Dr. Jon Roginski Assistant Professor Program Manager - West Point Insider Threat Program Mathematical Sciences Network Science Center West Point Insider Threat Program jonathan.roginski [at] westpoint.edu About Education Research & Publications Jon Roginski is the program manager for the West Point Insider Threat Program, which serves as the "research arm" for the Pentagon-administered Army Insider Threat Program. The program considers threat research from a variety of different vectors: from the traditional (fraud, espionage, spillage) to the contemporary...a holistic approach creating an organizational ecosystem that is incompatible with threat.LTC(R) Roginski is a proud graduate of West Point’s class of 1996 with over 20 years of active service as a Military Policeman, Operations Research analyst, and Network Scientist: a Platoon Leader and Commander in the 10th Mountain Division, Commander, and Provost Marshal in Okinawa Japan, member of a think tank reporting directly to the Chief of Naval Operations, Operations Research and Systems Analysis leader at Fort Drum and Kandahar Afghanistan, an invited Network Science Professor at Singapore’s premier defense institute, and Assistant Professor of Mathematical Sciences at West Point with research thrusts in Insider Risk and Insider Threat, Network Science, and the Stop Soldier Suicide Movement. Ph.D., Applied Mathematics - Naval Postgraduate SchoolM.S., Operations Research - Naval Postgraduate SchoolB.S., Mathematical Sciences - United States Military Academy Research Interests Wellness, Resilience, Recruiting, Retention, Network Science, Decision Support Analytics, Simulation, Modeling, Sabermetrics Selected Publications Eslinger, Melissa R., Ryan E. Rodriguez, and Jonathan W. Roginski. “Genetic Testing: It’s a Relative Question.” National Center for Case Study Teaching in Science (2020)Towlson, Emma K., Lori Sheetz, Ralucca Gera, Jonathan W. Roginski, Catherine B. Cramer, Stephen Uzzo, and Hiroki Sayama"NiCE Teacher Workshop: Engaging K-12 Teachers in the Development of Curricular Materials That Utilize Complex Networks Concepts." Complicity: An International Journal of Complexity and Education 15, no. 1 (2018): 5-18DeGregory, K.W., P. Kuiper, T. DeSilvio, J.D. Pleuss, R. Miller, J. W. Roginski, C.B. Fisher et al. "A review of machine learning in obesity." Obesity reviews 19, no. 5 (2018): 668-685Gera, Ralucca, Jessica M. Libertini, Jonathan W. Roginski, and Anthony Zupancic. "The Network Profile Summary: exploring network science through the lens of student motivation." Journal of Complex Networks 6, no. 3 (2018): 470-484Roginski, Jonathan W., Ralucca Gera, and Erik Rye, “The Neighbor Matrix: Generalizing a Graph’s Degree Sequence.” Journal of Combinatorial Mathematics and Combinatorial Computing, v103 (2017): 249-265