Dr. Jon Roginski Assistant Professor / Program Manager (Insider Threat) jonathan.roginski@westpoint.edu Biography 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. We want to build a better place to live and work so that people feel connected to and invested in their organization and an operate in an environment that is constructive, rather than confrontational. Importantly, we recognize that true loyalty is bi-directional. As much as we are working to facilitate people being connected to and invested in their organization, they must feel reciprocity: that their organization is connected to and invested in them. The approaches we are taking to affect this paradigm shift come at the edge of the human-machine partnership, recognizing the importance of the human in the loop leveraging advanced cognition enabled by contemporary tools, machines, and algorithms.LTC(ret) Roginski is a proud graduate of West Point’s class of 1996 with over 20 years of active service as 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, Gender Equality, and the Stop Soldier Suicide Movement. Ongoing Research Projects Umbrella Problem: How might we establish and/or maintain a healthy organizational atmosphere and culture to foster employee connection to and investment in the enterprise and feel that loyalty reciprocated in a way that demonstrates a contemporary partnership between human and machine so that the workforce is maximally protected from damage manifesting from within the organization?Mental Health, Recruiting, Retention: How do we articulate the relationship between mental health diagnoses, recruiting, and retention to Army leadership in a way that increases understanding of how behavioral factors extant at enlistment are indicative of retention or early separation so that our force's mental wellness and resilience is enhanced, while reducing the mental health burden on military communities? (OTSG, USUHS, AAG, RFL) Insider Threat Hub "Digital Twin": How might we create an operational "twin" of an Insider Threat hub for the Army or DoD in a way that current processes are replicated using completely synthetic data streams so that data science, artificial intelligence, and machine learning algorithms may be implemented and tested (and results visualized) in a virtual environment before being used on actual, sensitive data? (LMI, DA, DCSA, NITTF)Stop Solider Suicide: How do we build predictive algorithms for the DoD and VA in a way that leverages the digital footprints of veterans and service members who have died by suicide so that we can better understand suicide risk and, therefore, better identify SMV’s who need help. (https://stopsoldiersuicide.org)Supporting Hub Triage and Analysis: How do we synthesize data science, natural language processing, machine learning, and artificial intelligence methods for DoD and Army hubs in a way that strengthens the connection between human and machine in the contemporary environment in a way that maximally enables human analysts to do what they do best? (DA, DCSA, NITTF) Bringing the Periphery to the Core: How might we highlight policies and practices that (intentionally or unintentionally) create division within the workforce for our leadership in a way that highlights both the inequity and resolution so that those in the enterprise feeling disgruntled, disenchanted, or marginalized feel welcomed to the mainstream? (Army U, DA) Publications & Presentations Recent 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), available at Genetic Testing: It’s a Relative Question (nsta.org).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): 5-18, available from 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 (ualberta.ca).Thomas, Diana M., Krista Watts, Jonathan Roginski, Corby K. Martin, Steven Heymsfield, Leanne M. Redman, and Dale A. Schoeller. "Misrepresentation of the Pennington Biomedical Research Center Weight Loss Predictor." The American Journal of Clinical Nutrition 108, no. 4 (2018): 898-901 (available from Misrepresentation of the Pennington Biomedical Research Center Weight Loss Predictor | The American Journal of Clinical Nutrition | Oxford Academic (oup.com)).DeGregory, 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): 668-685 (available from A review of machine learning in obesity - DeGregory - 2018 - Obesity Reviews - Wiley Online Library).Gera, 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): 470-484 (available from Network Profile Summary: exploring network science through the lens of student motivation | Journal of Complex Networks | Oxford Academic (oup.com)).Roginski, 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 (available from The Neighbor Matrix: Generalizing A Graph’s Degree Sequence (nps.edu)).