Fold It: Difference between revisions

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|field_project_access_URL=http://fold.it/portal/
|field_project_access_URL=http://fold.it/portal/
|field_screenshot=Foldit main.png
|field_screenshot=Foldit main.png
|field_software=Citizen science custom software
|field_project_start_date=2008/05/08
|field_project_start_date=2008/05/08
|field_project_open=Yes
|field_project_open=Yes
|field_project_beta_start_date=2008/12/12
|field_subject_areas=Natural sciences
|field_subject_areas=Natural sciences
|field_cs_subject_areas=biology/medicine/neuroscience
|field_cs_subject_areas=biology/medicine/neuroscience
Line 11: Line 13:
|field_purpose_of_project=Identify the structural configuration of natural proteins to study and understand proteins better.
|field_purpose_of_project=Identify the structural configuration of natural proteins to study and understand proteins better.
|field_research_questions="As described above, knowing the structure of a protein is key to understanding how it works and to targeting it with drugs. A small protein can consist of 100 amino acids, while some human proteins can be huge (1000 amino acids). The number of different ways even a small protein can fold is astronomical because there are so many degrees of freedom." [http://fold.it/portal/info/about from official project website]
|field_research_questions="As described above, knowing the structure of a protein is key to understanding how it works and to targeting it with drugs. A small protein can consist of 100 amino acids, while some human proteins can be huge (1000 amino acids). The number of different ways even a small protein can fold is astronomical because there are so many degrees of freedom." [http://fold.it/portal/info/about from official project website]
|field_location_of_activities=International
|field_team_leadermm=David Baker
|field_team_leadermm=David Baker
|field_main_institution=University of Washington's Center for Game Science
|field_partner_institutions=UW Department of Biochemistry, UW Center for Game Science, UW Department of Computer Science and Engineering
|field_team_link=http://fold.it/portal/info/credits
|field_team_link=http://fold.it/portal/info/credits
|field_contact_person=Not explicitely listed
|field_contact_person_URLs=http://fold.it/portal/feedback or https://twitter.com/foldit
|field_team_location=University of Washington
|field_team_location=University of Washington
|field_Haklay_typology=crowdsourcing
|field_Haklay_typology=distributed intelligence
|field_volonteer_computing=no
|field_volonteer_computing=no
|field_volonteer_thinking=no
|field_volonteer_thinking=no
Line 21: Line 28:
|field_data_types_to_manipulate=3D manipulation
|field_data_types_to_manipulate=3D manipulation
|field_participant_contribution_type=data analysis
|field_participant_contribution_type=data analysis
|field_gaming_elements=achievements, score boards, challenges
|field_gaming_genre=puzzle
|field_gaming_genre=puzzle
|field_interface_attractivity=cool/attractive
|field_interface_attractivity=somewhat cool/attractive
|field_tutorials_documentation=N/A
|field_tutorials_documentation=yes
|field_peer_to_peer_guidance=N/A
|field_peer_to_peer_guidance=yes
|field_training_sequence=N/A
|field_training_sequence=strong
|field_individual_performance_feedback=N/A
|field_individual_performance_feedback=yes
|field_collective_performance_feedback=N/A
|field_collective_performance_feedback=yes
|field_research_progress_feedback=N/A
|field_research_progress_feedback=somewhat
|field_member_profiles=N/A
|field_member_profiles=minimal
|field_member_profile_elements=photo, personal interests, badges, activity metrics, other
|field_community_tools=website, blog, forum, wiki, other
|field_community_tools=website, blog, forum, wiki, other
|field_number_of_forum_members=6398
|field_number_of_forum_members=6398
|field_has_community_manager=N/A
|field_has_community_manager=maybe
|field_project_news_updates=weekly
|field_project_news_updates=weekly
|field_project_news_site=http://fold.it/portal/blog
|field_project_news_site=http://fold.it/portal/blog
|field_socialsoftware_sites=Twitter, Facebook
|field_socialsoftware_sites=Twitter, Facebook
|field_event_types=other
|field_events_frequency=5
|field_community_management=Forum fairly active.
|field_community_management=Forum fairly active.
|field_team_work=N/A
|field_community_interaction_forms=Blog Comments and Twitter
|field_completion_level=Low
|field_team_work=yes
|field_last_edition=2013/09/26
|field_community_awareness_tools=Twitter and mentions in popular science articles
|field_completion_level=Medium
|field_last_edition=2013/12/20
}}
}}
 
...
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Latest revision as of 02:08, 21 December 2013

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Cs Portal > List of citizen science projects > Fold It - (2013/12/20)

Foldit main.png
Foldit main.png
CCLlogo.png
CCLlogo.png
THIS PAGE DESCRIBE A CITIZEN SCIENCE PROJECT

⇾ DISCUSS THIS FORM

⇾ GO TO PORTAL

IDENTIFICATION

Start date : 2008/05/08
  • Beta start date : 2008/12/12
  • End date : Still open.
Subject

⇳ Description Fold It is a computer game enabling volonteers to contribute to biochemistry research by resolving proteins puzzles. The game is part of an experimental research project, and is developed by the University of Washington's Center for Game Science in collaboration with the UW Department of Biochemistry. ➠ Purpose Identify the structural configuration of natural proteins to study and understand proteins better. ? Research question "As described above, knowing the structure of a protein is key to understanding how it works and to targeting it with drugs. A small protein can consist of 100 amino acids, [[Has research question::while some human proteins can be huge (1000 amino acids). The number of different ways even a small protein can fold is astronomical because there are so many degrees of freedom." from official project website]]

TEAM

MAIN TEAM LOCATION
Loading map...

University of Washington

Project team page http://fold.it/portal/info/credits Leader: David Baker Institution: University of Washington's Center for Game Science Partner institutions: UW Department of Biochemistry, UW Center for Game Science, UW Department of Computer Science and Engineering Contact: Not explicitely listed http://fold.it/portal/feedback or https://twitter.com/foldit

USER TASKS

CONTRIBUTION TYPE: data analysis
PARTICIPATION TYPOLOGY: distributed intelligence


GAMING GENRE Puzzle
GAMING ELEMENTS: NONE

COMPUTING
THINKING
SENSING
GAMING

◉ Tasks description

⤯ Interaction with objects

▣ Interface

  • Data type to manipulate: 3D manipulation
  • interface enjoyment: somewhat cool/attractive
  • Interface usability:

GUIDANCE

GUIDANCE
  • Tutorial: ✓
  • Peer to peer guidance: ✓
  • Training sequence: Somewhat
FEEDBACK ON
  • Individual performance: ✓
  • Collective performance: ✓
  • Research progress: Somewhat

❂ Feedback and guidance description

COMMUNITY

COMMUNITY TOOLS
  • Communication: website, blog, forum, wiki, other
  • Social Network: Twitter, Facebook
  • Member profiles:: minimal
  • Member profile elements: photo, personal interests, badges, activity metrics, other
NEWS & EVENTS

⏣ Community description

  • Community size (volounteers based) 6398
  • Role:
  • Interaction form: Blog Comments and Twitter
  • Has official community manager(s): maybe
  • Has team work yes
  • Other: Forum fairly active.
  • Community led additions:


Other information

PROJECT

Url:http://fold.it/portal/
Start date: 2008/05/08
End date: Still open

TEAM

Official team page:http://fold.it/portal/info/credits
Leader: David Baker
Institution: University of Washington's Center for Game Science
Partner institutions: UW Department of Biochemistry, UW Center for Game Science, UW Department of Computer Science and Engineering
Contact: http://fold.it/portal/feedback or https://twitter.com/foldit
Main location: University of Washington

PROJECT DEFINITION

Subject

Natural sciences > Biochemistry (biology/medicine/neuroscience)

Description

Fold It is a computer game enabling volonteers to contribute to biochemistry research by resolving proteins puzzles. The game is part of an experimental research project, and is developed by the University of Washington's Center for Game Science in collaboration with the UW Department of Biochemistry.

Purpose.

Identify the structural configuration of natural proteins to study and understand proteins better.

Research question.

"As described above, knowing the structure of a protein is key to understanding how it works and to targeting it with drugs. A small protein can consist of 100 amino acids, while some human proteins can be huge (1000 amino acids). The number of different ways even a small protein can fold is astronomical because there are so many degrees of freedom." from official project website

ABOUT PARTICIPANT TASKS

.

.

Grey typology Participation typology Contribution type:
Computing: NO Thinking: NO
Sensing: NO Gaming: YES
Crowdsourcing ☐ Distributed intelligence ☑
Participatory science ☐ Extreme citizen science ☐
Science outreach ☐
Data collection ☐
Data analysis ☑
Data interpretation ☐--------
Gaming
Genre: puzzle Gaming elements: achievements, score boards, challenges
Interface
Data type to manipulate: 3D manipulation interface enjoyment: somewhat cool/attractive
Interface usability: 		Member profiles::minimal
Member profile elements: photo, personal interests, badges, activity metrics, other


ABOUT GUIDANCE AND FEEDBACK

Guidance Feedback on
Tutorial and documentation: YES
Training sequence: SOMEWHAT
Peer to peer guidance: YES
individual performance: YES
collective performance: YES
research progress: Somewhat

.

COMMUNITY

Tools News & Events

Communication: website, blog, forum, wiki, other
Social Network: Twitter, Facebook

Main news site: http://fold.it/portal/blog
Frequency of project news updates: weekly
Type of events: other
Frequency of events : 5
Community description

Community size (volounteers based): 6398
Role: Interaction form:Blog Comments and Twitter
Has official community manager(s): maybe
 Has team work yes

Other information about community: Forum fairly active.
Community led additions:

OTHER PROJECT INFORMATION



Foldit main.png Yes [[has completion level::Medium]

http://fold.it/portal/info/credits Not explicitely listed University of Washington http://fold.it/portal/feedback or https://twitter.com/foldit 2008/12/12 Yes Biochemistry Natural sciences biology/medicine/neuroscience Identify the structural configuration of natural proteins to study and understand proteins better. "As described above, knowing the structure of a protein is key to understanding how it works and to targeting it with drugs. A small protein can consist of 100 amino acids, [[Has research question::while some human proteins can be huge (1000 amino acids). The number of different ways even a small protein can fold is astronomical because there are so many degrees of freedom." from official project website]] International Fold It

data analysis

distributed intelligence 3D manipulation, other: Thinking: no Computing: no Sensing: no Gaming: yes achievements, score boards, challenges puzzle

somewhat cool/attractive

yes yes strong yes yes somewhat

minimal photo, personal interests, badges, activity metrics, other maybe website, blog, forum, wiki, other Twitter, Facebook other 5 http://fold.it/portal/blog 6398 weekly Forum fairly active.

Blog Comments and Twitter yes Twitter and mentions in popular science articles

Medium

...


Bibliography

BIBLIOGRAPHY
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