March 21–22, 2013
On March 29, 2012, the White House announced the Big Data Research and Development Initiative to mobilize the research and development enterprise towards Big Data analytics for solving some of the nation's most pressing challenges. Many agencies are involved, spanning from National Science Foundation (NSF) and National Institutes of Health to the Department of Defense and the Department of Energy. Signal processing and systems engineering communities can be important contributors to Big Data research and development, complementing computer and information science-based efforts in this direction. Big Data analytics entail high-dimensional, decentralized, online, and robust statistical signal processing, as well as large, distributed, fault-tolerant, and intelligent systems engineering. There is a need and opportunity for the signals and systems communities to jointly pursue Big Data research and development.
The aim of this workshop is to bring together signal processing scientists and engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental engineering has to play in Big Data research and development. This workshop will emphasize signal analytics and systems engineering aspects of Big Data. Time is of essence, as the premise is to engage the engineering community and help shape up research directions for the next few years.