CREATE has complied resources to support Women in Energy. These resources are designed to bring awareness to women’s accomplishments and the issues women face working in the Energy field.
Attendees pinpointed
necessary actions to prevent redundant or fragmented green workforce efforts. The outcomes provide insights into what specific organizations must do to address gaps in the green workforce structure and programs, effectively scale them up, and ultimately drive forward an inclusive, green economy.
Award-winning children’s book authors Erin Twamley and Joshua Sneideman have teamed up with business author and CEO of ALLY Energy, Katie Mehnert, for a new book, Everyday Superheroes: Women in Energy Careers. This multicultural children’s book delves into the colorful careers, stories, and superpowers of 26+ diverse women who are powering our planet.
Clean energy has a diversity problem. This report breaks down the diversity issues and makes policy recommendations to support women and other diverse populations in the energy workforce.
Abstract
The labor market demand for individuals with STEM skills and degrees continues to grow in the United States and other countries. However, the gap between men and women in these fields persists, with fewer women participating in STEM education or pursuing STEM careers. For years, programs have been implemented nationwide in school and after school to engage girls, foster interest in STEM, and increase participation in STEM education. However, these programs are often grant-funded, time-limited, and lack long-term sustainability. In 2020, the Regional Center for Nuclear Education and Training (RCNET), housed at Indian River State College, launched a Girls in STEM program. This program initially engaged three high school girls to work collaboratively to research, create, and disseminate short videos interviewing women working in STEM. Now, as college students, they share their perspectives on the project, its impacts, and recommendations for the future of this work
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This material is based upon work supported by the National Science Foundation under Grant #2201631. 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 ScienceFoundation.