The Covid-19 pandemic has had wide-ranging socio-economic consequences whose long-term impact might prove difficult to assess. One such area is crime. While studies are available on the effect of Covid-19 on crime rates in Italy, we feel this is a highly impactful research area that has not received enough attention, and robust analyses based on ML may strongly contribute to our understanding of the phenomenon and have a positive, lasting impact.
To leverage ML and AI tools to further our understanding of Covid-19’s effects on crime. This would 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:
– have, e.g., lockdowns reduced or increased crime rates overall?
– In which areas and regions have these changes proved most dramatic?
– Have certain specific types of crimes narrowed in frequency while others (such as domestic violence) have spread further both at the time of the pandemic and ot date?
– How has the “geography” of crime changed overall?
– What specific factors, if any, can we isolate that explain these changes?
– Are there significant differences in how they have affected urban rather than rural areas?
– What can we predict about these trends in the near- and medium-term?
Problem scoping and preliminary research
Evaluation and summarization
Contribute to local challenges Educate and empower local talent while contributing to the real-world local problems solutions Flag results to the local policymakers to help them on their data-driven decision-making