@inproceedings{6d35d2fbae4240f9af1d0c213f15d58e,
title = "Information fusion to estimate resilience of dense urban neighborhoods",
abstract = "Diverse sociocultural influences in rapidly growing dense urban areas may induce strain on civil services and reduce the resilience of those areas to exogenous and endogenous shocks. We present a novel approach with foundations in computer and social sciences, to estimate the resilience of dense urban areas at finer spatiotemporal scales compared to the state-ofthe-art. We fuse multi-modal data sources to estimate resilience indicators from social science theory and leverage a structured ontology for factor combinations to enhance explainability. Estimates of destabilizing areas can improve the decision-making capabilities of civil governments by identifying critical areas needing increased social services.",
keywords = "Behavior modeling, Dense urban areas, Situation/threat assessment, Social capital, Social/cultural modeling",
author = "Anthony Palladino and Bienenstock, {Elisa J.} and West, {Bradley M.} and Nelson, {Jake R.} and Grubesic, {Tony H.}",
note = "Funding Information: This research was supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. 140D16318C0063, and this paper has been approved with Distribution Statement A (Approved for Public Release, Distribution Unlimited). The views, opinions, and/or findings contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of DARPA or the U.S. Government Funding Information: The authors would like to thank the SPIE 2019 Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII conference organizers and the anonymous referees for their valuable comments. Map data copyright by OpenStreetMap contributors and available from https://www.openstreetmap.org. This research was supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. 140D16318C0063, and this paper has been approved with Distribution Statement “A” (Approved for Public Release, Distribution Unlimited). The views, opinions, and/or findings contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of DARPA or the U.S. Government. Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019 ; Conference date: 15-04-2019 Through 17-04-2019",
year = "2019",
doi = "10.1117/12.2519304",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Ivan Kadar and Blasch, {Erik P.} and Grewe, {Lynne L.}",
booktitle = "Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII",
}