Data

General Issues
Science & Technology
Health
Specific Topics
Research & Development
Public Safety
Collections
Participedia Team
Location
Stanford
California
United States
Scope of Influence
No Geographical Limits
Links
[email protected] - Coronavirus - What We're Doing and How You Can Help in Simple Terms
Crowdsourcing App Takes Aim at COVID-19
HPC - [email protected] Turns Its Massive Crowdsourced Computer Network Against COVID-19
Washington University School of Medicine - Crowdsourced supercomputing project sets sights on coronavirus
[email protected] - About
[email protected] - [email protected] Takes Up the Fight Against COVID-19
Zdnet - How you can use your computer to help fight COVID-19 coronavirus
Ongoing
Yes
Purpose/Goal
Research
Approach
Research
Total Number of Participants
400000
Open to All or Limited to Some?
Open to All
General Types of Methods
Collaborative approaches
Specific Methods, Tools & Techniques
Crowdsourcing
Legality
Yes
Facilitators
Not applicable
Face-to-Face, Online, or Both
Online
Communication of Insights & Outcomes
New Media

CASE

[email protected]: Crowdsourced supercomputing project for COVID-19

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[email protected] uses distributed computing power from citizen volunteers in order to contribute to the open science research efforts of scientists studying life-saving COVID-19 therapies.

Problems and Purpose

A distributed computing project for simulating protein dynamics implicated in diseases such as COVID-19, [email protected] (FAH, or [email protected]) is bringing together citizen scientists who volunteer to run simulations on their personal computers. Insights from these data help "scientists to better understand biology, and [provide] new opportunities for developing therapeutics."[1]

Greg Bowman, assistant professor of biochemistry and molecular biophysics at Washington University in St. Louis, stated that, "the data you help us generate will be quickly and openly disseminated as part of an open science collaboration of multiple laboratories around the world, giving researchers new tools that may unlock new opportunities for developing lifesaving drugs."[2]

Background History and Context

[email protected] was originated by Dr. Vijay Pande’s lab at Stanford University.[3]

Organizing, Supporting, and Funding Entities

The [email protected] project receives funding from " the United States’ National Institutes of Health (NIH) and National Science Foundation (NSF)". [4]

Participant Recruitment and Selection

The technology is openly downloadable as an application for anyone who wishes to participate. As of March 19, 2020, over 400,000 people have downloaded [email protected], with at least 250,000 actively participating.[5]

Methods and Tools Used

Crowdsourcing

What Went On: Process, Interaction, and Participation

Influence, Outcomes, and Effects

Analysis and Lessons Learned

See Also

Crowdsourcing

References

[1] [email protected] (2020). "About". Retrieved from https://foldingathome.org/about/

[2] Mello Jr, John P. (2020, March 18). "Crowdsourcing App Takes Aim at COVID-19". Tech News World. Retrieved from https://www.technewsworld.com/story/86576.html

[3] Peckham, O. (2020, March 16)." [email protected] Turns Its Massive Crowdsourced Computer Network Against COVID-19." HPC Wire. Retrieved from https://www.hpcwire.com/2020/03/16/foldinghome-turns-its-massive-crowdsourced-computer-network-against-covid-19/

[4] [email protected] "Partners." Retrieved from https://foldingathome.org/about/partners/

[5] Lyons Hardcastle, Jessica. "White Hat Hackers Fight COVID-19, Donate GPUs for a Cure." sdx central. Retrieved from https://www.sdxcentral.com/articles/news/white-hat-hackers-fight-covid-19-donate-gpus-for-a-cure/2020/03/

External Links

Notes