LEADER 03603nam 22006135 450 001 9910918595403321 005 20250807150240.0 010 $a9783031680588 010 $a3031680588 024 7 $a10.1007/978-3-031-68058-8 035 $a(CKB)37054810400041 035 $a(MiAaPQ)EBC31851886 035 $a(Au-PeEL)EBL31851886 035 $a(DE-He213)978-3-031-68058-8 035 $a(OCoLC)1485004340 035 $a(EXLCZ)9937054810400041 100 $a20241219d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Science and Art of Simulation $eTrust in Science /$fedited by Michael M. Resch, Nico Formánek, Ammu Joshy, Andreas Kaminski 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (271 pages) 311 08$a9783031680571 311 08$a303168057X 327 $aSynopsis of Contributions -- Introduction -- Philosophy of Trust -- Heresy and Honor. A Historical Perspective on Trust in Science -- Trusting Science: Is There Reasonable Distrust ofReputable Scientific Authority? -- Can There Be an Epistemic Authority? -- Trust Science With What? Trust-Building Dialogue between Scientists and the Public Trust in Science -- Scientific Experts, Epistemic Wisdom, and Justified Trust -- Confidence: Calibrating Trust in Science Trust and Policy -- Trust in Science During global challenges: the pandemic and trustworthy AI -- Science, Shame, and Trust: Against Shaming Policies, Sociological, Communicative and Media Aspects of Trust in Science. Establishing Trust in Algorithmic Results: Ground Truth Simulations and the First Empirical Images of a Black Hole -- Trust and Science Communication in the Internet Era: The Case of Mainstream Climate Blogging -- Emancipatory Data Literacy and the Value of Trust -- Only a Theory? Substantive and Methodological Strategies for Regaining Trust in Science -- Undermining Trust in Science: No Fraud Required. 330 $aTrust is a central pillar of the scientific enterprise. Much work in the philosophy of science can be seen as coping with the problem of establishing trust in a certain theory, a certain model or even science as a whole. However, trust in science is threatened by various developments. With the advent of more complex models and the increasing usage of computer methods such as machine learning and computer simulation it seems increasingly challenging to establish trust in science. How and on what basis can an appropriate trust in science be founded? Should it be only for experts or also for a wider public? Which role do computational methods play in establishing or eroding trust? In this volume scientists from many backgrounds offer their answers to these questions. 606 $aMathematics 606 $aComputer science 606 $aPhilosophy 606 $aMathematics 606 $aComputer Science 606 $aPhilosophy 615 0$aMathematics. 615 0$aComputer science. 615 0$aPhilosophy. 615 14$aMathematics. 615 24$aComputer Science. 615 24$aPhilosophy. 676 $a510 700 $aResch$b Michael M$0928284 701 $aFormánek$b Nico$01780944 701 $aJoshy$b Ammu$01780945 701 $aKaminski$b Andreas$01780946 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910918595403321 996 $aThe Science and Art of Simulation$94305531 997 $aUNINA