Overview

The past decade has witnessed a rapid movement toward transparent and reproducible science. In many fields, researchers started to adopt policies and practices such as de-emphasizing statistical significance to discourage a dichotomous interpretation of the statistical evidence, requiring preregistration of research hypotheses and declaration of analysis plans, and launching a new type of publication called registered reports. What have we learned and achieved, and how should we move forward? This interdisciplinary workshop aims to bring together researchers from several disciplines, including economics, political science, psychology, neuroscience, and statistics. Topics discussed in the workshop include, but not limited to:

• Preregistration and pre-analysis plan
• Prediction of experimental outcomes
• Registered reports
• Peer review and selective reporting

Logistics

• Date : June 1-2, 2021
• Location : Zoom
• Format : 40 minutes presentation plus 10 minutes discussion
• Contact : taisuke.imai at econ.lmu.de
• Hosted by: Center for Advanced Studies at LMU Munich

Confirmed speakers

• Abel Brodeur (Economics, University of Ottawa)
• Christopher Chambers (Neuroscience, Cardiff University)
• Anna Dreber (Economics, Stockholm School of Economics)
• Tom Hardwicke (Psychology, University of Amsterdam)
• Sabine Hoffmann (Medical statistics, University of Munich)
• Macartan Humphreys (Political science, Columbia University/WZB)
• Maximilian Kasy (Econometrics/ML, University of Oxford)
• Gideon Nave (Marketing, University of Pennsylvania)
• Felix Schönbrodt (Psychology, University of Munich)
• Eva Vivalt (Economics, University of Toronto)

Registration info

If you are interested in participating, please register from the official workshop website at the CAS.

Schedule

Talks will take place over the course of two afternoons in Europe.
05:00 LA | 08:00 NY | 13:00 London | 14:00 Munich | 21:00 Tokyo