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:
- List of points of interest (eg restaurants where we don't know what the toilets are like)
- Web-based system for data entry and cross-verification
- Twitter bot (and other bots, eg flickr watchers) to ask people to fill in data
- Crawler/scraper to find out additional information (contact info, etc.)
Data points of interest:
- unisex
- accessible
- baby changing facilities
- baby changing facilities for men
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:
- Make nearbysources.com questionnaire searchable to add data - done!
- Enable tweeting at the bot to receive a questionnaire
- Improve the results display and export function
Data
- Gastwirtschaftsbetriebe in Zurich Initial set of points of interest.
- Züri WC (rollstuhlgängig), Züri WC (nicht rollstuhlgängig) Existing data on toilets in Zürich
Team
- Rachel Knowler
- Vincent van der Lubbe
- David Stark