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CATEGORIES:Zangwill Club
SUMMARY:Reproducibility and transparency indicators across
  diverse scientific fields - John P.A. Ioannidis\,
  MD\, DSc (Stanford University)
DTSTART;TZID=Europe/London:20220218T163000
DTEND;TZID=Europe/London:20220218T180000
UID:TALK169388AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/169388
DESCRIPTION:Bio: John P.A. Ioannidis\, MD\, DSc is Professor o
 f Medicine\, Professor of Epidemiology and Populat
 ion Health\, and Professor (by courtesy) of Biomed
 ical Data Science at the School of Medicine\, Prof
 essor (by courtesy) of Statistics at the School of
  Humanities and Sciences\, and co-Director of the 
 Meta-Research Innovation Center at Stanford (METRI
 CS). He is the recipient of many awards and he has
  been elected as Einstein fellow at the Berlin Ins
 titute of Health. He has been inducted in the Asso
 ciation of American Physicians\, the European Acad
 emy of Cancer Sciences\, the American Epidemiologi
 cal Society\, the European Academy of Sciences and
  Arts\, the US National Academy of Medicine\, and 
 as a corresponding member in the Academy of Scienc
 es in Bologna. He has received honorary titles fro
 m FORTH and U Ioannina\, honorary doctorates from 
 the universities of Rotterdam\, Athens\, Tilburg a
 nd Edinburgh and has given multiple honorary lectu
 reships. He is among the 10 scientists with the hi
 ghest current citation rate in the world (>6\,500 
 new citations per month per Google Scholar).\n\nAb
 stract:In the last decade\, there has been a heigh
 tened interest in reproducibility and also a perce
 ption of a replication crisis across diverse scien
 tific fields. Concurrently\, there are many initia
 tives that have tried to made research work in a m
 ore open\, sharing environment. Several empirical 
 efforts have tried to assess the reproducibility o
 f research findings. Moreover\, multiple surveys h
 ave assessed the prevalence and evolution over tim
 e of research practices that enhance transparency 
 and\, hopefully\, also reproducibility. These incl
 ude\, but are not limited to\, data sharing\, code
 /algorithm sharing\, protocol registration\, decla
 rations of conflict and funding\, and use of bette
 r powered studies and better methods. The lecture 
 will explore current evolutions in the areas of re
 producible\, open\, transparent research and the l
 essons learned from diverse scientific fields.
LOCATION:Zoom meeting
CONTACT:Psychology Reception
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