This book explores energy data through its impact on the built and natural environment, social equity, and environmental sustainability. It leverages responsible innovation and problem shifting as paradigms to understand the current benefits and challenges at different stages of energy data, beginning with the production of energy data to energy data sharing, and its management and storage. Responsible innovation designs and delineates the processes, strategies, and norms of innovation, and problem shifting examines the shortfalls of a responsibility that creates solutions for a focal group while handing burdens to another. The book also interrogates current energy data ethics and energy data governance by considering possible alternatives like data donation, consumption corridors, and imaginary future generations for re-imagining energy data. Energy data is both an outcome and a driver of energy technology and social dynamics; thus, they can bring about significant changes to existing technological infrastructures and processes.

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Le Anh Nguyen Long is an assistant professor in public administration. Her work centers on advancing understanding how societal actors (including citizens, NGOs, businesses, and governments) shape the governance of energy technologies like hydraulic fracturing (or fracking), solar panels, and wind turbines. Increasingly, the digitalization and datafication of these domains have made it impossible to ignore the socio-cultural and socio-political implications of energy data. Le Anh Nguyen Long's expertise on energy governance can help the reader understand these often invisible yet critical facets of energy data.

Dasom Lee is an associate professor in the Graduate School of Science and Technology Policy at the Korea Advanced Institute of Science and Technology. Her research focuses on responsible innovation (anticipation in particular), cyber-physical systems, and the energy transition. This book is an attempt to expand the boundaries of energy studies to include the politics of data and to enhance and encourage the multidisciplinarity that is required in researching energy data.