Workshop "Data Science meets Optimization"
RWTH Aachen, Germany, April 4-5, 2016
http://www.or.rwth-aachen.de/dataopt
With the recent abundant availability of data in many economic and
scientific contexts, there is a need for scientists who can "make
sense of data." Data science, broadly interpreted, touches on
statistics, machine learning, and knowledge discovery.
Optimization, on the other end, wants to "suggest best actions" based
on data. Tremendous progress has been made recently in fields like
integer programming. This workshop aims at bringing together
researchers from data science and optimization (or: predictive and
prescriptive analytics) to foster an exchange in both directions. We
would like to identify avenues on how to attack and contribute to
solving global challenges coming from sectors like energy, mobility,
scarce resources, ageing societies, and the like.
Keynote Speaker: Kristian Kersting, U Dortmund, "Democratization of
Optimization"
Please register by March 28, 2016.
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