We’ve written a number of stories here on the Streamdata blog regarding city data. Showcasing the ways in which problems within cities get reported using 311 data, and how we understand traffic and transit using 511 data, as well as taking a look at emergency data with 911. We want to continue this work with more investment in understanding what data is available at the local level, and how APIs and streaming technology can make this data more accessible, and usable in dashboards that keep citizens informed, and possibly used to train machine learning models that help make sense of what is happening at the ground level. As part of our local data work, we will be looking at local businesses, real estate, churches, clubs and associations, events, activities, and other relevant information that impacts life at the local levels.
We want to understand how data is being generated, stored, and made available (or not) within our communities, and how APIs can be put to use and help make this local data more of a first-class citizen. Without APIs, this data is often locked up in existing systems, spreadsheets, and available on websites, but not able to be easily used in other mobile devices, and consumed by many different users at one time. Impacting life, and business at the local level in a negative way, unless we can help make things more machine-readable by default. https://goo.gl/jEeEYs #DataIntegration #ML
