Computational sustainability

Computational sustainability is an interdisciplinary research area that applies methods from computer science, operations research and information science to problems of ecological, economic and social sustainability. Sustainability in this context refers to the world's ability to sustain biological, social, and environmental systems in the long term. Researchers in computational sustainability develop algorithms and models that use real-time or large-scale data to support decisions about resource allocation in environmental, social, or economic systems. For example, artificial intelligence and machine learning techniques are created to promote long-term biodiversity conservation and species protection. Smart grids implement renewable resources and storage capabilities to control the production and expenditure of energy. Intelligent transportation system technologies can analyze road conditions and relay information to drivers so they can improve decisions using real-time traffic information.

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