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<< Friday, June 21, 2013 >>


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Extracting Actionable Insight From Dirty Time-Series Data

Presentation | June 21 | 12-1 p.m. | Sutardja Dai Hall, Banatao Auditorium


Joshua Bloom, UC Berkeley

Office of the Vice Chancellor for Research


Earthquakes. Supernovae. Social unrest. Traffic accidents. Smart thermostats. They all generate noisy and incomplete streaming sensor data that require some form of action to be taken on the resultant inferences. But how do researchers with domain expertise build the capability to generate actionable inferences when such tools often require cutting-edge frameworks from statistics and computer science? If you're a domain scientist, who do you turn to for collaboration? If you are in statistics or EECS what do you get out of such collaborations? Join us for a conversation about toolkits and the practice of collaboration around time-series data on campus and beyond.

Professor Bloom's presentation will be followed by a panel discussion with Richard M. Allen, Professor, Earth and Planetary Science, Berkeley Seismological Lab; Michael Silver, Professor, Optometry and Vision Science and Neuroscience, School of Optometry and Helen Wills Neuroscience Institute. The panel will be moderated by Fernando Perez, Henry H. Wheeler Jr. Brain Imaging Center.


(510) 642-7540