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MDST group wins KDD best paper award

A paper by members and faculty leaders of the Michigan Data Science Team (co-authors: Jacob Abernethy, Alex Chojnacki, Arya Farahi, Eric Schwartz, and Jared Webb) won the Best Student Paper award in the Applied Data Science track at the KDD 2018 conference in August in London. The paper, ActiveRemediation: The Search for Lead Pipes in ...

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MDST Places in the Parkinson’s Biomarker Challenge

Participants: Junhao Wang, Arya Farahi and Xinlin Song (Challenge 1); Yi-Lun Wu, Chun-Yu Hsiung and Xinlin Song (Challenge 2) Parkinson’s disease (PD) is a degenerative disorder of central nervous system that mainly affects the motor system. Currently, there is no objective test to diagnose PD and the bedside examination by a neurologist remains the most ...

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Student data science competition winners visit Quicken Loans headquarters in Detroit

Earlier this year, three Data Science Team (MDST) members — winners of the Quicken Loan (QL) Lending Strategies Prediction Challenge — traveled to Detroit to visit QL headquarters, accept their prizes, and present their findings to the company’s Data Science team.   Alexander Zaitzeff, a graduate student in the Applied and Interdisciplinary Mathematics program won ...

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MDST Competes in the Midwest Undergraduate Data Analytics Competition

Authors: Weifeng Hu and Divyansh Saini The Competition We represented the Michigan Data Science Team (MDST) in the Midwest Undergraduate Data Analytics Competition hosted by MinneAnalytics in Minnesota. We were provided insurance claims data for people diagnosed with Type-II diabetes. At the novice level, the goal was to use this data to find meaningful patterns 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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MDST Partners with City of Detroit to Improve Blight Enforcement

Author: Allie Cell, College of Engineering PROBLEM OVERVIEW Property blight, which refers to lots and structures not being properly maintained (as pictured above), is a major problem in Detroit: over 20% of lots in the city are blighted. As a measure to help curb this behavior, in 2005 the City of Detroit began issuing blight ...

MDSTPosts

Driving with Data: MDST Partners with City of Detroit for Vehicle Maintenance Analysis Project

Author: Josh Gardner, School of Information For this project, MDST partnered with the City of Detroit’s Operations and Infrastructure Group. The Operations and Infrastructure Group manages the City of Detroit’s vehicle fleet, which includes vehicles of every type: police cars, ambulances, fire trucks, motorcycles, boats, semis … all of the unique vehicles that the City ...

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MDST partners with Adamy Valuation for market analysis

Authors: Michael Kovalcik, College of Engineering; Xinyu Tan, College of Engineering; Derek Chen, Ross School of Business. Problem Overview The Michigan Data Science Team partnered with Adamy Valuation, a Grand Rapids-based valuation firm, to bring data-driven insights to business equity valuation.  Business valuation firms determine the market value of business interests in support of a variety ...

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MDST announces Detroit blight data challenge; organizational meeting Feb. 16

The Michigan Data Science Team and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit on a data challenge that seeks to answer the question: How can blight ticket compliance be increased? An organizational meeting is scheduled for Thursday, Feb. 16 at 5:30 p.m. in EECS 1200. The city ...