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Presentation by Martha G Russell to Wireless World Research Forum in Vancouver BC on October 21, 2013. Smart meters and related sensing technologies promise that energy information will change energy use. However, information complexity, poorly designed interfaces, and lack of engagement jeopardize billion dollar infrastructure investments because sensors, signals and sense-making are not designed to modify behavior and because context is ignored. Information and resources flow through human relationships when context and values are shared. Using social media to harvest Twitter data about energy use and online press release type information about business innovation, social network analysis provides insights about issue framing, public engagement, and innovation ecosystems. These signals are seen in the larger context of the Stanford ARPA-E Sensor and Behavior Initiative to develop a comprehensive human-centered solution that leverages the anticipated widespread diffusion of energy sensors to significantly reduce and shift energy use.