A Civic Data Science - The following case studies demonstrate  what’s possible when the right combination of device, data and decision making come together holistically to solve for civic challenges.

Data Discovery - Creatively use instrumentation, web scraping and/or other tools to measure a phenomenon in a new or different way.

• A near real-time approach to sense parking across the city

• Web Scraping 101 using NYC's DOE's Fair Student Funding Page

• Turning aerial and google streetview imagery into lawn counts

• Using Google Streetview and Camfind to programmatically detect fire hydrants

Data Integration - Organizing, formatting, and joining multiple heterogeneous sources to enable more robust analytical questions.

• Integrating 100’s of excel files using python’s glob and pandas libraries

• Merging monthly and annual water usage data to create a more robust conservation standard

Data Analysis - Generating meaningful insights through visualization, modeling and/or summary statistics.

• Machine assisted sentiment analysis on NYTimes comments

• Remembering that observational data includes both signal and noise (California water usage context)