EyeWire

PROJECT

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

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

PROJECT DEFINITION

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Subject

Natural sciences > Neurology (biology/medicine/neuroscience)

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.

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ABOUT PARTICIPANT TASKS

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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.

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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

ABOUT GUIDANCE AND FEEDBACK

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

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COMMUNITY

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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:

OTHER PROJECT INFORMATION

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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