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Air Quality Citizen Science Research Project in NYC: Toolkit & Case Studies
Increase citizen engagement in accessing, collecting, and communicating air quality data, thus providing tools to better inform communities on air quality issues. Provide communities with information for advocating for clean air. Increase data collection in communities that can offer additional spatial and temporal da-ta on pollution levels beyond existing NYCCAS and regulatory methods. These data can offer valuable insights into gradients near major sources and temporal characteristics that contribute to chronically high levels of pollution in many neighborhoods. Produce data for research efforts aimed at combining data from low-cost sensor networks with data from existing NYCCAS or regulatory monitoring networks. These statistical fusion techniques can help develop more spatiotemporally resolved exposure maps of air pollution exposure and inform how the City and other researchers use sensor data in the future. Develop data systems that allow for remote uploading of data to servers or citizen uploading of air quality data.