📅 2024-01-04 — Session: Developed frameworks for crime and operational data analysis
🕒 00:40–00:50
🏷️ Labels: Data Science, Policing, Framework, Crime Analysis, Operational Efficiency
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and develop structured frameworks for data analysis in the context of policing and public security.
Key Activities
- Reflected on the integration of data science within police departments, focusing on data types, collection methods, and ethical considerations.
- Outlined a hierarchical framework for organizing crime data, including categories like incident reports, victim and offender information, and cybercrime data.
- Developed a detailed structure for operational data in police work, covering aspects such as patrol information, staffing levels, and budget analysis.
Achievements
- Successfully created detailed frameworks for both crime data and operational data analysis, providing a structured approach to enhance law enforcement’s understanding and efficiency.
Pending Tasks
- Implement these frameworks in a real-world setting to evaluate their effectiveness and make necessary adjustments.