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Crowd Research: Open and Scalable University Laboratories

Talkat UIST 2017 · 2017-10-22..10-25· [open-source]
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A method for running open university-scale labs that recruits ~1,500 contributors from 62+ countries and runs a weekly cycle of open contribution, synchronous collaboration, and peer assessment to iterate on projects. Contributions feed a decentralized credit via 100-point allocations and PageRank to produce collective author order. Outcomes include a live Doemo crowdsourcing platform with 100,000 QA pairs, a Wisdom-of-Crowds dataset of 1,000 questions and ~500,000 responses, and peer-reviewed papers (Boomerang, Crowd Guilds); the process materially helps admissions and produces usable systems.

AI-written summary · about

  1. 0:00Introduction to Crowd Research
  2. 2:10Problem of research access
  3. 3:37Challenges in open-ended research
  4. 5:02Four-stage coordination process
  5. 8:43Decentralized credit system
  6. 11:14Impact and upward mobility
  7. 13:27Diversity in authorship
  8. 15:39PageRank for fair credit
  9. 17:55Future of decentralized research
  10. 18:37Q&A begins
  11. 18:57Resistance from traditional sectors
  12. 20:24Comparison with MOOCs model
  13. 21:50Learning research skills
  14. 22:11Messiness and disappointments
  15. 23:15Credit system evolution
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