Visualizing Energy communicates facts on the link between sustainable energy and human well-being to decision-makers, media, companies, advocates, educators, and the public.
Visualizing Energy is an independent and neutral university-based research and communication organization.
We knit data analysis, visualizations, and the written word into stories that reveal how our energy system can be transformed to reduce inequity, steer humanity from climate disaster, improve health and other social outcomes, and lead to healthier natural systems. We address the energy system itself (sources, conversion, end use), economics (prices, investment, market failures), social outcomes (well-being, energy poverty, and climate justice), and environmental change (climate, pollution, and land and water use).
The internet is awash in information about energy, climate change, and health impacts of pollution. But society is deficient in a shared understanding of how our energy system must change. One reason for that is that information is siloed by technology, policy, and disciplines. We use the unique role of energy in human affairs and natural systems as the unifying principle behind compelling, data-driven stories that point to solutions that are feasible, affordable, and equitable. We are interdisciplinary and collaborative, working with diverse teams and perspectives that span the broad energy landscape.
Visualizing Energy aims to accelerate a sustainable energy transition by deploying a more equitable system of knowledge. To that end, all the data, visualizations, and original text are freely available to all users. We license all our content under the Creative Commons BY license. Users have permission to use, distribute, and reproduce the data, visualizations, and articles provided the source and authors are credited.
We heavily rely on data that someone else produced. All the data in Visualizing Energy is attributed to its original source so that the user can independently judge its accuracy and reliability. We describe all major modifications that we make to data.