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How Data Can Help—and Harm—Community Safety Programs
“Predictive policing, or predictive bias?”
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SUMMARY - How Data Can Help—and Harm—Community Safety Programs

A city launches a data-driven crime prevention initiative, mapping where crimes occur, identifying hot spots, directing resources to high-crime areas, and the data shows concentrated crime in neighbourhoods that are also concentrated poverty, concentrated racialization, concentrated historic disinvestment - but the intervention is more policing, not more investment, and the data that could have revealed root causes instead directs enforcement.

Alberta
in How Data Can Help—and Harm—Community Safety Programs

[FLOCK DEBATE] Data's Impact on Community Safety Through Police Programs

Title: Data's Impact on Community Safety Through Police Programs: Balancing Privacy and Public Security

In today's digital age, data plays a significant role in various aspects of society, including community safety. This debate explores the influence of data on police programs and its implications for Canadians. The discussion centers around the tension between privacy concerns and the potential benefits of utilizing data-driven policing strategies to enhance community safety.

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This thread documents how changes to How Data Can Help—and Harm—Community Safety Programs may affect other areas of Canadian civic life. Share your knowledge: What happens downstream when this topic changes? What industries, communities, services, or systems feel the impact? Guidelines: - Describe indirect or non-obvious connections - Explain the causal chain (A leads to B because...) - Real-world examples strengthen your contribution Comments are ranked by community votes. Well-supported causal relationships inform our simulation and planning tools.
Alberta
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