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U-M Data Science Annual Symposium 2020

a Symposium

Tuesday, 11/10/2020 to 11/11/2020

Location: Virtual

Keynote Speakers:
CATHERINE D'IGNAZIO
Assistant Professor, Urban Science & Planning
Director, Data + Feminism Lab
Department of Urban Studies & Planning, MIT

LAUREN KLEIN
Associate Professor, English, Quantitative Theory and Methods
Emory University

CALL FOR PRESENTATIONS
The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2020 U-M Data Science Symposium.

As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.

Presentations at the symposium should cover one or more of the following areas of data science:

Theoretical foundations
Methodology and tools
Real-world application in any domain
The ethics and societal impact of data science
Emerging areas of data science

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