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SGSI 2020: Diversity and Inclusion in STEMM

Creativity, persistence, and knowledge thrive in diverse and inclusive environments. These skills are not only valuable in the humanities, but are crucial to success in science, technology, engineering, math, and medicine (STEMM). Despite decades of change, female researchers and researchers of color are few and far between. Learn what factors limit diversity and inclusion in STEMM and work in teams to invent interventions to counteract these factors.

Monday, Aug. 31 – Wednesday, Sept. 2, 9 AM - 11 AM & 1 PM - 2 PM; Thursday, Sept. 3, project team meetings, self-organized; Friday, Sept. 4, 9 AM - 11 AM & 1 PM - 4 PM

Instructors

  • Miriam B. Goodman, professor, Molecular and Cellular Physiology

Audience & Capacity

Open to all graduate students in any discipline, as well as postdoctoral scholars, if space allows. Will be most beneficial for individuals unfamiliar with social science research related to diversity and inclusion. Space is limited to 24.

Objectives

By participating fully in this course, you will:

  • Define and understand implicit and confirmation bias and its effect on diversity and inclusion in STEMM (science, technology, engineering, math, medicine) 
  • Learn how to read, interpret, and access primary social science literature
  • Explore how bias affects STEMM professionals and their research
  • Work in teams to design programs to support diversity and inclusion and decrease the impact of all forms of bias

Summary

Creativity, persistence, and knowledge thrive in diverse and inclusive environments. These skills are not only valuable in the humanities, but are crucial to success in science, technology, engineering, math, and medicine (STEMM). Despite decades of change, female researchers and researchers of color are few and far between. Learn what factors limit diversity and inclusion in STEMM and work in teams to invent interventions to counteract these factors. In class, learners will engage in small groups to discuss the implications of research related to unconscious bias, stereotype threat, and how they influence who thrives in STEMM and what research questions and applications gain attention.

Above all, this course seeks to empower learners with knowledge of social factors influence to life as a STEMM professional and leader in your field of choice. Previous DAIS minicourse learners have launched programs for secondary graduate mentors, redesigned graduate admissions, hosted workshops on diversity and inclusion, among other activities emerging from class projects. 

Additional Course Expectations

  • Students will complete about 30 minutes of reading outside of class each day.
  • Full attendance is expected.

Apply Here

SUNet ID required to log in; all SGSI correspondence sent to your Stanford email account.

Resource Type: 
Course or Workshop
Target Audience: 
All Graduate Students, Postdoctoral Scholars
Intensity: 
Time Commitment: 
Learning Experience: