What’s the Problem? How Crowdsourcing Contributes to Identifying Scientific Research Questions

Susanne Beck, Tiare-Maria Brasseur, Marion Poetz, Henry Sauermann

Publikation: KonferencebidragPaperForskningpeer review

Abstrakt

An increasing number of research projects successfully involves the general public (the crowd) in tasks such as collecting observational data or classifying images to answer scientists’ research questions. Although such crowd science projects have generated great hopes among scientists and policy makers, it is not clear whether the crowd can also meaningfully contribute to other stages of the research process, in particular the identification of research questions that should be studied. We first develop a conceptual framework that ties different aspects of “good” research questions to different types of knowledge. We then discuss potential strengths and weaknesses of the crowd compared to professional scientists in developing research questions, while also considering important heterogeneity among crowd members. Data from a series of online and field experiments has been gathered and is currently analyzed to test individual- and crowd-level hypotheses focusing on the underlying mechanisms that influence a crowd’s performance in generating research questions. Our results aim for advancing the literatures on crowd and citizen science as well as the broader literature on crowdsourcing and the organization of open and distributed knowledge production. Our findings have important implications for scientists and policy makers.
OriginalsprogEngelsk
Publikationsdato2019
Antal sider36
StatusUdgivet - 2019
BegivenhedDRUID19 Conference - Copenhagen Business School, Frederiksberg, Danmark
Varighed: 19 jun. 201921 jun. 2019
Konferencens nummer: 41
https://conference.druid.dk/Druid/?confId=59

Konference

KonferenceDRUID19 Conference
Nummer41
LokationCopenhagen Business School
LandDanmark
ByFrederiksberg
Periode19/06/201921/06/2019
Internetadresse

Bibliografisk note

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Emneord

  • Crowd science
  • Open science
  • Scientific knowledge production
  • Experimental design
  • Problem finding
  • Crowdsourcing

Citationsformater