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News

News

  • Making the Most of Big Data Requires Effective Training in Data Science

    Making the Most of Big Data Requires Effective Training in Data Science

    Inside Big Data
    |
    February 6, 2017

    Devavrat Shah, co-director of MIT’s Statistics and Data Science Center outlines the need for multidisciplinary training to efficiently interpret accumulated data.


  • Data Science:  Data to Insights

    Data Science: Data to Insights

    IDSS site
    |
    February 1, 2017

    MIT Professional Education and IDSS again offer “Data Science: Data to Insights,” a six-week online course focusing on analytics.


  • LIDS Student Conference – February 2nd & 3rd, 2017

    IDSS site
    |
    January 31, 2017

    This a student-organized, student-run conference provides an opportunity for graduate students to present their research to peers, as well as to the community at large.


  • MIT Election Data and Science Lab launches

    MIT Election Data and Science Lab launches

    SHASS/MIT News
    |
    January 26, 2017

    Founded by political scientist Charles Stewart III, the Election Lab focuses on non-partisan research, data, and analysis to improve elections.


  • Trancik Lab: From Data to Action

    Trancik Lab: From Data to Action

    MIT Scope
    |
    January 13, 2017

    The Trancik Lab uses data models to answer questions about energy technologies from photovoltaics to electric cars.


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