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Data Science

911 Call Data Patterns

AZ
Client
Andrew Zaharia
Research

• This project focuses on developing an aggregator for 911 call data across selected U.S. cities. 911 call records are currently siloed in individual city data portals, often in inconsistent formats and lacking standardization. Our objective is to build a data pipeline that collects and harmonizes this data into a single, comparable dataset for analysis. • The project aims to uncover patterns in 911 calls for service for police (as opposed to emergency fire or emergency medical calls) — including who is calling, when, and why — to inform public safety alternatives and policy. It also contributes to ongoing research into how emergency calls correlate with crime, fatal police violence, and social determinants of health. • A parallel initiative on crime data, maintained by AH Datalytics via the RealTime Crime Index, will serve as a complementary resource. Some supporting code already exists to aid in navigation and data processing.

Course
Fall 2025Tools for Data ScienceData Science
Tech Stack
Python, Jupyter NotebooksSnowflakeMicrosoft AzureQuestionsTableauPythonFlaskStreamlitArcGIS