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oapen-20.500.12657-595462022-11-22T03:29:53Z Rationale Entscheidungen unter Unsicherheit Fleischer, Bernhard Lauterbach, Reiner Pawlik, Kurt Decision making Risk Uncertainty Simulation bic Book Industry Communication::J Society & social sciences::JM Psychology bic Book Industry Communication::M Medicine::MB Medicine: general issues bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJN Neurology & clinical neurophysiology People make a multitude of decisions every day, either for themselves or for others. On what basis do we actually decide? What are the bases for decisions when the data situation is uncertain because a completely new situation is expected or has already occurred? This is regularly the case in medicine and especially in times when new infectious agents become known and can trigger epidemics or pandemics, but also in special situations such as imminent large-scale disasters, dangerous situations in mass gatherings or impending economic crises with a viral character. In this book, internationally high-ranking scientists from medicine, biology, economics, mathematics, philosophy and psychology as well as renowned decision practitioners in public administration deal with the question of how we recognise, evaluate and rationally deal with uncertainties. What to do when there is no "right" or "wrong"? Can we learn risk competence? Can learning machines support us in this? What contribution can science make to advising policy makers? What is the concrete decision-making practice at the police and fire brigade in a large city like Hamburg? 2022-11-21T16:35:07Z 2022-11-21T16:35:07Z 2018 book ONIX_20221121_9783110600261_89 2193-1933 9783110600261 9783110598308 9783110598957 https://library.oapen.org/handle/20.500.12657/59546 ger Abhandlungen der Akademie der Wissenschaften in Hamburg application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9783110600261.pdf https://www.degruyter.com/isbn/9783110600261 De Gruyter De Gruyter 10.1515/9783110600261 People make a multitude of decisions every day, either for themselves or for others. On what basis do we actually decide? What are the bases for decisions when the data situation is uncertain because a completely new situation is expected or has already occurred? This is regularly the case in medicine and especially in times when new infectious agents become known and can trigger epidemics or pandemics, but also in special situations such as imminent large-scale disasters, dangerous situations in mass gatherings or impending economic crises with a viral character. In this book, internationally high-ranking scientists from medicine, biology, economics, mathematics, philosophy and psychology as well as renowned decision practitioners in public administration deal with the question of how we recognise, evaluate and rationally deal with uncertainties. What to do when there is no "right" or "wrong"? Can we learn risk competence? Can learning machines support us in this? What contribution can science make to advising policy makers? What is the concrete decision-making practice at the police and fire brigade in a large city like Hamburg? 10.1515/9783110600261 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 9783110600261 9783110598308 9783110598957 De Gruyter 8 161 Berlin/Boston open access
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People make a multitude of decisions every day, either for themselves or for others. On what basis do we actually decide? What are the bases for decisions when the data situation is uncertain because a completely new situation is expected or has already occurred? This is regularly the case in medicine and especially in times when new infectious agents become known and can trigger epidemics or pandemics, but also in special situations such as imminent large-scale disasters, dangerous situations in mass gatherings or impending economic crises with a viral character. In this book, internationally high-ranking scientists from medicine, biology, economics, mathematics, philosophy and psychology as well as renowned decision practitioners in public administration deal with the question of how we recognise, evaluate and rationally deal with uncertainties. What to do when there is no "right" or "wrong"? Can we learn risk competence? Can learning machines support us in this? What contribution can science make to advising policy makers? What is the concrete decision-making practice at the police and fire brigade in a large city like Hamburg?
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