Final Week Projects

How to show you can create Order and Chaos together. You’re welcome. 😉

Published

May 25, 2020

Modified

May 27, 2026

Final Course Exercises and Projects

Project 1: Crime Scene

Project 2: Historical Scene Depiction

Project 3: Live Data Gathering Experiment

Project 4: Cryptographic Post Office

Project 5: Orchestral Manoeuvres in the Dark over Wi-Fi

Task:

  1. Create an experience to enable multiple users to simultaneously use hand-phone gestures to create collaborative music/sound.
  2. Viewers must use dance and/or gestures holding handphones, to create music together .
  3. Each user must be able to control unique aspects of the music to create a collaborative piece each time.
  4. There must be clear opportunities and instructions for collaboration based on a Stag Hunt / Coordination Game.

Tools: Software: Pure Data for sound synthesis; Android apps like Sensors2OSC for sensor data logging and sharing over WiFi Hardware: WiFi network hotspot; Smartphones; Laptop or Raspberry Pi running PureData

Ideas from our Course: Proximity; Game Theory / Stag Hunt; Networks and Graphs

Resources:

Project 6: Living on the Ceiling

Task:

  1. Use physical movement in the room along with smartphone sensor data to project a live Voronoi Diagram on the ceiling. (Hat tip to Anuja Gaikwad, FSP 2019-2020)

Tools: Software: Processing; Android apps for sensor data logging and sharing over WiFi `Hardware: WiFi network hotspot; Smartphones; Arduino + Wi-Fi; Makey-Makey’

Ideas from our Course: Proximity; Schelling Points

Resources:.

Project 7: Nightmare at Room 307

Task:

  1. Create strange bloodcurdling sounds based on where individuals are standing in the room.
  2. Participants need to move, perhaps be blindfolded and wear headphones / earphones.
  3. If they can experience “pain” in some way based on location, that would also be good. 🤣.

Tools: Software: Geogebra or R/RStudio; Android apps for sensor data logging and sharing over WiFi Hardware: WiFi network hotspot; Smartphones; Arduino with Wifi; Makey-Makey for position location based on footfall

Ideas from our Course: Proximity; Schelling Points

Resources:

Project 8: Friends (Season 65, Episode 12)

Task:

  1. Use this article in the Atlantic Magazine as inspiration: How friendships in Change in Adulthood.
  2. Create a physical graph/network related installation, based on personal, or crowd-sourced, or fictitious but plausible friendship data, and show in an interactive way how these friendship networks change over time.
  3. Use our collected college network data, and inspiration from https://graphcommons.com as a starting point.
  4. Can embed electronic (lights) or computed elements ( touch ) , if desired from an aesthetic point of view or to create/enhance Viewer participation.
  5. The installation should show small changes over “time” and must be wilfully and meaningfully degradable by viewers.
  6. Water, ink, knives, or flame, rubber-bands and oil are possibilities. 1. No acid.

Tools: Software: None specified. graphcommons.com and RStudio are possibilities. Arduino can also be used for embedding computational elements. Hardware: None specified. NO THERMOCOL.

Ideas from our Course: Networks and Graphs; Connectors and Hubs; Network Dynamics and Measures; Erdos-Renyi / Watts-Strogatz / Barabasi-Albert models; Power Laws

Project 9: Six Degrees of Separation

Task:

  1. Read the Skit/Play , “Six Degrees of Separation” by John Guare.
  2. Stage or show in some way, part or all of it.

Tools: Software: None specified Hardware: None specified. NO THERMOCOL.

Ideas from our Course: Networks and Graphs; Network Dynamics

Project 10: Way-Spotting Game

Now that we have an idea of nodes, links and costs, let us get an experience of some more network science ideas:

  1. Head over to https://medium.com/\\\@ran_katzir/teaching-network-science-using-board-games-f78489a3b3bd
  2. Make sense of the Board Game described there in detail.
  3. Build the Game!!
  4. Note if you can see the following:
    • Frequently Used Nodes
    • Frequently used Links

Ideas from our Course: Network Traversal, Node Degree, Centrality, Betweenness, Link Values or Costs

Back to top