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SUMMARY:Reproducibility and transparency indicators across diverse scienti
 fic fields - John P.A. Ioannidis\, MD\, DSc (Stanford University)
DTSTART:20220218T163000Z
DTEND:20220218T180000Z
UID:TALK169388@talks.cam.ac.uk
CONTACT:Psychology Reception
DESCRIPTION:Bio: John P.A. Ioannidis\, MD\, DSc is Professor of Medicine\,
  Professor of Epidemiology and Population Health\, and Professor (by court
 esy) 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 Associatio
 n of American Physicians\, the European Academy of Cancer Sciences\, the A
 merican Epidemiological Society\, the European Academy of Sciences and Art
 s\, 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 Rotter
 dam\, Athens\, Tilburg and Edinburgh and has given multiple honorary lectu
 reships. He is among the 10 scientists with the highest current citation r
 ate in the world (>6\,500 new citations per month per Google Scholar).\n\n
 Abstract:In the last decade\, there has been a heightened interest in repr
 oducibility and also a perception of a replication crisis across diverse s
 cientific fields. Concurrently\, there are many initiatives that have trie
 d to made research work in a more open\, sharing environment. Several empi
 rical efforts have tried to assess the reproducibility of research finding
 s. 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 shar
 ing\, code/algorithm sharing\, protocol registration\, declarations of con
 flict 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 scientif
 ic fields.
LOCATION:Zoom meeting
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