Over a period of one year, I continuously tracked the GPS location of 1000 anonymous volunteers in NYC via a custom app they installed on their phones. I used these data to train an artificial intelligence algorithm similar to what is used for self-driving cars, realistic computer voices, predictive policing, and myriad other emerging applications (an LSTM recurrent neural network).
This AI was subsequently able to generate a new path around NYC that synthesized the daily behaviors of all of the volunteers. I followed it through the city for one week without stopping, getting directions from the system in real-time on my phone. I took photographs and wrote in a journal about my encounters along the way.
For more information, see “Stalking the Smart City” in Urban Omnibus, 2019 (publisher)