Modeling of Dense Urban Networks (MDUN)

This proposal is for Sequential Phase II development, testing and initial transition and commercialization of Perceptronics’ innovative system for Modeling of Dense Urban Networks (MDUN). In Phases I and II, we created a prototype MDUN tool capable of: analyzing available data sources about perceptions, sentiments (beliefs, values, etc.), experiences, and other sociocultural factors and processing these data through a proven set of objective variable metrics; reliably assessing the local population’s sentiment and behavior in a multifaceted way; forecasting the impacts, both direct and indirect, of courses of action on the sentiment and the behavior of the local populace; and identifying potential triggers or tipping points, critical thresholds where abrupt and dramatic changes might occur. Our Sequential Phase II project will: expand datasets which MDUN uses to support more complex analyses involving non-social variables; incorporate live social media data as well as potentially supplementing with on-the-ground surveys; enhance the analytics to include even more state of the art algorithms which were not available during earlier phases as well as to account for autocorrelative effects; develop the technology to TRL 7 or 8 including, but not limited to, DoD approved cloud deployment, automated insight generation, user experience, and exporting results; and design and use a set of real-world test cases to evaluate the predictive analytics accuracy. Test cases will be developed in collaboration with stakeholder and transition partners.