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Big Data, New Physics and Geospatial Super-Food


As large collections of data come together, some very exciting and somewhat unexpected things happen.  As data grow, the quality of predictions improves (less false positives, less false negatives), poor quality data start to become helpful, and computation can actually get faster as the number of records grows.  Now, add to this, the "space-time-travel" data about how people move about, data that are being created by billions of mobile devices, and what becomes computable is outright amazing. As it turns out, geospatial data are analytic super-food.

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Anyone outside NIST wishing to attend must be sponsored by a NIST employee and receive a visitor badge.

For more information, contact Kum Ham at 301-975-4203.

Colloquia are videotaped and available in the NIST Research Library.


Jeffrey Jonas
Chief Scientist and IBM Distinguished Engineer
IBM Entity Analytics


Start Date: Friday, March 11, 2011
End Date: Friday, March 11, 2011
Location: 10:30 a.m., Green Auditorium, Gaithersburg, VTC to Boulder in Room 1107
Format: Colloquium