I love midterm presentations. It launches the transitional period in which I start stepping back, and the students start shaping the class in their own way. Our guest critic David Briggs, a director of digital marketing, said that the presentations were inspiring and energizing, and I completely agree. Many senses and many scales were considered […]continue reading Session 7: Midterm presentations.
[Post in Progress] Announcements Columbia’s IoT Mini-Symposium http://projects.studio20nyu.org/ny-tenants/ NYU Urban Democracy Lab Visions of the Connected Home: attend and/or present Boston Chloride level (with Catherine D’Ignazio/Emerson/Public Lab) http://publiclab.org/tag/sensor-journalism Sensor Journalism Webcasts State of the Map Transportation Camp Progress reports and brainstorms: midterms Varun/Graham/Justin Michael/Bartosz/Tong Tania/Clàudia Kania/Dimas Will Greg/Matt Chanyeon Follow-ups on iOS tutorial. GPS shield. Adafruit […]continue reading Session 6: GPS, Midterm prep.
Measured human behavior = capacity for behavior change. Widely accepted in other municipal pursuits, this concept is still under-acknowledged in the field of waste management, as guest lecturer Kate Mytty discussed in her presentation of waste tracking research conducted in the Indian cities Pune and Muzzafar Nagar. Muzzafar Nagar’s informal trash pickers, who live on […]continue reading Session 5: Waste Tracking and Mobile Development
While it’s not generally feasible to learn how to build an iOS app from scratch in one three-hour session, the aim of this crash course is to help you to take the existing Bluefruit LE app and modify it to collect data from any Arduino-compatible sensor. How This Tutorial Works For each feature that you add to the app, […]continue reading QSAT Crash Course: iOS, Swift, CoreLocation (via Arduino+Bluefruit+sensor systems)
What a difference a year makes. When she presented in my class last year, Jennifer Sta. Ines was a new colleague who presented her work as a GIS specialist for NYC DOT’s bike share program. Now Jennifer is both a friend and collaborator on the MindRider project, so it was great to hear an update […]continue reading Session 4: Transportation Planning & Analysis
Today’s session followed the usual macro/micro format, starting with a guest lecturer to provide big-picture context, and ending with hands-on labs for more in-depth skill development. Our guest lecturer, Lela Prashad, is Chief Data Scientist at NiJeL.org and technical adviser to my MIT thesis project, OpenIR. She specializes in geospatial data analysis, particularly with multi-spectral […]continue reading NYU Session 3: Applications of Remote Sensing
The range of student backgrounds and voices continues to engage, excite, and make for lively discussion and experimentation. As Anthony Vanky said during the MIT workshop, I take a “mile-wide, inch deep” approach to structuring graduate workshops, with the aim of giving students a fat set of tools for going a mile deep on their […]continue reading NYU Session 2: Data Journalism and Sensors
In today’s first session, we got situated with basic housekeeping + intros, some background lecture, and some hands-on exercises. I’m very pleased to see a few different departments represented in this class: ITP of course, CUSP (NYU’s Center for Urban Science and Progress), and Journalism. Students represent a wide range of previous experience, from animation, to computer […]continue reading NYU Session 1: Orientation