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REsilience & Stability In DENse Terrains (RESIDENT)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: 140D0420C0004
Agency Tracking Number: D2-2292
Amount: $1,499,928.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: ST17C-003
Solicitation Number: 17.C
Timeline
Solicitation Year: 2017
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-18
Award End Date (Contract End Date): 2021-12-17
Small Business Information
70 Westview Street Suite 100
Lexington, MA 02421
United States
DUNS: 965530517
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Anthony Palladino
 Principal 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
 
P.O. Box 876011
Tempa, AZ 85287
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-modal, 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, geo-spatial, and temporal 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 developed a structured ontology of stability indicators, implemented a quantitative social science model in software, and proved the concept with real-world open-source data for two use-case locations. In Phase II, we will extend the ontology to include additional universal social science theories as resilience indicators, implement them in software and use real-world data to quantify resilience for multiple dense urban environments. In addition, we will develop a novel, supplementary approach to measuring resilience based on wastewater biomarkers. We will refine and harden our algorithms and work with transition partners throughout the Phase II effort to ensure transition success.

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

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