RQ Labs: A Cybersecurity Workforce Talent Program Design
Document Type
Conference Proceeding
Publication Date
2022
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-030-97532-6_10
Abstract
This research contributes to the knowledge of how Information Systems (IS) researchers can iteratively intervene with practitioners to co-create instructional programs for fast-paced, rapidly changing IS fields such as cybersecurity. We demonstrate how complex fields such as cybersecurity have the need for a talented workforce which continues to rapidly outpace supply from Universities. IS researchers partnering with practitioners can use this research as an exemplar of a method to design, build and evaluate these innovative co-curricular IS programs.
Citation / Publisher Attribution
RQ Labs: A Cybersecurity Workforce Talent Program Design, in R. Krishnan, H. R. Rao, S. K. Sahay, S. Samtani & Z. Zhao (Eds.), Secure Knowledge Management In The Artificial Intelligence Era, Springer International Publishing, p. 171-185
Scholar Commons Citation
Daniel, Clinton; Mullarkey, Matthew T.; and Agrawal, Manish, "RQ Labs: A Cybersecurity Workforce Talent Program Design" (2022). School of Information Systems and Management Faculty Publications. 55.
https://digitalcommons.usf.edu/qmb_facpub/55
