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5214 search results found
  • December 6, 2006
    Department of Earth, Atmospheric, and Planetary Sciences

    Program in Planetary Science (PPS)

    Principal Investigator Benjamin Weiss

  • Researchseminars.org serves as a sort of crowdsourced Ticketmaster for science talks. Instead of featuring upcoming shows and concerts, the new site lists more than 1,000 free, upcoming seminars hosted online by more than 115 institutions around th...
    May 26, 2020 MIT News

    A Ticketmaster for science seminars

  • A set of images documents one participant through multiple interactions with MIT's "Your Baby the Physicist" study. The study is one of many now made more easily accessible to participants through the new Children Helping Science collaborative.Imag...
    June 9, 2020 MIT News

    Serious science at home

  • Publication date: October 31, 2012
    Books
    Felice C. Frankel and Angela H. DePace

    Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers

  • December 13, 2017
    MIT Media Lab

    City Science Lab Aalto

    Principal Investigator Kent Larson

  • September 10, 2015
    Department of Civil and Environmental Engineering

    MultiScale Material Science for Energy and Environment

    Principal Investigator Franz-Josef Ulm

  • October 10, 2013
    Department of Mechanical Engineering

    MIT Consortium for Engineering Program Excellence

    Principal Investigator Warren Seering

  • August 9, 2011

    CSI: Community Science Investigators

  • August 15, 2006

    Sloan Undergraduate Program in Management Science

  • Conference-ICT-2018

    Leo Celi - 2016-Digital-Health_Conf-videos

    September 14, 2016Conference Video Duration: 24:10

    Bridging the Gap: Towards machine learning that matters in healthcare

    The Agency for Healthcare Research and Quality was established in 1989 in response to an Institute of Medicine report that pointed out ?escalating healthcare costs, wide variations in medical practice patterns, and evidence that some health services are of little or no value?. More than 25 years later, there has been surprisingly little progress in these three areas. The interest in applying machine learning to clinical practice is increasing yet the practical application of these techniques has been less than desirable. There is a persistent gap between the clinicians required to understand the context of the data and the engineers who are critical to extracting useable information from the increasing amount of healthcare data that is being generated.

    2016 MIT Digital Health Conference

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