DEI in CS Seminar: Jeff Forbes
Speaker
Jeff Forbes
NSF Program Director for Education and Workforce and Broadening Participation in Computing
When
-
Where
livestream
Description
“Exploring the National Science Foundation’s Work in Broadening Participation in Computing”
The National Science Foundation’s Directorate for Computer & Information Science & Engineering (CISE) is committed to addressing the longstanding underrepresentation of various populations— including women, African Americans, Hispanics, American Indians, Alaska Natives, Native Hawaiians, Pacific Islanders, and persons with disabilities— in computing disciplines. CISE encourages principal investigators to develop and submit plans to detail how they will broaden participation in computing (BPC) as part of their CISE research projects. This talk will provide an overview of CISE’s efforts in BPC, inform participants about the components of a meaningful BPC project and departmental plan, highlight ongoing and successful BPC activities, and discuss opportunities for funding of BPC including supplements, demonstration projects, and alliances.
Speaker's Bio
Jeff Forbes is the lead Program Director for the Education & Workforce program in the National Science Foundation's Directorate for Computer & Information Science & Engineering (NSF CISE), managing programs that address the critical and complex issues of education and broadening participation in computing. He is currently the Director of Research & Policy for the Constellations Center for Equity in Computing at Georgia Tech. From 2001-2019, Jeff was on the faculty of Duke University where he was an Associate Professor of the Practice of Computer Science. He received his BS and PhD in computer science from Stanford University and the University of California, Berkeley, respectively. His research interests include computer science education, social information processing, and learning analytics.
See the rest of the DEI in SCS Speaker Series schedule: http://www.cs.cmu.edu/dei/dei-seminars/
Host
School of Computer Science