Measuring Progress in Conflict Environments (MPICE) Modeling and Simulation Toolchest and Analysts Work Environment

The 21st century strategic threat triad – failed states, global terrorism, and WMD proliferation – represents the greatest modern day threat. The common factor exacerbating this threat triad is instability. DoD is striving to identify metrics to assess progress towards stability. The Measuring Progress in Conflict Environments (MPICE) program has made gains by structuring stability indicators into five ‘pillars’ and classifying events from a wide range of data sets. While MPICE provides a framework across these pillars and initial data collection and analysis techniques, it currently does not include ‘social well-being’ indicators; state-of-the-art qualitative analysis techniques or integration algorithms; or capability to determine if activities ‘on the ground’ are achieving desired effects. Securboration has teamed with Dr. Eugene Santos from Dartmouth University and Dr. Eunice Santos from Virginia Tech to develop the MPICE Analytical Stability Model (MASM). Advancements by these professors in computational social sciences, coupled with Securboration’s expertise enable our team to supplement MPICE with 1) ‘social-well being’ indicators, 2) a coherent computational model and 3) a formalized model of semantic relationships among stability indicators across pillars. The result will be an MPICE that provides unprecedented insight into stability progress – through detailed understanding forces behind MPICE indicators, including effects from actions by U.S. Government.