This project seeks to aid decision making in energy-efficiency initiatives from government policies to business campaigns. Researchers will first create a crowd-sourced process for feedback on critical assumptions in residential energy conservation. Then they will develop analytics and metrics to identify critical changes in factors influencing public opinion regarding efficiency technologies and their adoption. The end product will also include visualizations of the data for easy access by targeted decision makers and group processes for augmented decision systems.
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