Correlation between Major Crime Indicators and Twitter trends

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Toronto Police Service
Toronto, Ontario, Canada
Vitor Saiki Scarpinetti
Strategic Analyst Associate
3
Preferred learners
  • Anywhere
  • Academic experience
Categories
Data analysis Information technology
Skills
application programming interface (api) predictive analytics research
Project scope
What is the main goal for this project?

The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto.

The Service would like students to research and develop correlation models for the one of the MCI data sets (Homicide, Robbery, Assault, Theft Over, Auto Theft, Break & Enter) available on the Toronto Police Service’s Public Safety Data Portal (PSDP) and Twitter Streaming API, in order to :

1) Investigate potential relationships between that MCI and historical tweets and trending hashtags

2) Derive insights and patterns

3) Build predictive analytics models

4) Deliver a final presentation and/or report of findings and recommendations

MCI Data: http://data.torontopolice.on.ca/pages/major-crime-indicators

Homicide Data: http://data.torontopolice.on.ca/datasets/homicide-1

About the company

To Serve and Protect.

“We are dedicated to delivering police services, in partnership with our communities, to keep Toronto the best and safest place to be.”

Core Values:

- Service at our Core
- Do the right thing
- Connect with Compassion
- Reflect and Grow