Ph.D., Information Technology
Dissertation: Policing in the AI Era: A Mixed-Methods Analysis of Police Adoption of Information Technology
I help organizations turn AI strategy into adoption.
Director of Corporate AI Solutions at Axon, with a background spanning public safety technology, software development, crime analysis, and applied research.
Michael Zidar leads corporate AI initiatives at Axon Enterprise, helping teams adopt generative AI and applied AI through enablement, upskilling, governance, internal tooling, and practical implementation support. His background spans policing technology, crime analysis, data platforms, software development, academia, and research on police adoption of information technology.
Director, Corporate AI Solutions at Axon Enterprise, leading company-wide AI enablement — upskilling teams, accelerating adoption, and building the practices that make AI real across the organization.
Turning strategy into repeatable practices through workforce enablement, upskilling, and implementation support.
Building responsible guardrails that help teams move with clarity instead of adding ceremonial paperwork.
Connecting models, developer workflows, and internal tools to real organizational problems.
Applying operational experience, research, and data systems expertise to technology adoption in public safety.
Dissertation: Policing in the AI Era: A Mixed-Methods Analysis of Police Adoption of Information Technology
Specialization in Data-Driven Public Safety and Technology Adoption
Cum Laude, Minor in Political Science
AI and technology consulting — helping organizations build AI strategies, develop internal tooling, and stand up enablement programs. Clients include the University of Colorado at Boulder, the National Police Institute, and other data-driven organizations.
Available for select advisory, research, speaking, and implementation engagements.
start a consulting conversation (opens LinkedIn in a new tab)(2023). Policing in the AI Era: A Mixed-Methods Analysis of Police Adoption of Information Technology. Doctoral dissertation, University of Cincinnati.
(2022). The community determinants of death: comparing the macro-level predictors of overdose, homicide, and suicide deaths, 2000 to 2015. Socius, 8.
(2021). A Framework for the Discipline of Information Technology. Proceedings of the 22nd Annual Conference on Information Technology Education.
(2020). Creating A Real-Time Geocoding System: Implications of Open Source for Public Safety. 2020 International Conference on Computational Science and Computational Intelligence (CSCI).
(2019). Superusers of Small-Town Police Resources. The Police Chief, 86(10).
(2018). Texting and Driving: Is It Just Moral Panic?. Deviant Behavior, 39(11).
(2017). Reframing an Obvious Police Problem: Discovery, Analysis, and Response to a Manufactured Problem in a Small City. Policing: A Journal of Policy and Practice.
(2017). Youth Attitudes Regarding Police Effectiveness and Trust in One Midsize City. The Police Chief, 84(10).