BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Scooped! Estimating Rewards for Priority in Science
DTSTART:20201012T170000
DTSTAMP:20260509T170101Z
UID:507735136f996ee3a7872bca19fb9ba578d191f709d718621ed74637
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ryan Hill (MIT / Northwestern Kellogg)\nRyan Hill (MIT / North
 western Kellogg)\n"Scooped! Estimating Rewards for Priority in Science"\nD
 iscussant: Matt Marx (Boston University - Questrom School of Business)\n\n
 Abstract\nThe scientific community assigns credit or “priority” to ind
 ividuals who publish an important discovery first. We examine the impact o
 f losing a priority race (colloquially known as getting “scooped”) on 
 subsequent publication and career outcomes. To do so\, we take advantage o
 f data from structural biology where the nature of the scientific process 
 together with the Protein Data Bank — a repository of standardized resea
 rch discoveries — enables us to identify priority races and their outcom
 es. We find that race winners receive more attention than losers\, but tha
 t these contests are not winner-take-all. Scooped teams are 2.5 percent le
 ss likely to publish\, are 18 percent less likely to appear in a top-10 jo
 urnal\, and receive 28 percent fewer citations. As a share of total citati
 ons\, we estimate that scooped papers receive a credit share of 42 percent
 . This is larger than the theoretical benchmark of zero percent suggested 
 by classic models of innovation races. We conduct a survey of structural b
 iologists which suggests that active scientists are more pessimistic about
  the cost of getting scooped than can be justified by the data. Much of th
 e citation effect can be explained by journal placement\, suggesting edito
 rs and reviewers are key arbiters of academic priority. Getting scooped ha
 s only modest effects on academic careers. Finally\, we present a simple m
 odel of statistical discrimination in academic attention to explain how th
 e priority reward system reinforces inequality in science\, and document e
 mpirical evidence consistent with our model. On the whole\, these estimate
 s inform both theoretical models of innovation races and suggest opportuni
 ties to re-evaluate the\npolicies and institutions that affect credit allo
 cation in science.\n\nEPFL Virtual Innovation Seminar\nEVIS is a bi-weekly
  virtual seminar series focusing on Science\, Technology and Innovation to
 pics studied through the lens of Economics\, Entrepreneurship\, Strategy a
 nd Finance.\n 
LOCATION:Zoom
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR