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The Making of Cityblocs.ca: See how your city councillors vote without reading city council minutes

Track this Session

City politics can be difficult to figure out, especially in cities without political parties. To make it a little easier to follow along, CityBlocs asks a simple question: are there patterns hidden in the voting habits of city councillors? Combining social science with text parsing, web scraping and network visualization, CityBlocs is a tool developed in 2014 by the founders of Centrality Data Science (Paul Fairie, Adam D’Souza and Michael Underwood).

Key Take Aways

  • The challenges and opportunities for tool building presented by different open data standards
  • The challenges and opportunities for tool building to make understanding government easier
  • What is Open Data
Beginner Design & Development Session

Speakers

Q: Did you change venues for the party?

Yes, we have returned to the Ryerson’s Rye in the Ram pub due to popular demand to give guests more space to network after the event. And more space for foosball, of course!

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