BIP! Finder - Data-driven Simulation and Optimization for Covid-19 Exit Strategies

2020 • Data-driven Simulation and Optimization for Covid-19 Exit Strategies

Authors: Ghamizi, Salah; Rwemalika, Renaud; Cordy, Maxime; Veiber, Lisa; Bissyandé, Tegawendé F.; Papadakis, Mike; Klein, Jacques; Le Traon, Yves

Venue: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Type: Publication

Abstract: The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all governments worldwide to take drastic measures to respond to the tragedy. Chief among those measures is the massive lockdown of entire countries and cities, which beyond its global economic impact has created some deep social and psychological tensions within populations. While the adopted mitigation measures (including the lockdown) have generally proven useful, policymakers are now facing a critical question: how and when to lift the mitigation measures? A car... (read more)

Topics: Risk analysis (engineering) Operations research Computer security

DOI: 10.1145/3394486.3412863

BIP! social metrics: 0 14
External links: Crossref OpenAIRE

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