Edit Citizen science project: EyeWire

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Project information
Project name
Project access URL
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Infrastructure (platform)
Using software	Amazon mechanical turk API BOINC client software BOINC server software CartoDB Citizen science custom software EpiCollect mobile app EveryAware Platform MediaWiki software Pybossa Sapelli Suite Semantic Forms extension
Dates Leave the end date open if the project is still alive	Start: End: Is open: Beta start:
OECD Subject Areas According to the OCDE FOS 2007 classification	Humanities Natural sciences Engineering and technology Medical and health sciences Agricultural sciences Social sciences
Typical Subject Areas Most popular citizen science areas as found in citizen science portals	nature/conservation environment/climate geography/urbanism history/archeology biology/medicine/neuroscience physics space N/A other
Fields of science Enter a list of fields, separated by commas:
Project 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 of project:	Identify and Maps all the neurons in the retina.
Research questions:
Geographic location of activities:

About Team
Project team leader
Institution of the main team
Partner institutions Enter a list of partners, separated by commas.
Project team link
Official contact person
Contact url
Location of the (main) team Enter address, e.g. Street, City, Country	Massachusetts Institute of Technology - 77 Massachusetts Ave, Cambridge, États-Unis

Participant tasks and interfaces
Task 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.
Participant retributions
Haklay typology of participation
Grey typology	Volonteer computing: no yes somewhat Volonteer thinking: no yes somewhat Volonteer sensing: no yes somewhat Volonteer gaming: no yes somewhat
Data types to manipulate	text pictures sound simulation 3D manipulation observations none - N/A other :
Contribution type	data analysis data collection data interpretation
Gaming elements	achievements reward batches points score boards challenges other
Gaming genre:
Interaction with objectsPlease describe in some detail how participants interact with the system while performing citizen science task
Interface fun/enjoyment	None/unknown cool/attractive somewhat cool/attractive rather not cool/attractive not cool/attractive
Interface usability	None/unknown easy to use rather easy to use somewhat difficult to use difficult to use tool or download broken

Guidance
Guidance	Tutorials: no N/A yes somewhat Peer to peer guidance: no yes somewhat N/A Training sequence: no strong weak N/A
Feedback on	Individual performance: no yes somewhat N/A Collective performance: no yes somewhat N/A Research progress: no yes somewhat N/A
Description of guidance and feedback

Community
Member profiles	no N/A detailed minimal
Member profile elements	photo personal interests pseudo badges activity metrics other
Community tools	website blog newsletter forum chat wiki other
Community size (volounteers based)
Has one or more official community managers	no yes maybe N/A
Frequency of project news updates	None/unknown N/A daily several/week weekly less than weekly
Project main news site Pick the URL that announces most information about the project, typically a blog page
Project social software sites	N/A Twitter Facebook Linkedin other
Event types	MeetUps Hack Days Social events other
Frequency of events per year
Community description (other)	Community can make suggestions in threads on the discussion forum which project staff look at and respond to accordingly.
Community roles
Community interaction forms:
Team work	N/A yes no
Community awareness tools
Community led additions

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'''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.

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Edit Citizen science project: EyeWire

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