The Quantified Self in the Smart City: Geo-Visualizing the Open Data of YOU

Accepted Session
Short Form
Scheduled: Wednesday, June 24, 2015 from 2:30 – 3:15pm in B304


How do we track ourselves and what does it mean for the places we live? What mapping tools can help us to quickly understand the data we're collecting?


The original notion of “quantified self” referred to an individual tracking her own personal data over time. Now the open hardware movement is scaling quantified self to the “smart city:" many individuals tracking themselves over large ranges of time and space. Especially as media-makers become thing-makers, and vice versa, how can we gain insight from all these personal and environmental devices?

This session is meant to help help makers not just collect data from their devices, but visualize, compare, and prepare data for further analysis. I’ll use my own project MindRider as a starting point to talk about some of the handy open source tools for this process (including Arduino, Tilemill, QGIS, Android, Leaflet, etc) as well as some other handy sensor and mobile APIs.


quantified self, city, map, geo, thing, hardware, sensor, bio, arduino, geography, environment, personal, data, mobile, smartphone, GPS

Speaking experience

Recent TV appearances: MSNBC, Discovery Channel, Science Channel
Recent presentations: ACM CHI, AlterConf, ADB Transport Forum, SXSW, MIT Media Lab, GeoNYC, NY Quantified Self, O'Reilly NewsFoo, Siemens Empowering People.
Current teaching: see This is a new talk based on my classes at NYU and MIT.

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