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Integrating Statistics & Data Science Environments in Academic Departments Panel

  • 1.  Integrating Statistics & Data Science Environments in Academic Departments Panel

    Posted 11-29-2022 11:25
    Panel on Integrating Statistics & Data Science Environments in Academic Departments
    This Wednesday, November 30, 2022  -  11:00am-12:30pm ET
    Academic departments have recently decided to either merge Statistics and Data Science in one degree or change their department's name to Data Science, leaving out Statistics completely. NISS has put together a panel with four speakers in academia to discuss recent changes in academic departments as well as identify the reasons why these changes are occurring.
       Register now!
    Panelists will discuss how undergraduate, graduate, and professional data science programs are organized at their campuses. Then discussion will center around the following topics:
       • Important curricular topics that should be included in a data science program.
       • Key decisions that need to be made in starting up or sustaining a data science program.
       • The strengths and weaknesses of the organization of data science programs.

    Additional topics for discussion include the growth both in student enrollment and in terms of faculty with research interests and expertise to support these programs? What about the visibility and support of traditional statistics programs relative to the newer data science programs? For instance, have faculty who developed their statistics careers before the data science revolution adapted to the changes that data science has brought with respect to the type of research and the course curriculum within their departments? Real Questions - Great Conversation! You'll not want to miss this session!
    Speakers
      Heike Hofman, Iowa State University
      Funda Gunes, Duke University
      Rachel (Ray) Levy, North Carolina State University
      Alex Yu, Azusa Pacific University
    Moderator
      Dan Jeske, University of California, Riverside


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    Randy Freret
    National Institute of Statistical Sciences
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