These projects applied economic and social network analysis to data collected in interventions.
Google Powermeter evaluation This project provided an estimate of the potential for electricity savings for households that have access to real-time feedback technology. It also documented how this technology changes consumption profiles and impacts the persistence of energy savings.
Social media analytics with Twitter explorer
Understanding conversations in social media could provide program planners and communication managers unique insights into trending thoughts about energy efficiency and climate change. In 140 characters or less, the concerns, interests and public narratives about energy efficiency and climate change can be identified through tweets.
Diffusion modeling of behavioral interventions
Even if we cannot predict the exact amount of energy that may be saved due to various manipulations to change behavior, the possible interventions might at least be rank ordered. Such a ranking, crossed with cost, would be used in choosing which manipulations to employ.