Today, workshop participants are asked to talk about what they’d like to do with the insights and skills gleaned from the previous sessions.
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Today, workshop participants are asked to talk about what they’d like to do with the insights and skills gleaned from the previous sessions.
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New York events: contact Arlene to participate. Feb 3, 12-3pm: Share your projects (via 10-minute videoconference session) with my NYU class to inspire, advise, collaborate. March 28: Big Data Fest at New York Hall of Science. May 30: Ideas City Festival at New Museum NYC. IOT Festival: contact Brian DeLacey to…
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New York events: contact Arlene to participate.
- Feb 3, 12-3pm: Share your projects (via 10-minute videoconference session) with my NYU class to inspire, advise, collaborate.
- March 28: Big Data Fest at New York Hall of Science.
- May 30: Ideas City Festival at New Museum NYC.
IOT Festival: contact Brian DeLacey to participate.
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[Above, session participants from left to right: Asresh Guttikonda, Anthony Vanky, Tom Maher, Eleanor Pence, David Newsom, Heba Kurdi] Today, we’ll finish up with hardware and talk about what we do with the data we collect. We’ll discuss tools for visualization and analysis, and start to ask, how do we take…
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[Above, session participants from left to right: Asresh Guttikonda, Anthony Vanky, Tom Maher, Eleanor Pence, David Newsom, Heba Kurdi]
Today, we’ll finish up with hardware and talk about what we do with the data we collect. We’ll discuss tools for visualization and analysis, and start to ask, how do we take this work further? As practitioners, how do we best leverage all the technologies available to us?
a bit of voltroning: Arduino transmitting hydrogen readings via Bluefruit LE. - More hardware stuff:
- Adafruit BLE breakout to the iPhone.
- Further practice (zip file). Set up a GPS/SD logger shield (arduino sketch). Pulse Plus GPS/SD logger
- Optional voltron time.
- Another useful resource: Instructables.com.
- Small batch PCB: https://oshpark.com/, http://www.smallbatchassembly.com/ (best small batch prices as of 2014)
- A bit more iPhone stuff:
- What do we do with the data? Options.
- Write out to CSV via Processing (Tutorial)
- With a geo-located data set like this MindRider sample, we can visualize it in Tilemill. (Note issue with Yosemite)
- We can also visualize it for web with Leaflet.
- Simple analysis in QGIS. Resource: QGIS Tutorials and Tips.
- Real-time 3D vis: http://www.moviesandbox.net/
- Data Resources
- https://www.temboo.com/
- https://xively.com/
- http://data.sparkfun.com
- http://www.socrata.com/ (hosts NYC Open Data)
- Fabrication Resources
- MIT Hobby Shop
- Danger Awesome (Central Square)
- P.irateship (Sommerville)
- Industry Lab (co-working space with fabrication-oriented companies)
- Back to context. talk: Spatial Considerations. Smart City.
- Please send me 3-5 slides to discuss tomorrow. 15 minutes per person.
Case study of quantified self plus municipal data in New York City. Colored dots indicate the mental state of a cyclist. Dot density indicates 311 calls to the NYC Department of Transportation. - More hardware stuff:
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Today’s session is mucho maker. We’ll do one more activity together; we’ll a photoresistor to our circuit. This will give you each enough basic skills to bust out independently. We’ll try this by each choosing a different sensor from the list below, and using online resources to connect that sensor to…
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Today’s session is mucho maker. We’ll do one more activity together; we’ll a photoresistor to our circuit. This will give you each enough basic skills to bust out independently. We’ll try this by each choosing a different sensor from the list below, and using online resources to connect that sensor to our circuit. We’ll prepare to “voltron” our sensors together in Session 3.
- Announcements: Ideas City. Big Data Fest.
- Analog in: photoresistor. Sample Arduino code.
- Digital in: DHTXX temp sensor.
- Pick a sensor from the list below and try to hook it up!
CLASS RESULTS
- Eleanor: Pulse Sensor
- Asresh: Gas Sensor
- Tom: Triple-Axis Accelerometer
IMG_0041
SENSOR LIST
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For our first session, we’ll get started by setting the stage for our hands-on activities. We’ll talk about context, our experiences and biases, our questions, the issues we see in our respective fields, and our goals. Then we’ll start making stuff. Hello and intros. Overview of modules that we will…
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For our first session, we’ll get started by setting the stage for our hands-on activities. We’ll talk about context, our experiences and biases, our questions, the issues we see in our respective fields, and our goals. Then we’ll start making stuff.
- Hello and intros.
- Overview of modules that we will connect. (sensor system flowchart)
- Slideshows on Contexts:
- Overview of mobile platforms (developer/designer perspective, business perspective). iOS.
- Overview of prototyping platforms. Physical Computing. Arduino. Quick Start Guide. Dummies guide. Suppliers.
- Lab: Digital I/O with Arduino.
- Some preparatory reading.
- MIT Tech Review, Business Report: Cities Get Smarter
- Fast Company: NYC Hudson Yards as Quantified Community
- Next City: Quantifying Our Cities, Ourselves.
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MIT IAP Workshop: Physical Computing in Urban Studies. See class posts here. January 20-23, 12-3pm Limited to 16 participants Attendance: Participants must attend all sessions How can urban planners take advantage of the connected technologies that are starting to transform individual data to massively larger scales in time and space?…
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MIT IAP Workshop: Physical Computing in Urban Studies.
See class posts here.January 20-23, 12-3pm
Limited to 16 participants
Attendance: Participants must attend all sessionsHow can urban planners take advantage of the connected technologies that are starting to transform individual data to massively larger scales in time and space? From smartphones to wearables, from social media to quantified self, the aggregation and geo-location of data is becoming a major part of urban studies and planning.
In this workshop, we’ll look at how we can design and deploy with some of the most commonly hackable instruments– microcontrollers, sensors, and phones– that collect urban data. The workshop should give students the physical computing resources they need to deploy their own small data collection networks. Unique to this workshop, we’ll also consider the political, historical, and social underpinnings of using these sensors in the urban environment. The findings from these sessions will be carried forth to a spring 2015 class at NYU ITP called “The Quantified Self About Town.”
Student Requirements: Interest in electronics and sensors. Experience in building simple circuits is preferred but not required. Please bring an Arduino Starter Pack (or equivalent components), your iOS device if you have one, and your laptop to class.
Sponsor(s): Urban Studies and Planning
Category(s): Computer Hardware and Devices
Contact: Arlene Ducao, arlduc [at] mit.edu
SparkFun Infrared Proximity Breakout – VCNL4000
Optical Dust Sensor – GP2Y1010AU0F
Vibration Motor
Alcohol Gas Sensor – MQ-3
Piezo Vibration Sensor – Small Horizontal
Carbon Monoxide Sensor – MQ-7
Methane CNG Gas Sensor – MQ-4
LPG Gas Sensor – MQ-6
SparkFun Capacitive Touch Sensor Breakout – MPR121
Load Sensor – 50kg
Piezo Element
Hydrogen Gas Sensor – MQ-8
