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U-M and SJTU Research Symposium on Data Science
March 28 & 29, 2017, Shanghai, China
The University of Michigan (U-M) and Shanghai Jiao Tong University (SJTU) are jointly organizing an internal Symposium on Data Science to be held March 28 & 29, 2017 at SJTU in Shanghai, China.
The purpose of this event is to facilitate the development of collaborative research projects between co-investigators from SJTU and U-M. The objective is to match investigators who would respond to a call for proposals for a Seed Phase for joint research projects in the field of data science.
Seed projects will develop innovative methodological approaches for data collection, data analysis, and data interpretation. Topics may focus on, but are not restricted to the following areas:
- Data science for applied chemistry and physics of the universe (e.g. catalysis, various topics in astrophysics).
- Data science for finance and economics.
Methodological approaches might include developing or applying concepts from machine learning, computer vision, knowledge discovery, active sensing, optimal experimental design, spatio-temporal signal analysis, advanced data visualization or automated anomaly detection.
These Seed Projects would provide a basis for future joint proposals seeking external support. Successful seed project proposals, therefore, must describe a strong potential for significant follow-on external funding as well as for technology transfer and commercialization.
Details of the program in a Call for Proposals will be released shortly after the symposium with the expected due date of mid-May, 2017.
The University of Michigan, Office of Research has limited funds to support travel to this Symposium for U-M faculty. If you would like to participate, please send an email to Ann Leffler (firstname.lastname@example.org) with a brief sentence on your research interests.
If you are interested in participating in the symposium or potentially pursuing funding, please complete the faculty profile form. This form is provided to help participants identify common research interests. All completed faculty profile forms are available online. Note that participation in the Symposium is not a prerequisite to apply for funding. UMOR expects to have a small amount of funding available to assist covering some of the travel expenses.