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Perspectives on the replicability of research across scientific disciplines

Fireside Chat

The last two years have demonstrated the important role played by reliable scientific evidence in guiding how both policy makers and the public respond to crises. At the same time, a lack of trust in scientists and other experts has emerged as an important constraint on our ability to address the ever changing realities of the COVID pandemic. This fireside chat will explore the replicability of reliability of scientific findings and take a critical look at the measures taken by different disciplines to assure that scientific evidence is dependable and worthy of the public‘s trust. This fireside chat is organized by Peter Schwardmann, Hauke Marquardt and the working group on “Replicability and reliability of scientific research“ from the Young Academy in the Bavarian Academy of Sciences and Humanities. The working group investigates the practices and mechanisms that underlie reliable scientific evidence. Peter Schwardmann is an assistant professor of behavioral economics at Carnegie Mellon University in Pittsburgh. He previously worked at LMU Munich. Hauke Marquardt is associate professor of solid Earth sciences at the University of Oxford. Peter Schwardman is a member of the Young Academy since 2017 and Hauke Marquardt was a member of the Young Academy until 2021.

Vortragende

PROF. DR. PETER B. BECKER, Head of Molecular Biology Section at the Faculty of Medicine at LMU Munich; DR. TAISUKE IMAI, Assistant Professor at the Department of Economics at LMU Munich; PROF. SILVIA SACCARDO, Assistant Professor at the Social and Decision Science Department at Carnegie Mellon University

Because of the ongoing COVID pandemic this fireside chat will be taking place online. If you want to attend, please send an email with the subject line “I will attend the fireside chat on replicability“ to schwardmann@cmu.edu and then use the zoom link to join the event.

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Start date

17. Mar 2022 18:00

Location

Online-Veranstaltung

Event Type

Wissenschaftliche Veranstaltung

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