In this workshop, participants will engage with, learn from, and understand patterns in environmental data, using the results and data from  MIT’s City Scanner, a low-cost sensing platform that has been deployed in several cities including Cambridge and NYC. The activity centers around a workshop and coding activity focusing on providing an overview of environmental data collection and analysis, including plotting trends, detecting pollution hotspots, and producing air quality maps. The workshop will begin with a background lecture providing an overview of the science of environmental sensing, common measurement techniques, and key pollutants to track. Students will then begin to work on an interactive Python coding exercise. No previous knowledge is required, all are welcome