001437344 000__ 04687cam\a2200577\i\4500 001437344 001__ 1437344 001437344 003__ OCoLC 001437344 005__ 20230309004143.0 001437344 006__ m\\\\\o\\d\\\\\\\\ 001437344 007__ cr\un\nnnunnun 001437344 008__ 210615s2021\\\\sz\a\\\\o\\\\\000\0\eng\d 001437344 019__ $$a1256237839$$a1262380417 001437344 020__ $$a9783030763978$$q(electronic bk.) 001437344 020__ $$a3030763978$$q(electronic bk.) 001437344 020__ $$z9783030763961 001437344 020__ $$z303076396X 001437344 0247_ $$a10.1007/978-3-030-76397-8$$2doi 001437344 035__ $$aSP(OCoLC)1256541860 001437344 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dN$T$$dOCLCF$$dOCLCQ$$dOCLCA$$dOCLCO$$dOCLCQ 001437344 049__ $$aISEA 001437344 050_4 $$aHN29.5$$b.S63 2021 001437344 08204 $$a301$$223 001437344 24500 $$aSocial simulation for a crisis :$$bresults and lessons from simluating the COVID-19 crisis /$$cFrank Dignum, editor. 001437344 264_1 $$aCham :$$bSpringer,$$c[2021] 001437344 264_4 $$c©2021 001437344 300__ $$a1 online resource :$$billustrations (chiefly color) 001437344 336__ $$atext$$btxt$$2rdacontent 001437344 337__ $$acomputer$$bc$$2rdamedia 001437344 338__ $$aonline resource$$bcr$$2rdacarrier 001437344 4901_ $$aComputational social sciences,$$x2509-9574 001437344 5050_ $$aPart 1. ASOCC Theory and Platform -- Chapter 1. Introduction -- Chapter 2. Foundations -- Chapter 3. From Theories to Implementation -- Chapter 4. Simulation Use -- Part II. Scenario's and Submodels -- Chapter 5. Closing of Schools -- Chapter 6. Testing & Smart Testing -- Chapter 7. Deployment and Effects of an App for Tracking and Tracing Contacts -- Chapter 8. How Culture Influences the Management of a Pandemic: Simulating the Effect of Culture on the Effective Management of the COVID-19 crisis, -- Chapter 9. Economics -- Chapter 10. Exit Strategies -- Part III. Results and Lessons Learned -- Chapter 11. Extensible Model-Building in Crises -- Chapter 12. Comparative Validation of Simulation Models for the COVID-19 Pandemic -- Chapter 13. Supporting Policy Makers in a Crisis -- Chapter 14. From Crisis to Resilience Support -- Chapter 15. Challenges and Issues -- Chapter 16. Conclusions. 001437344 506__ $$aAccess limited to authorized users. 001437344 520__ $$aSimulating for a crisis is far more than creating a simulation of a crisis situation. In order for a simulation to be useful during a crisis, it should be created within the space of a few days to allow decision makers to use it as quickly as possible. Furthermore, during a crisis the aim is not to optimize just one factor, but to balance various, interdependent aspects of life. In the COVID-19 crisis, decisions had to be made concerning e.g. whether to close schools and restaurants, and the (economic) consequences of a 3 or 4-week lock-down had to be considered. As such, rather than one simulation focusing on a very limited aspect, a framework allowing the simulation of several different scenarios focusing on different aspects of the crisis was required. Moreover, the results of the simulations needed to be easily understandable and explainable: if a simulation indicates that closing schools has no effect, this can only be used if the decision makers can explain why this is the case. This book describes how a simulation framework was created for the COVID-19 crisis, and demonstrates how it was used to simulate a wide range of scenarios that were relevant for decision makers at the time. It also discusses the usefulness of the approach, and explains the decisions that had to be made along the way as well as the trade-offs. Lastly, the book examines the lessons learned and the directions for the further development of social simulation frameworks to make them better suited to crisis situations, and to foster a more resilient society. 001437344 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 21, 2021). 001437344 647_7 $$aCOVID-19 Pandemic$$d(2020- )$$2fast$$0(OCoLC)fst02024716 001437344 650_0 $$aCrises$$xSocial aspects$$xSimulation methods. 001437344 650_0 $$aCrisis management$$xSimulation methods. 001437344 650_0 $$aCOVID-19 Pandemic, 2020-$$xSimulation methods. 001437344 650_6 $$aCrises (Sciences sociales)$$xAspect social$$xMéthodes de simulation. 001437344 650_6 $$aGestion de crise$$xMéthodes de simulation. 001437344 650_6 $$aPandémie de COVID-19, 2020-$$xMéthodes de simulation. 001437344 655_0 $$aElectronic books. 001437344 7001_ $$aDignum, Frank,$$d1961-$$eeditor. 001437344 77608 $$iPrint version:$$z303076396X$$z9783030763961$$w(OCoLC)1246350401 001437344 830_0 $$aComputational social sciences.$$x2509-9574 001437344 852__ $$bebk 001437344 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76397-8$$zOnline Access$$91397441.1 001437344 909CO $$ooai:library.usi.edu:1437344$$pGLOBAL_SET 001437344 980__ $$aBIB 001437344 980__ $$aEBOOK 001437344 982__ $$aEbook 001437344 983__ $$aOnline 001437344 994__ $$a92$$bISE