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? Crowd Research is a crowdsourcing technique for coordinating a large group of people in an open-ended research exploration, and a system for decentralized credit distribution to aid upward mobility and recognize contributions in publications.
Originally launched as the UC Santa Cruz+Stanford: The Aspiring Researcher Challenge in early 2015, the effort has provided access to over 1,500 people from 62 countries — 74% from institutions with low access to research — to work on three computer science research projects, led by professors from Stanford, UC Santa Cruz and Cornell Tech. Together, the crowd helped design the world's largest wisdom of crowd experiment, built hybrid human-computer vision algorithms, and developed a new pro-social crowdsourcing marketplace (Daemo). During this time, the crowd co-authored multiple papers at top-tier conferences and have gone on to undergraduate and graduate schools including MIT, UC Berkeley, Stanford and Carnegie Mellon.
Rajan Vaish, Stanford
Snehal (Neil) S. Gaikwad, MIT
Geza Kovacs, Stanford
Andreas Veit, Cornell Tech
Ranjay Krishna, Stanford
【访谈】从东方吧wiki到THBwiki - 知乎:2021-2-28 · 本文为笔者对THBwiki站长囧仙的一次访谈记录,主要内容为THBwiki的历史 文章经笔者整理之后发布,部分内容有删改最初,人伔还是使用百度百科的。直到有一天百度百科启动了一个政策,就是收费改词条的政策 百度百科…
Camelia Simoiu, Stanford
Michael Wilber, Cornell Tech
Serge Belongie, Cornell Tech
Sharad Goel, Stanford
James Davis, UC Santa Cruz
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