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Data Science Fellows FAQ

In this document, the Michigan Data Science Fellows Program is referred to as the DS Fellows Program. “Fellows” refers to the postdoctoral fellows in the program. Program Scope What research areas are within scope for this program? The research of the postdoctoral researchers (Fellows) should align with one or more of the following areas. Program ...

Data / General Interest / Happenings / News / Research

MIDAS Data Science for Music Challenge Initiative announces funded projects

From digital analysis of Bach sonatas to mining data from crowdsourced compositions, researchers at the University of Michigan are using modern big data techniques to transform how we understand, create and interact with music. Four U-M research teams will receive support for projects that apply data science tools like machine learning and data mining to ...

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Interdisciplinary Committee on Organizational Studies (ICOS) Big Data Summer Camp, May 14-18

Social and organizational life are increasingly conducted online through electronic media, from emails to Twitter feed to dating sites to GPS phone tracking. The traces these activities leave behind have acquired the (misleading) title of “big data.” Within a few years, a standard part of graduate training in the social sciences will include a hefty ...

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U-M students make strong showing at Michigan Datathon

University of Michigan students won first and third places in the Michigan Datathon held Nov. 4, 2017 in the Michigan Union and hosted by Citadel LLC, Correlation One, and the U-M Statistics Department. 1st-place winning team from the University of Michigan: Ruofei (Brad) Zhao, Statistics Ph.D. student Zheng Gao, Statistics Ph.D. student You Wu, Master’s in ...

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MDST – NFL Free Agency Value Prediction Competition Kick-Off – Nov. 9, 6pm

In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period. These predictions will be evaluated against the actual contracts as they are signed. This competition is organized by the Michigan Data Science Team (MDST), in ...

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Info session: Consulting and computing resources for data science — Nov. 8

Advanced Research Computing at U-M (ARC) will host an information session for graduate students in all disciplines who are interested in new computing and data science resources and services available to U-M researchers. Brief presentations from members of ARC Technology Services (ARC-TS) on computing infrastructure, and from Consulting for Statistics, Computing, and Analytics Research (CSCAR) ...

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CSCAR provides walk-in support for new Flux users

CSCAR now provides walk-in support during business hours for students, faculty, and staff seeking assistance in getting started with the Flux computing environment.  CSCAR consultants can walk a researcher through the steps of applying for a Flux account, installing and configuring a terminal client, connecting to Flux, basic SSH and Unix command line, and obtaining ...

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Winning posters from 3rd Annual MIDAS Symposium

More than 50 students took part in the Student Poster Competition during the 3rd Annual MIDAS Symposium. The winning entries can be viewed at http://midas.umich.edu/2017-symposium/winning-posters/

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Real estate dataset available to researchers

The University of Michigan Library system and the Data Acquisition for Data Sciences program (DADS) of the U-M Data Science Initiative (DSI) have recently joined forces to license a major data resource capturing parcel-level information about the property market in the United States.   The data were licensed from the Corelogic corporation, who have assimilated ...