You are here

REsilience & Stability In DENse Terrains (RESIDENT)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: 140D6318C0063
Agency Tracking Number: D17C-003-0025
Amount: $224,878.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST17C-003
Solicitation Number: 17.C
Timeline
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-28
Award End Date (Contract End Date): 2019-11-16
Small Business Information
70 Westview Street Suite 100
Lexington, MA 02421
United States
DUNS: 965530517
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Anthony Palladino
 Sr. Research Scientist
 (617) 583-5730
 anthony.palladino@bostonfusion.com
Business Contact
 Richard Salvage
Phone: (617) 583-5730
Email: rich.salvage@bostonfusion.com
Research Institution
 Arizona State University
 Kimberly Habiger Kimberly Habiger
 
411 N. Central Avenue (Downtown Campus) Suite 750
Phoenix, MA 85004
United States

 (480) 727-8648
 Nonprofit college or university
Abstract

Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematical models of urban stability at multiple socio-cultural and geo-spatial scales. We will advance the state-of-the-art in stability situational awareness and predictive capabilities by simultaneously encapsulating multiple computational social models within a single framework. During Phase I, we will develop an adaptive ontology of stability indicators using a multi-layer graph representation. We will develop innovative methods for near real-time data ingestion, entity and event extraction, model selection and execution, and socio-behavioral factor synthesis. In Phase II, we will refine and harden our algorithms, extend our framework to include additional stability and resilience models, extend the analysis to simultaneously encompass multiple geo-spatial and temporal scales, and work with transition partners throughout the Phase II effort to ensure transition success.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government