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Rethinking the Bottleneck in Diversifying the Cybersecurity Talent Pool: What Actions can We Take and How can We Measure Success?

Published:03 March 2022Publication History

ABSTRACT

Although the number of cybersecurity programs is increasing, the field remains challenged in sourcing talent, particularly among underrepresented groups (URGs). The need for inclusion and diversity is critical to a better workforce and to better problem solving which is critical in cybersecurity. Many people want to contribute to diversifying cybersecurity but don't know where/how to start. In this BoF session, participants will explore the following questions: (1) what are the most significant barriers preventing wider diversity in cybersecurity, (2) what are the most significant enablers to increase URGs participation in cybersecurity, (3) what are some actionable items to improve the diversity landscape in cybersecurity, and (4) how to measure the success of these actions. Participants should exit this session with a better understanding on what change they can make to have a positive impact on diversifying the cybersecurity workforce at their institution. This BoF will plant a seed for a community of educators who want to contribute to the cybersecurity diversification effort through evidence-based interventions. A summary of the BoF discussion will be disseminated publicly and shared with the BoF participants for possible future collaboration. The BoF facilitators will create a working group for the participants to follow up on diversification efforts and will hold periodic virtual meetings to discuss contributions, observations, outcomes and recommendations.

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  1. Rethinking the Bottleneck in Diversifying the Cybersecurity Talent Pool: What Actions can We Take and How can We Measure Success?

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          • Published in

            cover image ACM Conferences
            SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
            March 2022
            254 pages
            ISBN:9781450390712
            DOI:10.1145/3478432

            Copyright © 2022 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 3 March 2022

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