- Title
- Improving computational reproducibility in the social sciences
- Creators
- Michael V Reiss - Ludwig-Maximilians-Universität MünchenSusanne J Adler - Ludwig-Maximilians-Universität MünchenChristopher Barrie - New York UniversityJana B Berkessel - University of MannheimJohannes Breuer - Center for Advanced Internet StudiesAbel Brodeur - University of OttawaGarret Christensen - University of California, BerkeleyTobias Dienlin - University of ZurichJeremy Freese - Department of Sociology, Stanford University, Stanford, CA, USABen Greiner - Vienna University of Economics and BusinessMario Haim - Ludwig-Maximilians-Universität MünchenTom E Hardwicke - School of Psychology, University of Sydney, Sydney, New South Wales, AustraliaMagnus Johannesson - Stockholm School of Economics, Department of EconomicsGary King - Harvard UniversityFrauke Kreuter - Ludwig-Maximilians-Universität MünchenChristopher Lucas - Washington University in St. LouisAna Martinovici - Erasmus University RotterdamChristophe Pérignon - HEC ParisMarko Sarstedt - Ludwig-Maximilians-Universität MünchenFelix D Schönbrodt - Ludwig-Maximilians-Universität MünchenOleg Urminsky - University of ChicagoWouter van Atteveldt - Vrije Universiteit AmsterdamSimine Vazire - Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, AustraliaLars Vilhuber - Cornell UniversityFlorian von Wangenheim - ETH ZurichEric-Jan Wagenmakers - University of AmsterdamNicolas Pröllochs - Department of Business and Economics, JLU Giessen, Giessen, GermanyClaire Robertson - Colby CollegeFelix Holzmeister - University of InnsbruckStefan Feuerriegel - Ludwig-Maximilians-Universität MünchenHauke Roggenkamp - ETH Zurich
- Publication Details
- Nature Human Behaviour
- Publisher
- Springer Nature
- Academic Unit
- Department of Economics
- Language
- English
- Resource Type
- Annotation
Annotation
Improving computational reproducibility in the social sciences
Nature Human Behaviour
Springer Nature
2026-09-01
PMID: 42680883
Metrics
1 Record Views