Copyright 2020: International Association of Virtual Organizations, Inc. All rights reserved.
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.
