Topic: Program evaluation
US EPA National Emissions Inventory data collected for point, area and mobile sources
Benefits of reducing PM and ozone precursors on a per-ton basis
This resource, managed by the EPA Office of Congressional and Intergovernmental Relations (OCIR), serves as the primary gateway for state, local, and tribal officials to navigate federal environmental resources, funding, and collaboration frameworks
A tool used to quantify the number and economic value of air pollution-attributable deaths and illnesses
Collection of information about air pollutant emissions controls selected by the Regional Air Quality Council, the lead planning agency for the Denver Metro/North Front Range region. The web resource includes information on the emissions reduction potential, costs, and impacts of a set of control strategies for NOx and VOC emissions to address ambient ozone.
CDC uses program evaluation to answer important questions about public health programs through methodical and intentional engagement with interest holders.
The Framework for Evaluating Damages and Impacts (FrEDI) is a peer-reviewed, open-source, reduced complexity model that draws on peer-reviewed information to rapidly project the annual impacts of climate change within the United States, through the 21st century, under any custom temperature trajectory.
A example of a logic model and blank logic model template provided by the US EPA used to provide the roadmap of a project. From the document: "Logic models are useful tools for defining the educational and environmental outputs and outcomes that are planned to accomplish the goals and objectives of the project. A logic model is a visual presentation of the relationships between your work and your desired results. It communicates the performance story of your project, focusing attention on the most important connections between your actions and the results. A logic model can serve as a basic road map for the project, explaining where you are and where you hope to end up."
R package that provides 1) machine learning to predict air pollution under average weather conditions, 2) a method to quantify the impact of air quality policies on air pollution. It includes functions for data collection and preparation, model building, performance evaluation, and causal impact analysis.
