Ghani
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The big data hype has been gaining momentum over the past several years. Although a lot of it is hype and buzzwords, what is undeniable is that the use of data to improve decision-making can improve a ...

The big data hype has been gaining momentum over the past several years. Although a lot of it is hype and buzzwords, what is undeniable is that the use of data to improve decision-making can improve a lot of organizations. Despite this potential, most of the examples we hear about the use of data is in the corporate world, especially in finance, internet search, and advertising. In this talk, I’ll talk about the potential of using data for social good. I’ll give several examples from the Data Science for Social Good Summer Fellowship at the University of Chicago that highlight how data science can be used to solve large-scale problems with social impact in areas such as education, healthcare, sustainability, community development, and disaster relief. I’ll highlight some of the projects related to education and discuss how data scientists have the potential some of these most challenging problems.

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    Ghani Ghani Presentation Transcript

    • Rayid Ghani @rayidghani Using Data for Social Good Rayid Ghani University of Chicago & Edgeflip
    • Rayid Ghani @rayidghani By the Numbers 48Fellows 8 Mentors 12 Projects 12 Weeks
    • 550 Applicants from 34 countries ~200 Universities 36 fellows Computer Scientists Statisticians Economists Public Policy (and other computational and quantitative fields) CMU U. of Chicago Harvard U. Of Wisconsin Madison UT Austin MIT Yale ITAM Columbia Northwestern UIC Stanford Technion U of Alabama Georgia Tech Cambridge UC Irvine U of Maryland U of Michigan Stanford WPI The Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
    • Rayid Ghani @rayidghani The Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
    • 6 Cook County Land Bank A Zillow for Vacant & Abandoned Properties
    • 7 Improving Public Transit Planning A Step Forward in Solving the Crowding Problem Brandon Willard Research Consultant Booth School of Business Walter Dempsey Statistics University of Chicago Andrés Akle Carranza Applied Math Instituto Tecnológico Autónomo de México Jordan Bates Computer Science Arizona State University David Sekora Computer Science University of Chicago
    • 8 Measuring Impacts on Children’s Health and Development Evaluating Home Visitation Programs
    • 9 Code Blue Prediction Using EMR Data
    • 10 Machine Suggestions for Report Reviewing Smarter Crisis Crowdsourcing
    • 11 Targeting students at risk of not going to college The Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship 2013
    • Rayid Ghani @rayidghani Rayid Ghani rayid@uchicago.edu For more information on the summer fellowship http://dssg.uchicago.edu Let’s work on problems that matter! Contact Information