Webinar live video will be available below at 1:00 PM EST on April 27, 2017
As of 2010, women of color represented less than 6% of faculty members with STEM doctorates at four-year colleges and universities. This underrepresentation increases up the career ladder of the academy — at the rank of full professor, women of color constitute only 2.5% of faculty.
Despite public attention focused on addressing this underrepresentation, the voices of women of color who are in the STEM professoriate pipeline — or have exited — are often missing from the discussion.
Dr. Chanda Prescod-Weinstein, theoretical physics postdoctoral associate at the University of Washington, Seattle, will moderate this discussion with women of color scientists about the STEM pipeline, asking:
- Are we asking the right questions about STEM pipeline programs?
- Are STEM pipeline programs responding to the right questions and challenges?
- What leads women of color to exit the STEM professoriate pipeline?
- What research questions do women of color scientists suggest social science ask about the experiences and representation of women of color in the STEM professoriate?
- Dr. Evelynn Hammonds, Barbara Gutmann Rosenkrantz Professor of the History of Science and Professor of African and African American Studies and
Director, Project on Race & Gender in Science & Medicine, Hutchins Center for African and African American Research, Harvard University
- Dr. Donna J. Nelson, Professor of Chemistry at University of Oklahoma
- Dr. Jami Valentine, Primary Patent Examiner at the U.S. Patent and Trademark Office & founder of the website African American Women in Physics
Dr. Cynthia Hess, Associate Director of Research at Institute for Women’s Policy Research, will provide an overview of the latest data about the representation of women of color in the STEM professoriate at the beginning of the webinar.
Register for the webinar below and join the discussion on Twitter here with the hashtag #WOCinSTEM.
WATCH HERE LIVE AT 1:00 PM EST:
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This material is based upon work supported by the National Science Foundation under Grant No. NSF 16-552. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.