NSF RESET 2021 Conference
Re-Enter STEM through Emerging Technology
THU, MARCH 4 – SAT, MARCH 6, 2021
NATIONAL SCIENCE FOUNDATION INCLUDES CONFERENCE
We successfully ended 2021 NSF RESET Virtual Conference. We thank the National Science Foundation (NSF) for the sponsorship and all community members for their participation. We believe this is just the beginning of the change in EmTech pipeline through (re-)entry of women.
The number of jobs in our country requiring substantial STEM expertise has grown nearly 34 percent over the past decade and employers say they are having trouble filling jobs in occupations that depend on skilled technical workers. Returning women and women veterans are a pool of talented individuals who can fill STEM jobs nationwide. The NSF RESET 2021 conference will support the re-entry of women and women veterans in STEM, especially in Emerging Technology (EmTech) fields, such as cybersecurity, data science, mobile development, and cloud computing.
The goal of this conference is to explore and discuss challenges encountered by returning women with the objective of better understanding their situations and identifying solutions to their problems in accessing EmTech education and employment. In addition to the many women students who will participate in the conference, there will also be presenters and invited participants from industry, NSF INCLUDES Alliances, social science and policy fields, and from support organizations, such as university veteran’s affairs and academic services offices at universities.
Identify the barriers for returning women to enter EmTech education and workforce
Inform best practices to create effective re-entry strategies in EmTech for returning women
Connect with scholars, policy makers and leaders to make change in EmTech
Want to know more about the organizers?
Meet our amazing speakers
Partial support for this work is provided by the National Science Foundation Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) program under Award No.1953431and 1932662. 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.