In the energy, environment and materials fields, big data plays an increasingly influential role. Combined with sophisticated analytical techniques, it is opening new opportunities for electricity generation and distribution, manufacturing, oil and gas, and sustainability. Attendees of the recent spring conference of the Energy & Environment Affiliates Program (EEAP), a partnership between member industrial firms and Stanford, learned from Stanford faculty and students about cutting-edge research, tools and techniques to solve industry challenges with big data.

EEAP Spring Conference 2014 - Big Data for Energy and Environment Highlights from on Vimeo.

During a special Environment and Climate Change section, presenters included Woods Consulting Professor Mary Ruckelshaus, managing director of the Natural Capital Project, and Woods Senior Fellow Noah Diffenbaugh (Environmental Earth System Science). Ruckelshaus discussed a new global framework initiative to collect data, analyze environmental and economic information, and rally efforts around conservation, restoration and sustainable development. Diffenbaugh outlined ways to incorporate big data into climate risk management. Woods Co-Director and Senior Fellow Jeff Koseff (Civil and Environmental Engineering) moderated a related panel discussion, and Woods Co-Director and Senior Fellow Buzz Thompson (Law) moderated a panel discussion on the electric grid, energy efficiency and social networks.

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