EyeWire

From EduTech Wiki
Jump to: navigation, search
Low
Medium
High
Complete

Cs Portal > List of citizen science projects > EyeWire - (2013/09/25)

Photo.jpg
Photo.jpg
CCLlogo.png
CCLlogo.png


IDENTIFICATION

Participant's homepage
  • Infrastructure:
  • Developed with:
Start date : 2012/12/10
  • Beta start date : N/A
  • End date : Still open.
Subject

Description EyeWire is a game where volounteers map the 3D structure of neurons. By playing EyeWire, they help map the retinal connectome and contribute to the neuroscience research conducted by Sebastian Seung's Computational Neuroscience Lab at MIT. The connectome is a map of all the connections between cells in the brain. Rather than mapping an entire brain, we’re starting with a retina. Purpose Identify and Maps all the neurons in the retina. ? Research question

TEAM

MAIN TEAM LOCATION
Loading map...

Massachusetts Institute of Technology - 77 Massachusetts Ave, Cambridge, États-Unis

Project team page http://wiki.eyewire.org/en/Who we are and what we do. Leader: Sebastian Seung's Institution: Partner institutions: Contact: support@eyewire.org

USER TASKS

CONTRIBUTION TYPE: data analysis
PARTICIPATION TYPOLOGY: crowdsourcing


GAMING GENRE NONE
GAMING ELEMENTS: NONE

COMPUTING
THINKING
SENSING
GAMING

Tasks description The player's task is to select the areas that the AI missed, thus improving the trace of the neuron. In the interface, a three-dimensional view shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the task is complete, the player submits the task and is presented with another task. Interaction with objects

Interface

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

GUIDANCE

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

Feedback and guidance description

COMMUNITY

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

Community description

  • Community size (volounteers based) 80 000
  • Role:
  • Interaction form:
  • Has official community manager(s): N/A
  • Has team work N/A
  • Other: Community can make suggestions in threads on the discussion forum which project staff look at and respond to accordingly.
  • Community led additions:


Other information

1 PROJECT

Url:http://eyewire.org/
Start date: 2012/12/10
End date: Still open


2 TEAM

Official team page:http://wiki.eyewire.org/en/Who_we_are_and_what_we_do.
Leader: Sebastian Seung's


Contact: support@eyewire.org
Main location: Massachusetts Institute of Technology - 77 Massachusetts Ave, Cambridge, États-Unis

3 PROJECT DEFINITION


3.1 Subject

Natural sciences > Neurology (biology/medicine/neuroscience)

3.2 Description

EyeWire is a game where volounteers map the 3D structure of neurons. By playing EyeWire, they help map the retinal connectome and contribute to the neuroscience research conducted by Sebastian Seung's Computational Neuroscience Lab at MIT. The connectome is a map of all the connections between cells in the brain. Rather than mapping an entire brain, we’re starting with a retina.

3.3 Purpose.

Identify and Maps all the neurons in the retina.

3.4 .

4 ABOUT PARTICIPANT TASKS


4.1 Tasks description.

The player's task is to select the areas that the AI missed, thus improving the trace of the neuron. In the interface, a three-dimensional view shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the task is complete, the player submits the task and is presented with another task.

4.2 .

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


5 ABOUT GUIDANCE AND FEEDBACK


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

5.1 .

6 COMMUNITY


Tools News & Events

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

Main news site: http://blog.eyewire.org/
Frequency of project news updates: less than weekly
Type of events: MeetUps, other
Frequency of events : 4

Community description

Community size (volounteers based): 80 000
Role: Interaction form:
Has official community manager(s): N/A
Has team work N/A

Other information about community: Community can make suggestions in threads on the discussion forum which project staff look at and respond to accordingly.
Community led additions:

7 OTHER PROJECT INFORMATION




Photo.jpg Yes [[has completion level::Medium]

http://wiki.eyewire.org/en/Who we are and what we do.

Massachusetts Institute of Technology - 77 Massachusetts Ave, Cambridge, États-Unis support@eyewire.org

Yes Neurology Natural sciences biology/medicine/neuroscience Identify and Maps all the neurons in the retina.


EyeWire The player's task is to select the areas that the AI missed, thus improving the trace of the neuron. In the interface, a three-dimensional view shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the task is complete, the player submits the task and is presented with another task. data analysis

crowdsourcing 3D manipulation, other: Thinking: yes Computing: no Sensing: no Gaming: yes

other

cool/attractive somewhat difficult to use yes yes strong yes somewhat yes

minimal badges, activity metrics N/A website, blog, forum, wiki Twitter, Facebook, Linkedin MeetUps, other 4 http://blog.eyewire.org/ 80 000 less than weekly Community can make suggestions in threads on the discussion forum which project staff look at and respond to accordingly.


N/A


Medium

Assessment:

Progression isn’t very clear, overall neurone you’ve mapped isn’t shown. Accuracy isn’t clear either as users don’t know if they’ve gotten it right. Volunteers don’t feel like part of the team but like unpaid interns.

Other Info:

Since President Obama announced the BRAIN initiative, the project have used this very well in their marketing to stress the importance of their aims. They use bold statements like “Obama wants to map the brain. You can help by playing EyeWire.”

Artificial Intelligence (AI) is used in the game to help volunteers complete it.


Bibliography

BIBLIOGRAPHY
Facts about "EyeWire"
Has Haklay typology levelcrowdsourcing +
Has addressMassachusetts Institute of Technology - 77 Massachusetts Ave, Cambridge, États-Unis +
Has citizen science subject areabiology/medicine/neuroscience +
Has collective performance feedbacksomewhat +
Has community managementCommunity can make suggestions in threads on the discussion forum which project staff look at and respond to accordingly. +
Has community managerN/A +
Has community toolsWebsite +, Blog +, Forum + and Wiki +
Has completion levelMedium +
Has contact person URLhttp://support@eyewire.org +
Has data types to manipulate3D manipulation +
Has event typesMeetUps + and Other +
Has events frequency4 +
Has field of scienceNeurology +
Has individual performance feedbackyes +
Has interface attractivitycool/attractive +
Has interface usabilitysomewhat difficult to use +
Has member profile elementsbadges + and activity metrics +
Has member profilesminimal +
Has number of forum members80,000 +
Has participant contribution typedata analysis +
Has participant task descriptionThe player's task is to select the areas t
The player's task is to select the areas that the AI missed, thus improving the trace of the neuron. In the interface, a three-dimensional view shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the task is complete, the player submits the task and is presented with another task.
e task and is presented with another task. +
Has peer to peer guidanceyes +
Has project access URLhttp://eyewire.org/ +
Has project descriptionEyeWire is a game where volounteers map th
EyeWire is a game where volounteers map the 3D structure of neurons. By playing EyeWire, they help map the retinal connectome and contribute to the neuroscience research conducted by Sebastian Seung's Computational Neuroscience Lab at MIT. The connectome is a map of all the connections between cells in the brain. Rather than mapping an entire brain, we’re starting with a retina.
ntire brain, we’re starting with a retina. +
Has project nameEyeWire +
Has project news sitehttp://blog.eyewire.org/ +
Has project news updatesless than weekly +
Has project purposeIdentify and Maps all the neurons in the retina. +
Has project start dateDecember 10, 2012 +
Has research progress feedbackyes +
Has screenshotPhoto.jpg +
Has social software sitesTwitter +, Facebook + and Linkedin +
Has subject areaNatural sciences +
Has team leaderSebastian Seung's +
Has team linkhttp://wiki.eyewire.org/en/Who we are and what we do. +
Has team workN/A +
Has training sequencestrong +
Has tutorials and documentationyes +
Has volonteer computingno +
Has volonteer gamingyes +
Has volonteer sensingno +
Has volonteer thinkingyes +
Is gaming genreother +
Is opentrue +
Last editionSeptember 25, 2013 +