@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.}",
year = "2019",
month = jan,
day = "1",
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",
note = "Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019 ; Conference date: 15-04-2019 Through 17-04-2019",
}