March 13, 2022 01:00-02:00PM EST
Zoom Link:
https://us02web.zoom.us/j/86830805961?pwd=RytxNTBwWW9yOHBobUp2U0xjN3h5Zz09
Time | Event |
---|---|
1:00 - 1:10 | Intros and Ice Breaker |
1:10 - 1:20 | Presentation |
1:20 - 1:50 | Citi Map Workshop - Setup & Deployment |
1:50 - 2:00 | Q&A |
Please add your name below
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What kind of data are you interested in collecting around New York City?
Please add your initials with your response if you are comfortable, or respond directly on the Github Issue.
What Citi Map did you create?
Please add your initials with your response if you are comfortable.
Do you have any additional questions about Citi Map?
Please add your initials with your response if you are comfortable.
Urban data collection tools can take many forms, from clickers & clickboards to AI-enabled sensing devices. Each of these options present trade-offs between efficiency, accesibility, and privacy. Citi Map offers an open source, privacy-preserving digital tool for personal data collection that can be used while moving about a city. The goal of the project is to facilitate collecting real-time or time sensitive urban data that can be shared with other NYC residents.
Users choose their urban objects or behaviors of interest to customise the web app for their purposes. As an example, Mask Map is a Citi Map created to collect mask behavior data in NYC. Depending on what they observe around them, users click the emoji representing "mask", "half-masked", or "no mask". This open dataset can be used to visualize how mask behavior has changed over time and across the NYC - https://maskmap.us/.
After an introduction to the project and Github repo, workshop participants will have the opportunity to adapt Citi Map for their own projects, through an interactive coding session. Potential projects include: tracking different kinds of trash on the street, blooming cherry blossom trees, or public bench locations. Please log your item of interest ahead of the workshop here - https://github.com/dingaaling/citi-map/issues/5.
The event will be lead by Citi Map & Mask Map co-developers Jennifer Ding (Research Application Manager @ The Alan Turing Institute | @jen_gineered) and Marco Berlot (Software Engineer @ IBM | @MarcoBerlot).