de Mooij, JanDell’Anna, DavideBhattacharya, ParantapaDastani, MehdiLogan, BrianSwarup, Samarth2023-08-242023-08-242022de Mooij, J, Dell’Anna, D, Bhattacharya, P, Dastani, M, Logan, B & Swarup, S 2022, 'Using Agent-Based Simulation to Investigate Behavioral Interventions in a Pandemic : Simulating Behavioral Interventions in a Pandemic', CEUR Workshop Proceedings, vol. 3182. < https://ceur-ws.org/Vol-3182/paper7.pdf >1613-0073ORCID: /0000-0003-0648-7107/work/161798112https://hdl.handle.net/2164/21540We thank Cuebiq; mobility data is provided by Cuebiq, a location intelligence and measurement platform. Through its Data for Good program, Cuebiq provides access to aggregated mobility data for academic research and humanitarian initiatives. This first-party data is collected from anonymized users who have opted-in to provide access to their location data anonymously, through a GDPR and CCPA compliant framework. To further preserve privacy, portions of the data are aggregated to the US Census block group level. PB and SS were supported in part by NSF Expeditions in Computing Grant CCF-1918656. Publisher Copyright: © 2021 Copyright for this paper by its authors.8756041engAgent-based Computational EpidemiologyAgent-based ModelingBelief-Desire-IntentionComplex Social SimulationMulti-agent SimulationNormative ReasoningPolicy EvaluationSynthetic PopulationQA76 Computer softwareGeneral Computer ScienceQA76Journal itemhttps://www.scopus.com/pages/publications/85137105830https://ceur-ws.org/Vol-3182/https://ceur-ws.org/Vol-3182/paper7.pdf