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Track: Simulation

Recruiting and Developing Generation Z: An Innovative Mixed-methods Approach

Wednesday, April 14, 1-1:40pm EDT

“Generation Z”, currently aged 11 to 25 is considered to be different from preceding generations in many meaningful ways. Anecdotal evidence points to major shifts in life priorities, values, aptitude, communication patterns, health, and wellbeing of American youth in the past decade. Major organizations in both business and government understand that to meet their future manpower requirements, they need to adjust their approach to attract and develop Generation Z youth. Using an innovative approach combining data analysis, agent-based simulation, stakeholder interviews and literature meta-analysis we formulated a set of recommendations to better understand training and recruiting and to mitigate challenges related to characteristics of Generation Z recruits.

Peter Revay image

Peter Revay

Peter Revay

Research Scientist at Group W Inc.

Peter Revay is a Research Scientist at Group W Inc. Dr. Revay’s interests focus on complex social systems, namely the evolution and diffusion of social norms and culture. He has explored this topic using tools such as agent-based simulation, network theory, and social network analysis. Dr. Revay earned his doctorate in Computational Social Science at George Mason University. He has previous background in sociology and applied mathematics.

Dr. Revay has previously presented at the 2016 Conference of the Computational Social Science Society of the Americas, at the 2017 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and behavior Representation in Modeling and Simulation (SBP-BRiMS), and at the 2020 Military Operations Research Society Symposium (MORSS).