Working Together
to be Safer
to be Safer
CADET MaRS RESEARCH PROJECTS
Cadet Saleem Ali (Draper Fellowship, NSF Fellowship), COL Lindquist, MAJ Deverill, Dr. Roginski
NATURAL LANGUAGE PROCESSING OF ARMY INSIDER THREAT HUB DATA
Cadet Joshua Blackmon (GEM Scholarship), Dr. Roginski, Dr. Wolf, AAG RFL
INSIDER THREAT:
CRIMINAL RECIDIVISM
This research delves into the relationship between criminal recidivism and insider threat risk, particularly within the U.S. Army. The methodology employed in this research focused on machine learning techniques but now emphasizes Generalized Linear Models (GLMs), to analyze the data and identify predictors of recidivism, which we then relate to Insider Threat.
Cadet Sydney Watson, Dr. Roginski, LTC Moore, Dr. Babin, Army University
PARTICIPATION OF WOMEN IN THE WORKFORCE: AN INDICATOR OF INVISIBLE BARRIERS
A study attempting to understand the current landscape of women’s participation in the U.S. workforce, in 2022 by examining factors like means of transportation, state, and government assistance. Gaining insight into factors that impact women’s workforce participation serves to better guide policy and inform leaders on how to facilitate an inclusive workplace.
Cadet Kayla Teuscher, Dr. Roginski, Dr. Hoge (USUH). Maj Donoho & Dr. Wolf (AAG RFL)
THE OCCUPATIONAL BURDEN OF MENTAL HEALTH DISORDERS IN THE U.S. MILITARY
We analyze the Army’s separation landscape from 2008-present for the office of the surgeon general in a way that enables understanding of the mental health diagnosis – readiness relationship so that we improve recruiting and retention to reduce first term attrition, burdens on the health care system, and impact on Army units.
Cadet Samin Kim, LTC Nelson, Dr. Roginski, Dr. Horio, LMI
DATA FUSION ENTERPRISE: BUILD AN ARCHITECTURE FOR AUTOMATING HUB PROCESSES
This research provides a comprehensive proof of concept for automating hub processing in the Insider Threat Hub by developing a pipeline that harmonizes sensor-based decision support for soldiers in battlefield conditions. The model ingests data from several wearable technology stream for real-time health monitoring, analogous to hub processes ingesting disparate data streams for analysis and report of Insider risk likelihood.
Cadet Saleem Ali (Draper Fellowship, NSF Fellowship), COL Lindquist, MAJ Deverill, Dr. Roginski
NATURAL LANGUAGE PROCESSING OF ARMY INSIDER THREAT HUB DATA
Cadet Joshua Blackmon (GEM Scholarship), Dr. Roginski, Dr. Wolf, AAG RFL
INSIDER THREAT:
CRIMINAL RECIDIVISM
This research delves into the relationship between criminal recidivism and insider threat risk, particularly within the U.S. Army. The methodology employed in this research focused on machine learning techniques but now emphasizes Generalized Linear Models (GLMs), to analyze the data and identify predictors of recidivism, which we then relate to Insider Threat.
Cadet Sydney Watson, Dr. Roginski, LTC Moore, Dr. Babin, Army University
PARTICIPATION OF WOMEN IN THE WORKFORCE: AN INDICATOR OF INVISIBLE BARRIERS
A study attempting to understand the current landscape of women’s participation in the U.S. workforce, in 2022 by examining factors like means of transportation, state, and government assistance. Gaining insight into factors that impact women’s workforce participation serves to better guide policy and inform leaders on how to facilitate an inclusive workplace.
Cadet Kayla Teuscher, Dr. Roginski, Dr. Hoge (USUH). Maj Donoho & Dr. Wolf (AAG RFL)
THE OCCUPATIONAL BURDEN OF MENTAL HEALTH DISORDERS IN THE U.S. MILITARY
We analyze the Army’s separation landscape from 2008-present for the office of the surgeon general in a way that enables understanding of the mental health diagnosis – readiness relationship so that we improve recruiting and retention to reduce first term attrition, burdens on the health care system, and impact on Army units.
Cadet Samin Kim, LTC Nelson, Dr. Roginski, Dr. Horio, LMI
DATA FUSION ENTERPRISE: BUILD AN ARCHITECTURE FOR AUTOMATING HUB PROCESSES
This research provides a comprehensive proof of concept for automating hub processing in the Insider Threat Hub by developing a pipeline that harmonizes sensor-based decision support for soldiers in battlefield conditions. The model ingests data from several wearable technology stream for real-time health monitoring, analogous to hub processes ingesting disparate data streams for analysis and report of Insider risk likelihood.
Research
West Point Insider Threat Program research supports the extension of the current state of knowledge in the fields of insider risk and insider threat by supporting undergraduate, graduate, and post-doctoral research.
MIROR Journal
The Managing Insider Risk & Organizational Resilience (MIROR) Journal is a scholarly Open Access journal published by the West Point Press, the publishing arm of the United States Military Academy.
Podcast
West Point Press podcasts go beyond the textbook to give you a deeper understanding of the complex issues shaping the modern battlefield. Get inside access to West Point’s work and see how it’s being applied today.
Mailing Address | OFFICIAL BUSINESS
Department of the Army
ATTN: Jon Roginski, MADN-MTH
646 Swift Road West Point, NY 10996