Assessing the Impact of Covid-19 on Crime Rates in Italy Using Machine Learning

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Omdena Milan, Italy Chapter.

The problem

Machine learning tools can further our understanding of Covid-19’s effects on crime. These effects can include both the “short-term” impacts and “long-term” effects that might to this day not be fully understood. As such, problems to be addressed may include:

• Did lockdowns reduce or increase crime rates overall?
• In which areas and regions did these changes prove to be most dramatic?
• Were certain specific types of crimes less frequent while others (such as domestic violence) more both at the time of the pandemic and today?
• How has the “geography” of crime changed overall?
• What specific factors, if any, can we isolate that explain these changes?
• Are there any significant differences in how they affected urban rather than rural areas?
• What can we predict about these trends in the near and mid-term?

The goals

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work