Via Science’s Work on CrimeRadar Featured in WIRED, TED Blog

In August, Via Science released public safety digital application, CrimeRadar, in partnership with the Igarapé Institute. The app uses predictive analytics, supported by Via Science’s microservices architecture, Focus™, to forecast the probability of crime occurring throughout metropolitan Rio de Janeiro.

Via Science’s contributions to this app have been featured in several publications since its release, including:

  • WIRED “CrimeRadar is Using Machine Learning to Predict Crime in Rio”
  • TED Blog “Forecasting Crime in Rio de Janeiro”
  • The Atlantic’s City Lab “Mapping ‘Pre-Crime’ in Rio”
  • Artificial Intelligence Online “CrimeRadar is Using Machine Learning to Predict Crime in Rio”
  • Data Informed “Push Your Analytics Out to Customers”
  • World Economic Forum “What happens when we can predict crimes before they happen?”

 

How It Works

  • A user opens the app and can search for a specific address.
  • For example, if a user searches for the Olympic Arena (pictured below), the result is a color-coded guide to potential crime levels within a 250-square meter radius.
  • Users can view the historical data used to generate these ratings through the “Past” feature. The app will display data provided by the Institute of Public Safety detailing types and frequency of crimes in each sector.
  • Users can also filter their search by types of crime and time frame.
  • For more information on CrimeRadar, visit our website.

 

A user opens the app and can search for a specific address.

 

 

 

 

 

 

 

 

 

For example, if a user searches for the Olympic Arena (pictured below), the result is a color-coded guide to potential crime levels within a 250-square meter radius.

 

 

 

 

 

 

 

 

 

Users can view the historical data used to generate these ratings through the “Past” feature. The app will display data provided by the Institute of Public Safety detailing types and frequency of crimes in each sector.

 

 

 

 

 

 

 

 

 

Users can also filter their search by types of crime and time frame.