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Reminder: Dean Follmann at 11 am EDT, Friday, June 12, Statistics and Modeling in Response to COVID-19 at NIAID

  • 1.  Reminder: Dean Follmann at 11 am EDT, Friday, June 12, Statistics and Modeling in Response to COVID-19 at NIAID

    Posted 06-10-2020 08:44
    Dear Colleagues,

    This is a reminder about the upcoming webinar this Friday in the
    series of "Data Science in Action in Response to the Outbreak of
    COVID-19":

    + Speaker: Dean Follmann, National Institute of Allergy and Infectious Diseases
    + Title: Statistics and Modeling in Response to COVID-19 at NIAID
    + Time: Friday, 06/12/2020, 11 am EDT
    + Password: 2020
    + Link: https://uconn-cmr.webex.com/uconn-cmr/onstage/g.php?MTID=ef5ed3803c3e9aadb9aebf2b61452c3d9

    See https://statds.org/events/webinar_dsa2020/schedule.html for details.
    + Recordings and slides of the past webinars are posted.
    + Registration is optional; those who registered will get two
    reminders before each event (which might end up in your spam folder).

    The next two webinars in the series are:

    + Friday, 06/19/2020, 11 am EDT, Dr. Yifan Zhu, Fred Hutchinson Cancer
    Research Center: A statistical transmission model for COVID-19
    outbreak, with adjustment of external factors
    + Friday, 06/26/2020, 11 am EDT, Dr. Kimia Ghobadi, Johns Hopkins
    University: The opportunities and challenges of healthcare systems in
    the COVID-19 era

    The series was initiated by the ASA Section on Statistical Learning
    and Data Science and the Journal of Data Science, and co-sponsored by
    the ASA Section on Statistical Computing, ASA Section on Statistics in
    Epidemiology, ASA Section on Statistical Graphics, National Institute
    of Statistical Science, New England Statistical Society, and
    Statistical Data Science Lab at UConn.

    The special issue on "Data Science in Action in Response to the
    Outbreak of COVID-19" of the Journal of Data Science
    (http://jds-online.org) is accepting submissions.

    Organizing Committee:
    Kun Chen, University of Connecticut (kun.chen@uconn.edu)
    Jing Cheng, University of California San Francisco (jing.cheng@ucsf.edu)
    Di Cook, Monash University (dicook@monash.edu)
    Mimi Kim, Albert Einstein College of Medicine (mimi.kim@einstein.yu.edu)
    Jun Yan (Co-Chair), University of Connecticut (jun.yan@uconn.edu)
    Hao Helen Zhang (Co-Chair), University of Arizona (hzhang@math.arizona.edu)


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