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HARVARD DATA SCIENCE INITIATIVE 5TH ANNIVERSARY

Celebrating community, innovation, and impact.

Welcome to the Harvard Data Science Initiative's 5th Anniversary. From September, 2021 through May, 2022, we will showcase past accomplishments and future endeavors through a series of seminars, tutorials, workshops, and panels - some in person and some online. We hope you'll join us in celebrating Harvard's vibrant data science community, cutting-edge research, and unparalleled social impact.

Upcoming Events

  • Keynote: Trust in Science
    Keynote: Trust in Science
    Time is TBD
    Webinar
    Time is TBD
    Webinar
    Time is TBD
    Webinar
    Join us as we continue the HDSI 5th Anniversary Celebration Series with our "Keynote: Trust in Science" event featuring Professor Kate Crawford. Kate will lead a discussion with Sheila Jasanoff, Pforzheimer Professor of Science and Technology Studies at the Harvard Kennedy School.
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  • Driving Social Impact With Data
    Driving Social Impact With Data
    Tue, Apr 26
    Webinar
    Apr 26, 2022, 3:00 PM – 4:30 PM EDT
    Webinar
    Apr 26, 2022, 3:00 PM – 4:30 PM EDT
    Webinar
    A discussion about data science for social good featuring speakers from data.org, McKinsey & Company, AWS Global Impact Computing, and the Harvard T.H. Chan School of Public Health.
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  • Panel: Networks & Markets
    Panel: Networks & Markets
    Wed, Apr 20
    Webinar
    Apr 20, 2022, 12:30 PM – 2:00 PM EDT
    Webinar
    Apr 20, 2022, 12:30 PM – 2:00 PM EDT
    Webinar
    Join us as we continue our celebration of the HDSI's 5th Anniversary with a conversation on networks and markets moderated by computer scientist and entrepreneur, R. Martin (“Marty”) Chavez, and panelists from Harvard Business School and the University of Surrey.
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  • Plenary Fireside Chat
    Plenary Fireside Chat
    Tue, Mar 29
    Webinar
    Mar 29, 2022, 12:00 PM – 1:30 PM EDT
    Webinar
    Mar 29, 2022, 12:00 PM – 1:30 PM EDT
    Webinar
    Join us as we continue our celebration of the HDSI's 5th Anniversary with a Fireside Chat featuring women leaders from industry and academia who will discuss the role that data and data science can play in fostering inclusion, especially of women, in academia, tech, and the broader corporate world.
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  • Tutorial: Data Visualization
    Tutorial: Data Visualization
    Thu, Mar 24
    Boston
    Mar 24, 2022, 1:00 PM – 5:00 PM EDT
    Boston, SEC LL2.229 Classroom
    Mar 24, 2022, 1:00 PM – 5:00 PM EDT
    Boston, SEC LL2.229 Classroom
    Through a set of hands-on activities and a team-based design process, you will learn how to effectively visualize data for improved comprehension, communication, and decision making.
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  • Panel: Data Science Education | Leading the conversation and the democratization of data science
    Panel: Data Science Education | Leading the conversation and the democratization of data science
    Jan 18, 2022, 12:00 PM – 1:30 PM EST
    Webinar
    Panelists: Jo Boaler, Munther A Dahleh, John DeNero, Elena Grewal, and Clifford Stein. Moderator: Cathy Chute
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  • Keynote: Sir David Spiegelhalter
    Keynote: Sir David Spiegelhalter
    Tue, Dec 07
    Webinar
    Dec 07, 2021, 12:00 PM – 1:30 PM EST
    Webinar
    Dec 07, 2021, 12:00 PM – 1:30 PM EST
    Webinar
    Should we trust statistics about Covid?
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  • Panel: Personalized Health
    Panel: Personalized Health
    Tue, Nov 16
    Webinar
    Nov 16, 2021, 12:00 PM – 1:30 PM EST
    Webinar
    Nov 16, 2021, 12:00 PM – 1:30 PM EST
    Webinar
    A discussion on the successes and failures of precision medicine.
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  • Keynote: Megan T. Stevenson
    Keynote: Megan T. Stevenson
    Wed, Nov 03
    Webinar
    Nov 03, 2021, 12:00 PM – 1:15 PM
    Webinar
    Nov 03, 2021, 12:00 PM – 1:15 PM
    Webinar
    Megan T. Stevenson Associate Professor of Law, University of Virginia
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  • Keynote: Elizabeth Stuart
    Keynote: Elizabeth Stuart
    Tue, Oct 05
    Webinar
    Oct 05, 2021, 12:00 PM – 1:30 PM EDT
    Webinar
    Oct 05, 2021, 12:00 PM – 1:30 PM EDT
    Webinar
    The role of study design and data science when estimating causal effects in non-experimental studies Moderated by Rachel Nethery, Assistant Professor of Biostatistics at Harvard T.H. Chan School of Public Health
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GET IN TOUCH

8 Story Street, Suite 380
Cambridge, MA 02138

https://datascience.harvard.edu

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