Predicting Water Main Breaks

Predicting Water Main Breaks

This past summer, we partnered with the Water Department and the Eric and Wendy Schmidt Data Science for Social Good Fellowship to work on developing a model that predicts how at risk water mains are of breaking. In the months following the partnership, we've seen that the model they built is giving us intelligence about the water system that supplements the knowledge of the crews that attend to it every day. Using data to predict how risky water mains are helps us plan for their maintenance and replacement, and allows us to better coordinate construction work across the different infrastructure systems. The project also showed us what it takes to have a positive partnership on a data project like this.

Infrastructure: It's not really goodbye

Infrastructure: It's not really goodbye

To date, we have launched thirteen initiatives and programs.  We would like to share a report which details our work and discusses each initiative in detail. The link to our infrastructure report is below.  Please check it out, and let us know your comments, questions, or suggestions in the comments below!

Civic Data Hackathon: Syracuse Roads Data Challenge Powered by AT&T

Civic Data Hackathon: Syracuse Roads Data Challenge Powered by AT&T

Today, we are excited to announce the launch of a Civic Data Hackathon: Syracuse Roads Data Challenge powered by AT&T. The City is releasing data about its roads and potholes, and we’re asking you to look at the data, along with information from other government entities, and tell us what you find.