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Crowd Research: Open and Scalable University Laboratories

In: Design Thinking Research

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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 & Mi, 2019. "Crowd Research: Open and Scalable University Laboratories," Understanding Innovation, in: Christoph Meinel & Larry Leifer (ed.), Design Thinking Research, pages 113-142, Springer.
    • Handle: RePEc:spr:undchp:978-3-319-97082-0_7
    DOI: 10.1007/978-3-319-97082-0_7
    as

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