Research

COMPUTATIONAL sustainability is concerned with the development and application of computational methods for balancing environmental, economic, and societal needs for a sustainable future [1]. Specifically, it considers the major problem domains that impact global sustainability, those technologies and processes that offer the greatest opportunity to increase sustainability in these domains, and the fundamental computational methods that support these technologies and processes. The literature demonstrates that key sustainability issues translate into decision and optimization problems that fall within the realm of computing and information science, but generally they have not been studied by computer scientists. Computational sustainability encompasses problems in disciplines as diverse as ecology, natural resources, atmospheric science, materials science, renewable energy, and biological and environmental engineering.