Research Impacts | MIDAS

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Research Impact

April 15, 2021
Who are our Data Scientists?

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https://mailchi.mp/umich/data-science-october2020-highlights-777529#article
March 26, 2021
Student winners of the MyVoice Data Challenge reflect on their experience

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https://www.si.umich.edu/about-umsi/news/student-winners-myvoice-data-challenge-reflect-their-experience
February 26, 2021
MIDAS supports researchers to predict cancer drug efficacy across and within cancer types

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https://labblog.uofmhealth.org/lab-report/new-model-predicts-cancer-drug-efficacy-across-and-within-cancer-types
February 24, 2021
Dr. Nicholson Price and colleagues discuss knowledge transfer for COVID vaccine manufacturing

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https://science.sciencemag.org/content/369/6506/912
January 26, 2021
MIDAS pilot funds and research working group help Yajuan Si and collaborators improve statistical measures to better predict COVID-19 prevalence

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https://www.washingtonpost.com/outlook/2021/01/25/covid-statistics-positivity-rates-improving-predictions/
January 15, 2021
Dr. Jon Zelner’s Research Links Race and Socioeconomic Status with the Disparities in COVID Mortality

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https://midas.umich.edu/project/high-resolution-spatial-analysis-to-inform-the-response-to-covid-19-in-michigan/
November 3, 2020
Shobita Parthasarathy comments on “Does Michigan Proposal 2 Go Far Enough To Protect Your Digital Data?”

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https://wdet.org/posts/2020/10/29/90228-does-michigan-proposal-2-go-far-enough-to-protect-your-digital-data/
October 21, 2020
Paramveer Dhillon, Assistant Professor in the School of Information and MIDAS affiliated faculty member, says online news needs a new pay model

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https://record.umich.edu/articles/u-m-researcher-says-online-news-needs-a-new-pay-model/
October 20, 2020
MIDAS affiliated faculty: Walter Mebane discusses 2020 election security

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https://news.umich.edu/state-officials-confident-in-election-security-despite-voter-concerns/
October 10, 2020
MIDAS Challenge Award lead Dr. Stephanie Teasley and collaborator Dr. Kelly discuss learning analytics, higher education and employment

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https://repository.isls.org/bitstream/1/6848/1/Teasley%20et%20al%20RCR%20Oct2020.pdf
September 30, 2020
A MIDAS Challenge Award team, led by Stuart Soroka (Communication and Media & Political Science), works with CNN on a Sentiment Analysis about the 2020 election candidates

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https://s3mc.org/political-communication/election-2020-project/sentiment-analyses/
September 2, 2020
Data scientists and artists team up to demonstrate “fair representation”

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https://record.umich.edu/articles/arts-initiative-announces-first-round-of-exploration-pilot-grants/
August 24, 2020
MIDAS Challenge Award team collaborates with CNN and provides polling expertise

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https://www.cnn.com/2020/08/16/politics/election-2020-polls-the-breakthrough-methodology/index.html
July 30, 2020
MIDAS collaborates with the EPA to reduce the environmental impact of vehicle emissions

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http://www.lsa.umich.edu/cg/cg_detail.aspx?content=2310EECS498009&termArray=f_20_2310
July 16, 2020
Shu-Fang Shih and team received a grant from the National Science Foundation to study how behaviors and acceptance of a COVID-19 vaccine change over time

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https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027836&HistoricalAwards=false
July 9, 2020
With support from Microsoft’s AI for Health program, Siqian Shen investigates how big data could optimize COVID-19 testing

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https://news.engin.umich.edu/2020/07/how-big-data-could-optimize-covid-19-testing/
July 7, 2020
Affiliated faculty, Aradhna Krishna, discusses “How did ‘white’ become a metaphor for all things good?” in The Conversation

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http://myumi.ch/er83p
June 17, 2020
MIDAS researcher Daniel Forger seeks users for app that monitors biological rhythms during COVID-19 lockdown

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https://news.umich.edu/new-app-analyzes-how-social-distancing-affects-biological-clocks/
June 15, 2020
MIDAS affiliated faculty, Margit Burmeister and Srijan Sen, assess the mental health of young physicians in China before and during the COVID-19 outbreak

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https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2766578
June 9, 2020
MIDAS affiliated faculty, Tom Valley and Brahmajee Mallamothu, and first author and medical student, Jennie DeBlanc, investigate the availability of statistical code from studies using Medicare data in general medical journals

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https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2763811
June 9, 2020
Research funded in part by a MIDAS Challenge Grant is published in Words That Matter: How the News and Social Media Shaped the 2016 Presidential Campaign

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https://cpsblog.isr.umich.edu/?p=2661

Research Accomplishments

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Interpreting SARS-CoV-2 seroprevalence, deaths, and fatality rate — Making a case for standardized reporting to improve communication

MIDAS affiliated faculty member, Santiago Schnell, identifies key metadata for the COVID-19 fatality rate after a thorough analysis of mathematical models, serology-informed studies and determinants of causes of death for the COVID-19 pandemic.
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Urban Air Pollution Mapping Using Fleet Vehicles as Mobile Monitors and Machine Learning

MIDAS affiliated faculty members, Ji Zhu and Ming Xu, demonstrate the potential and necessity of using fleet vehicles as routine mobile sensors combined with advanced data science methods to provide high-resolution urban air quality monitoring.
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Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

MIDAS affiliated faculty members, Srijan Sen and Ambuj Tewari, review federated learning and assess whether it can be useful in the mHealth field.