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TempusTEC™  (Tracking  Event  Chains) will analyze how blue force response changes the way in which adversarial groups decide to carry out future acts of violence – thus being able to quantify and predict how particular responses encourage or disrupt event chains and cause shifts in the decision-making processes. The systems utilizes the following: 

Estimation of Markov Chain Models

Parsing Event Chains

Model Translation

Evaluating Predictive Capability  

User Profile: social scientists, communications network analysts, intelligence analysts, effects-based operations personnel, and human behavioral modelers. 

Our behavioral sciences software is focused on prototype and experimental development aligned with specific use cases. The themes represent the following focus areas: 

Behavioral and Decision Modeling 

Social Network Analysis 

Geospatial Analysis of Human Phenomena 

The current ongoing and legacy portfolio consists of multiple complimentary software programs.  

Systems Development: Behavioral Modeling and Analysis

ISRModeler™  is a causal modeling application suite that focuses on analyzing latent attributes of actors and processes within a battlespace, which directly and indirectly influence tactical level interactions and dynamics.  ISRModeler  utilizes the following: 

Path Effects Models 

Structural Equation Models

Growth Mixture Models  

User Profile: Social scientists, intelligence analysts, effects-based operations personnel, and human behavioral modelers. 

CulturalISR™  is an advanced socio-temporal performance modeling and simulation framework which  integrates the strengths of human behavioral social scientific theories with advanced quantitative abilities to clearly and succinctly forecast the decision-making of individuals-of-interest.  CulturalISR utilizes the following: 

Discrete Time Hazard Models

Multi-Latent Group Structural Equation Modeling

Hidden Markov Processes Application  

User Profile: Social scientists, field officers, intelligence analysts, effects-based operations personnel, and human behavioral modelers.

PrismaCSN™  (CSN: Complex Social Network) is a hybrid methodology that harnesses the strengths of several data analysis processes that produce plans of action for how to best interact with complex social networks, discovering how to alter the actions of its interrelated members to generate new behavioral patterns which are consistent with mission planning objectives. The software utilizes the following   

Feature Space Definition

Expectation Maximization Classification of Actor

Quadratic Discriminant Analysis

Causal Models 

User Profile: Social network scientists, social scientists, intelligence analysts, effects-based operations personnel, and human behavioral modelers. 

CMSEM™  (Computational Multi-level Structural Equations Model) a modeling tool using Bayesian network models, latent variable models and error models in order to detect and expose hidden enemy networks, specifically for use in large sets of communication data using 

Bayesian Networks

Error Models

Causal Models  

User Profile: social scientists, communications network analysts, intelligence analysts, effects-based operations personnel, and human behavioral modelers.