Hoping for optimality or designing for inclusion: Persistence, learning, and the social network of citizen science

Proceedings of the National Academy of Sciences of the United States of America

Volumn 116, Issue 6, 2019, Pages 1894-1901

  Parrish, Julia K ^a   Jones, Timothy ^a   Burgess, Hillary K ^a   He, Yurong ^a   Fortson, Lucy ^b   Cavalier, Darlene ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b University of Minnesota   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Citizen science; Crowdsourcing; Dabblers; Data quality; Retention

Indexed keywords

ADULT; ARTICLE; CARCASS; CROWDSOURCING; DEMOGRAPHY; FEMALE; GENDER; HUMAN; HUMAN EXPERIMENT; LANDSCAPE; LEARNING; MALE; META ANALYSIS; NONHUMAN; QUANTITATIVE ANALYSIS; SEABIRD; SOCIAL NETWORK; SPECIES IDENTIFICATION; TASK PERFORMANCE; COMMUNITY PARTICIPATION; COMPREHENSION; EDUCATION; MEASUREMENT ACCURACY; PROCEDURES; QUESTIONNAIRE; RESEARCH; SCIENCE;

COMMUNITY PARTICIPATION; COMPREHENSION; CROWDSOURCING; DATA ACCURACY; EDUCATION, DISTANCE; HUMANS; LEARNING; RESEARCH; SCIENCE; SOCIAL NETWORKING; SURVEYS AND QUESTIONNAIRES;

EID: 85061121769     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1807186115     Document Type: Article

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