Crowd research: Open and scalable university laboratories
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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.
Originalsprog | Engelsk |
---|---|
Tidsskrift | UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology |
Sider (fra-til) | 829-843 |
Antal sider | 15 |
DOI | |
Status | Udgivet - 20 okt. 2017 |
Eksternt udgivet | Ja |
Begivenhed | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 - Quebec City, Canada Varighed: 22 okt. 2017 → 25 okt. 2017 |
Konference
Konference | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 |
---|---|
Land | Canada |
By | Quebec City |
Periode | 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 |
Bibliografisk note
Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
ID: 301827247