Reproducibility and transparency indicators across diverse scientific fields

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• John P.A. Ioannidis, MD, DSc (Stanford University)
• Friday 18 February 2022, 16:30-18:00
• Zoom meeting.

If you have a question about this talk, please contact Psychology Reception.

Bio: John P.A. Ioannidis, MD, DSc is Professor of Medicine, Professor of Epidemiology and Population Health, and Professor (by courtesy) of Biomedical Data Science at the School of Medicine, Professor (by courtesy) of Statistics at the School of Humanities and Sciences, and co-Director of the Meta-Research Innovation Center at Stanford (METRICS). He is the recipient of many awards and he has been elected as Einstein fellow at the Berlin Institute of Health. He has been inducted in the Association of American Physicians, the European Academy of Cancer Sciences, the American Epidemiological Society, the European Academy of Sciences and Arts, the US National Academy of Medicine, and as a corresponding member in the Academy of Sciences in Bologna. He has received honorary titles from FORTH and U Ioannina, honorary doctorates from the universities of Rotterdam, Athens, Tilburg and Edinburgh and has given multiple honorary lectureships. He is among the 10 scientists with the highest current citation rate in the world (>6,500 new citations per month per Google Scholar).

Abstract:In the last decade, there has been a heightened interest in reproducibility and also a perception of a replication crisis across diverse scientific fields. Concurrently, there are many initiatives that have tried to made research work in a more open, sharing environment. Several empirical efforts have tried to assess the reproducibility of research findings. Moreover, multiple surveys have assessed the prevalence and evolution over time of research practices that enhance transparency and, hopefully, also reproducibility. These include, but are not limited to, data sharing, code/algorithm sharing, protocol registration, declarations of conflict and funding, and use of better powered studies and better methods. The lecture will explore current evolutions in the areas of reproducible, open, transparent research and the lessons learned from diverse scientific fields.

This talk is part of the Zangwill Club series.

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