New Resource: Plume Labs Launches World Air Map: First Live Map of Air Pollution Around the World
From Plume Labs Blog:
…we are thrilled to announce today [December 2, 2015] the launch of our World Air Map, a live map of air pollution around the world.
The data revolution can help policymakers cut air pollution and communities take back control of their environment. We collect half a million open data environmental measurements from 11,000 stations every day to build predictive models using open data and data sciences that anticipate hourly changes in pollution levels in 200+ metropolitan areas around the world.
By leveraging cutting-edge data sciences and technologies such as artificial intelligence and machine learning, we can now estimate hourly air pollution levels everywhere in the world – including in areas that aren’t monitored stations. T
These models also anticipate long-distance transport of air pollutants, helping strengthen forecasting accuracy in urban areas.
Read the Complete Blog Post
Direct to World Air Map
From Venture Beat:
The World Air Map is produced by Plume Labs, a Paris startup that debuted earlier this year. Plume pulls pollution data from monitoring stations around the worlds and makes the info available through an app on smartphones.
According to Plume founder Romain Lacombe, the company’s goal is to make the information available to people in a way that helps them make decisions every day to protect their health.
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.