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