1. Real-Time Cities: an Introduction to Urban Cybernetics Harvard Design School: SCI 0646900 Spring 2014 WENDY W FOK, GSD - Doctoral Student / HLS - Teaching Fellow (CopyrightX) Exercise #1: Sensing / Data / Actuation

2. Crowd sourced data 1 | Cognitive Geometrics 2 | Minimal Relaxation 3 ] Mechanical Garden 4 | La Technologie Culturelle d’Objet (Imminent Domain) 5 | Systematic Narcissism

3. Cognitive Geometrics – Toronto Design Week, Toronto, Canada (2012) Artist – Wendy W Fok http://studio-wf.com/#16561559938 1 | Data Sensing / Actuation

4. Minimal Relaxation – Museum of Contemporary Arts – Shanghai, China (2013) Collaborators – Neil Leach / Alvin Huang / Wendy W Fok http://studio-wf.com/#33736052329 1 | Data Sensing

5. Mcchanical Garden – Museum of Contemporary Arts – Shanghai, China (2013) Collaborators – Philip Yuan / Alvin Huang / Michael Fox / Wendy W Fok http://studio-wf.com/#31577519386 1 | Data Sensing Video: http://vimeo.com/47987190http://vimeo.com/47987190

6. La Technologie Culturelle d’Objet (Imminent Domain) – Asia Society, Hong Kong Center (2013) Chief Curator – Fumio Nanjo / Co-curators – Amy Chow / Dominic Chow / Artist – Wendy W Fok http://studio-wf.com/#41426016509 1 | Data Sensing

7. Systematic Narcissism – TENT – London Design Festival (2012) Artist – Wendy W Fok http://studio-wf.com/#31611625439 1 | Passive Sensing / Actuation

8. 1 | reCAPTCHA How was the data collected? Why was the data collected? What is interesting about the data? What stories about the urban dynamics can the collected data tell? What sort of questions about urban dynamics can be answered by looking at the data? How is the magnitude of the data is dealt with; limiting the collected data, limiting the dimensions in the data set, or abstracting the data?

9. 1 | reCAPTCHA How are particular patterns highlighted through techniques for tagging the data in order of their importance? How does the original question to be addressed operate as the benchmark for eliminating unnecessary details in the data? Is the data of a static or dynamic nature? If dynamic, what is the frequency of change and what happens when it starts to change? Who is the target audience of the data presentation? What are their goals when approaching the data presentation? What do they stand to learn?