the sources of fresh food contamination could become faster and easier thanks to analysis done at Sandia National Laboratories’ National Infrastructure Simulation and Analysis Center (NISAC).