Crowd research: Open and scalable university laboratories
Research output: Contribution to journal › Conference article › Research › peer-review
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.
Original language | English |
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Journal | UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology |
Pages (from-to) | 829-843 |
Number of pages | 15 |
DOIs | |
Publication status | Published - 20 Oct 2017 |
Externally published | Yes |
Event | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 - Quebec City, Canada Duration: 22 Oct 2017 → 25 Oct 2017 |
Conference
Conference | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 |
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Country | Canada |
City | Quebec City |
Period | 22/10/2017 → 25/10/2017 |
Sponsor | ACM Special Interest Group on Computer Graphics and Interactive Techniques (ACM SIGGRAPH), ACM Special Interest Group on Computer-Human Interaction (ACM SIGCHI), Autodesk Inc, Disney Research, et al, Jeff Han |
Bibliographical note
Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
- Citizen science, Crowd research, Crowdsourcing
Research areas
ID: 301827247