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Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities.

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Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities., , , , and . CoRR, (2020)Applications and Implications of Big Data for Demo-Economic Analysis: The Case of Call-Detail Records.. University of California, Berkeley, USA, (2016)Leveraging Open Algorithms (OPAL) for the Safe, Ethical, and Scalable Use of Private Sector Data in Crisis Contexts.. Data for Refugees Challenge, Springer, (2019)Trust, regulation, and human-in-the-loop AI: within the European region., , , and . Commun. ACM, 65 (4): 64-68 (2022)Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics., , , , , , and . Big Data, 3 (3): 148-158 (2015)Accurate intercensal estimates of energy access to track Sustainable Development Goal 7., , and . EPJ Data Sci., 11 (1): 60 (2022)Mobile phone data and COVID-19: Missing an opportunity?, , , , , , , , , and 14 other author(s). CoRR, (2020)Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon., , , , , , , and . Frontiers Big Data, (2022)Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey., , , , , , , and . Data for Refugees Challenge, Springer, (2019)