Overview
Big Data arises from many frontiers of scientific research and decision and policy making. It holds great promise for the discovery of heterogeneity in the population for personalized treatments and services as well as possibly weak patterns in possibly heterogeneous populations. It involves any voluminous amount
of structured, semi-structured and unstructured data that has the potential to be mined for information.
It is an interdisciplinary area that requires collaborations and cross-fertilizations among Applied Mathematics,
Computer Science, and Statistics.
The program will bring together a number of prominent researchers in Statistics, Computer Science, and
Applied Mathematics with interests in big data to share their research findings, to exchange ideas, and to
encourage interactions and collaborations amongst participants.
4 January 2015: Short Courses
5-10 January 2015: Workshop
11-16 January 2015: Mini-workshop & Discussion
Organizers, speakers and participants gather for a group
photo
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Co-sponsors
| Institute for Mathematics and its Applications (IMA), University of Minnesota |
| Center for Statistical Science (CSS), The Hong Kong University of Science and Technology
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| Department of Mathematics, The Hong Kong University of Science and Technology
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| Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
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