Toronto Police Service
Toronto Police Service
Toronto, Ontario, Canada
Description

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

Year established
1834
Industries
Defense & security Government

Socials

Recent projects

Data visualization improvement

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 recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics

Admin Vitor Saiki Scarpinetti
Matches 1
Category Computer science - general + 2
Closed

Data visualization improvement

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 recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics

Admin Vitor Saiki Scarpinetti
Matches 1
Category Computer science - general + 2
Closed

Insights and recommendations to decrease an MCI

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 examine Major Crime Indicators (MCI) data* available on the Toronto Police Service’s Public Safety Data Portal (PSDP), in order to conduct: 1) Exploratory Analysis of one particular crime type from the MCI dataset (Homicide, Robbery, Assault, Theft Over, Auto Theft, Break & Enter) 2) Insights of main crime tendencies and correlations with demographics, other MCIs, temporal data (time of day, day of week), and other factors 3) Final report and/or presentation of recommendations to decrease the crime rate and enhance crime prevention of the selected MCI *Consideration to be given on the use of text mining of street names and free form notes MCI Data can be found at http://data.torontopolice.on.ca/datasets/mci-2014-to-2019

Admin Marissa Fosse
Matches 1
Category Information technology + 2
Closed

Correlation between Major Crime Indicators and Twitter trends

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

Admin Vitor Saiki Scarpinetti
Matches 1
Category Information technology + 2
Closed

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