OpenQQ is a 501(c)3 non-profit based in Washington, D.C. Its mission is to aggregate and harmonize open air quality data across the globe and to build an ecosystem of people across sectors and geographies to use these open data to fight the unequal access to clean air to breathe – air inequality. The OpenAQ Air Quality Open Data Platform currently houses more than 500 million data points from 10,000+ stations in 93 countries and is the largest free and open air quality data platform of its kind, in terms of measurements and geographic scale. OpenAQ receives approximately 30 million data requests per month to their open and free API. The underlying platform platform that fetches, stores, and serves data is completely open-source and has subsequently been built by a global community of scientists, software developers and others invested in creating a global air quality air quality open data-sharing infrastructure over the past four years. The data are used for a wide variety of applications, including everything from air quality forecasts produced by NASA scientists to apps communicating air quality in Delhi to data-driven media reports by the general public. Additionally, OpenAQ has worked directly with governments to open up data sources in a variety of places, including Colombia, Bosnia, and Mongolia, as well as held city-level workshops in Ulaanbaatar, Mongolia, Delhi, India, Sarajevo, Bosnia, Accra, Ghana, and Kenya.
California State University Los Angeles College of Engineering, Computer Science and Technology
California State University, Los Angeles (CSULA) is the premier public comprehensive university in the heart of Los Angeles. A Hispanic-serving institution, CSULA ranks number one in the nation for the upward mobility of our students according to the New York Times. The National Science Foundation has listed CSULA as the top supplier of Latino science and engineering Ph.D. recipients among all undergraduate and master’s degree universities in the continental United States. Co-I Pourhomayoun is the founder and director of the Data Science Research Lab at Cal State LA. The mission of this Lab is to support education and research in the field of data science, machine and deep learning, and big data analytics. Currently, the research lab includes 10 graduate students, who are actively working on several research projects. Some of these projects are sponsored by industrial or governmental organizations. The Data Science Research Lab will continue to support graduate students in the field of data science.
Office of Mayor Eric Garcetti
Bureau of Street Lighting
The City of Los Angeles' Bureau of Street Lighting (BSL) is the most advanced Street Lighting Network in the world, and continues to develop better and more advanced public services and connected solutions for businesses, residents and visitors. The Bureau's ongoing commitment to seek out and implement new technology, provides services that improve the conditions and maximize the future potential for all residents and visitors. Understanding the importance of data, technology and its key role as vertical infrastructure for Smart City technologies, BSL has recently released its LA Lights Strategic Plan This plan provides a blueprint to expand LA's smart city capabilities, strengthen its digital infrastructure and facilitate community driven solutions for a better-connected Los Angeles now and in the future.
Information Technology Agency, City of Los Angeles
SmartAirLA empowers communities in Los Angeles suffering from pollution with technology and data to improve their health and environment. We are a public-private partnership with the Blue Shield of California Foundation, Los Angeles County Department of Public Health (LACDPH), and Asthma Coalition of Los Angeles County (ACLAC). SmartAir LA as a designated recipient of the technology and a potential for commercialization of the outcomes of this technology effort. They have committed to using the outcomes of this technology maturation effort in a commercial product that will be coming to market in the late 2021 time frame.