Current Projects:
Building Civil-Military Collaboration in Development and Stabilization Efforts
Click here to visit the project's website.
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.
The Pertubation of Genetic and Metabolomic Circuits in Response to and Environmental Contaminant
Understanding Complex Network Systems and Organizations
Network Determinates of Military Leadership Among Future Army Officers
US Military Cadet Communications and Leadership Network Dynamics (CadNet)
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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
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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.
This project seeks to develop a tactile 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
Previous Projects:
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
Connections:
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