SSDAN Virtual Workshop

This March, the Social Science Data Analysis Network (SSDAN) at the University of Michigan’s Population Studies Center will host a virtual workshop.

Using the Census and American Community Survey in Undergraduate Courses
Workshop 1: Friday, March 17, 3 – 4 pm EDT
Workshop 2: Friday, March 24, 3 – 5 pm EDT
To apply, submit the application by February 24, 2023.

Workshop participants should come prepared to develop one or more class modules to enrich a course they already teach. During the workshop, virtual participants will be introduced to the resources of SSDAN and work with SSDAN staff to develop easy-to-use classroom exercises specific to their own courses.

Workshop sessions will include seminar discussions, introduction to instructional videos, practice exploring the SSDAN materials, and working with staff to develop individual exercises. The faculty will include sociologist-demographer William Frey of University of Michigan’s Population Studies Center and Brookings Institution, Professor Jill Bouma of Berea College and Professor Esther Wilder of Lehman College.

Through SSDAN, workshop attendees are expected to create and share a learning exercise module using ACS data and use it in an undergraduate course over the subsequent year. Those who fulfill these goals will receive an honorarium of $400 and a certificate of completion. To apply, submit the application by February 24, 2023. The application takes approximately 15 minutes for most to complete. Successful applicants will be notified of their acceptance by early March.

Instructors from all disciplines who teach undergraduate courses in four-year colleges, two-year colleges, or universities, both public and private, are encouraged to apply. Graduate student instructors are also welcome. Primary consideration will be given to applicants who are prepared to develop class exercises from the SSDAN materials and use them in their courses during the academic year subsequent to the workshop.

For information contact [email protected].


Mar 17 2023


3:00 pm - 4:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Mar 17 2023
  • Time: 11:00 am - 12:00 pm
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