Modelle und Theoren: Naturwissenschaftliches Erkenntnisstreben und der Wahrheitsanspruch
Prof. Dr. Claus Beisbart (Wissenschaftsphilosophie, Universität Bern)
Prof. Dr. Dirk Langemann (Computational Mathematics, Technische Universität Braunschweig)
Die Themen:
Modellbildung in den Naturwissenschaften
Theorien und Modelle aus Sicht der Wissenschaftstheorie
(Hinter-)Grundannahmen naturwissenschaftlicher Modellbildung & Data Science als neues Paradigma mathematischer Modellierung
Wissenschaftlicher Realismus: Der Wirklichkeitsbezug von Theorien
Der Objektivitätsanspruch von (Natur-)Wissenschaft
23.-25.04.2021
Unsicherheit und Nicht-Wissen in der Wissenschaft
Prof. Dr. Hans-Jörg Rheinberger (Wissenschaftsgeschichte, Max-Planck-Institut für Wissenschaftsgeschichte, Berlin)
Prof. Dr. Christian Hennig (Statistik, Universität Bologna)
Die Themen:
Die Rolle von Nicht-Wissen in der naturwissenschaftlichen Erkenntnisgewinnung
Stabilität und Instabilität in der Wissensgewinnung
Nutzen und Grenzen mathematischer und statistischer Modelle für das Verständnis der Realität
Objektivität und Subjektivität im Grundlagenstreit der Statistik und beim Lernen aus Daten
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