Building Civil-Military Collaboration in Development and Stabilization Efforts
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Assessing Structural Patterns Among Warlord Groups
Support the construction and analysis of a longitudinal, multi-modal, and multi-dimensional agent-based model of two warlord groups. Given the dearth of existing rigorous inquiries, the analysis will limit its initial scope and will exclusively consider two inter-related conflicts, each of which contained several distinct warlord groups: the Liberian civil war (1991-1997) and the Sierra Leonean civil war (1991-2002).
Our algorithmic network science group explores network models in computer science, biology, physics, and mathematics with the intention of creating novel algorithms for the purpose of knowledge creation. On the application level, we are looking to apply this work to various problems in counter- insurgency, intelligence analysis, cyber-security, social networking, and biology.
Our efforts in the Biological Networks section of the Network Science Center at West Point include the generation of large biological data sets and applying novel and existing Social Network Analysis algorithms in an effort to characterize the network of interactions between the genes and metabolites studied experimentally. We are designing a Bioinformatics elective course to be taught to West Point cadets from various majors who share a desire to generate predictive models of various biological systems based on these data.
Understanding Complex Network Systems and Organizations
Network Determinates of Military Leadership Among Future Army Officers
US Military Cadet Communications and Leadership Network Dynamics (CadNet)
Using the environment in which entrepreneurs operate to develop network topologies in frontier markets.
Exposing the "Hidden Hand" in Historical Social Networks to Model Change
Use network analysis to model how Iranian entities involved in nuclear weapons production are adapting to and learning from the application of international sanctions
Preparing the next generation of network scientists and officers capable of operating effectively in a complex, network-centric environment as well as addressing the urgent needs to improve STEM education.
Medical and Casualty Prediction in Counter-Insurgency Operations
SCARE is the Spatio-Cultural Abductive Reasoning Engine is a piece of software that leverages a theory known as "geospatial abduction" to locate weapons caches in a counter-insurgency environment.
This project is designed to locate and trace the networks of capital that continue to fund Somali piracy.
Tool Kit for Decision-Makers
This project seeks to develop a tactical mobile cloud implemented on a swarm of heterogeneous, semi-autonomous robots to allow light infantry soldiers to access cyber resources away from the FOB.
Develop a "tool kit" or dashboard that will uses analytics to supply decision-makers with information to develop strategies and make effective decisions
The Pertubation of Genetic and Metabolomic Circuits in Response to and Environmental Contaminant
Network Analysis of Capital Markets in Developing Nations
Social Network Analysis of USMA Cadets and Officers
Statistical Changes: Actor Oriented Models to Detect Significant Behavioral and Social Changes Over Time