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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Seminar by Prof. Marie Thursby\, Georgia Tech
DTSTART:20161014T120000
DTEND:20161014T133000
DTSTAMP:20260511T191429Z
UID:000ee120c32d6974b39bbe302e56e1249a307e8a5d5ace04a9044b21
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Marie Thursby\, Georgia Tech\n"Prepublication Informatio
 n Sharing and Research Productivity: The Case of Academic Scientists"   
   Abstract:\n  We present preliminary results from a survey of 7\,611 ac
 ademic researchers across multiple fields in the US\, Germany and Switzerl
 and. The survey covers pre-publication sharing of research results\, compe
 tition\, norms of science\, commercial orientation and size of research gr
 oup. Results are presented across two related topics. Part I: Information 
 sharing is critical for scientific progress\, so much so that communalism 
 is considered an ideal. However\, a number of studies suggest that communa
 lism is just that\, an ideal\, practiced in varying degrees depending on t
 he context. We report the extent to which researchers report public (gener
 al) sharing of results prior to publication\, and at what stage they share
 . Depending on their willingness to generally share and their propensity t
 o withhold crucial parts respondents are divided into three types: sharers
 \, ambivalent sharers and non-sharers. These are\, respectively\, 23.9%\, 
 38.9%\, and 37.2% of respondents. These percentages mask considerable fiel
 d heterogeneity. For example\, non-sharers vary from 11.8% in social scien
 ces to 35.3% in engineering. We estimate a probability model to examine th
 e extent to which a belief that the norms of science hold in one’s area\
 , competition and commercial orientation explain these field differences. 
 We also examine the reasons for pre-publication sharing of results (feedba
 ck\, deterrence\, etc.).\nPart II: Recent research has considered the effe
 ct of team size on research productivity (citations\, publications and pat
 ents). That work has typically focused on a single measure of team size (e
 .g.\, number of coauthors) and has failed to account for the endogeneity t
 hat exists between measures of research productivity and team size. We mea
 sure team size by number of coauthors\, number in one’s research group\,
  and number of groups worldwide in which there are collaborators. All thre
 e team size measures are found to be endogenous and instrumental variables
  estimation is used.  \n\nAuthors:\nJerry Thursby\, Georgia Institute of 
 Technology & Marie Thursby\, Georgia Institute of Technology and NBER  
LOCATION:EPFL\, ODY 4.03\, VIP Room http://plan.epfl.ch/?zoom=19&recenter_
 y=5863800.12869&recenter_x=731560.22521&layerNodes=fonds\,batiments\,label
 s\,information\,parkings_publics\,arrets_metro\,transports_publics&floor=4
 &q=ODY_4.03
STATUS:CONFIRMED
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