We learned that OpenStreetMap is a great source of data for tracking SDG indicator 11.7.1. OSM provides data on public open or green spaces in cities that is similar in quality to more “official” sources like municipal Open Data portals, and collecting the data from OSM requires relatively little effort.
We used three open datasets to calculate the number of people in the world who do not have sufficient access to a road in an effort to move forward the conversation on the Rural Access Indicator (RAI).
Machine learning on satellite imagery is revolutionizing disaster relief. What does ethical machine learning mean in this field?
In partnership with Downstream Strategies, we created MUB Monitor – a comprehensive GIS-based tool that helps water professionals track spills, assess watershed threats, and make informed decisions.
Over 1.3 million people are killed on the world’s roads every year. More than 30 million suffer life-changing injuries. Based on current trauma levels an estimated 400 million people will be killed or injured between now and 2030. Source: IDB Road crashes are a leading cause of death globally, but these deaths occur mostly in […]