Crowd research: Open and scalable university laboratories
Research output: Contribution to journal › Conference article › Research › peer-review
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Crowd research : Open and scalable university laboratories. / Vaish, Rajan; Gaikwad, Snehalkumar S.; Kovacs, Geza; Veit, Andreas; Krishna, Ranjay; Ibarra, Imanol Arrieta; Simoiu, Camelia; Wilber, Michael; Belongie, Serge; Goel, Sharad; Davis, James; Bernstein, Michael S.
In: UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 20.10.2017, p. 829-843.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Crowd research
T2 - 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017
AU - Vaish, Rajan
AU - Gaikwad, Snehalkumar S.
AU - Kovacs, Geza
AU - Veit, Andreas
AU - Krishna, Ranjay
AU - Ibarra, Imanol Arrieta
AU - Simoiu, Camelia
AU - Wilber, Michael
AU - Belongie, Serge
AU - Goel, Sharad
AU - Davis, James
AU - Bernstein, Michael S.
N1 - Publisher Copyright: © 2017 Copyright held by the owner/author(s).
PY - 2017/10/20
Y1 - 2017/10/20
N2 - Research experiences today are limited to a privileged few at select universities. Providing open access to research experiences would enable global upward mobility and increased diversity in the scientific workforce. How can we coordinate a crowd of diverse volunteers on open-ended research? How could a PI have enough visibility into each person's contributions to recommend them for further study? We present Crowd Research, a crowdsourcing technique that coordinates open-ended research through an iterative cycle of open contribution, synchronous collaboration, and peer assessment. To aid upward mobility Andrecognize contributions in publications, we introduce a decentralized credit system: participants allocate credits to each other, which a graph centrality algorithm translates into a collectively-created author order. Over 1, 500 people from 62 countries have participated, 74% from institutions with low access to research. Over two years and three projects, this crowd has produced articles at top-tier Computer Science venues, and participants have gone on to leading graduate programs.
AB - Research experiences today are limited to a privileged few at select universities. Providing open access to research experiences would enable global upward mobility and increased diversity in the scientific workforce. How can we coordinate a crowd of diverse volunteers on open-ended research? How could a PI have enough visibility into each person's contributions to recommend them for further study? We present Crowd Research, a crowdsourcing technique that coordinates open-ended research through an iterative cycle of open contribution, synchronous collaboration, and peer assessment. To aid upward mobility Andrecognize contributions in publications, we introduce a decentralized credit system: participants allocate credits to each other, which a graph centrality algorithm translates into a collectively-created author order. Over 1, 500 people from 62 countries have participated, 74% from institutions with low access to research. Over two years and three projects, this crowd has produced articles at top-tier Computer Science venues, and participants have gone on to leading graduate programs.
KW - Citizen science
KW - Crowd research
KW - Crowdsourcing
UR - http://www.scopus.com/inward/record.url?scp=85041514038&partnerID=8YFLogxK
U2 - 10.1145/3126594.3126648
DO - 10.1145/3126594.3126648
M3 - Conference article
AN - SCOPUS:85041514038
SP - 829
EP - 843
JO - UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
JF - UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
Y2 - 22 October 2017 through 25 October 2017
ER -
ID: 301827247