Crowdpee

Short term goal: develop a platform that asks users to supply information they are geographically well-suited to provide.

Medium-term goal: improve data coverage of unisex/accessible, etc. toilets in Zurich.

Long-term goal: open the platform to allow other organisations to submit requests for geo-crowdsourcing.

Components:

Data points of interest:

Progress

* Started developing the Twitter bot, which currently prints out tweets that happen within about 500m of a point of interest.

* The twitter bot now has an account: CrowdPee. It can identify tweets sent from within 100m of a point of interest and determine which point of interest is closest. It can reply to these tweets with this message: “Hi! We're looking for people to gather info about bathrooms in Zürich. (url of questionnaire)”

* The general website for questionnaires has been set up at nearbysources.com, using Django. Each campaign on the website contains a questionnaire, a tweet, and a thank you message, all of which can be stored in an arbitrary number of languages. The campaign also contains locations of interest, including name, lat and lng data.

* Questionnaire pages have been designed to be simple and easy to complete on both computers and phones.

* The CrowdPee campaign has been set up on nearbysources.com.

* To-do items after discussion at Hack Night 3:

Data

Team

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