Crowd Research: Open and Scalable University Laboratories

Rajan Vaish (), Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael Wilber, Serge Belongie, Sharad C. Goel, James Davis and Michael S. Bernstein ()
Additional contact information
Rajan Vaish: Stanford University
Snehalkumar (Neil) S. Gaikwad: MIT Media Lab
Geza Kovacs: Stanford University
Andreas Veit: Cornell Tech
Ranjay Krishna: Stanford University
Imanol Arrieta Ibarra: Stanford University
Camelia Simoiu: Stanford University
Michael Wilber: Cornell Tech
Serge Belongie: Cornell Tech
Sharad C. Goel: Stanford University
James Davis: UC Santa Cruz
Michael S. Bernstein: Stanford University

A chapter in Design Thinking Research, 2019, pp 113-142 from Springer

Abstract: Abstract 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 and recognize 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 1500 people from 62 countries have participated, 74% from institutions with low access to research. Over 2 years and three projects, this crowd has produced articles at top-tier Computer Science venues, and participants have gone on to leading graduate programs.

Keywords: Crowdsourcing; Citizen science; Crowd research (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:undchp:978-3-319-97082-0_7

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DOI: 10.1007/978-3-319-97082-0_7

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