Oct
20
2009

cdc25
Program or topic
Energy studies in the College of Engineering
Department(s) or unit(s)
College of Engineering and other collaborating departments and units.
Program goals
Energy research can be found in every Department and School of the College of Engineering and many faculty participate in multidisciplinary projects that span two or more Colleges at Cornell. This website provides a portal to research and other activities, many of which address climate change concerns.
Brief Description
See Energy Studies research page for information projects including:
- Solar Cells
- Wind and Water
- Biofuels
- Geothermal
- Fossil Fuels
- Fusion
- Power Systems
- Combustion Engineering
- Fuel Cells
- Carbon Footprint
- Climate Change
- Computation & Modeling
For more information
Contact the individual researchers listed on the Energy Studies research pages.
Oct
20
2009

cdc25
Program or topic
Institute for Computational Sustainability
Department(s) or unit(s)
Principal investigators from Computer Science and Resource and Environmental Economics, plus collaborators from other units across campus.
Contact information
Carla Gomes, Director
cpg5@cornell.edu
Program goals
To inject computational thinking into sustainability to provide new insights into sustainability questions and to establish a new field, Computational Sustainability, focused on computational methods for balancing environmental, economic, and societal needs for a sustainable future.
Brief Description
Computer scientists can — and should — play a key role in increasing the efficiency and effectiveness of the way we manage and allocate our natural resources, while enriching and transforming Computer Science. Many of today’s problems in ecology and conservation involve juggling large numbers of variables, often to find the optimum way to balance them. Some are so complex that they will require new advances in computer science.
With an initial $10 million grant from the National Science Foundation (NSF), the Institute for Computational Sustainability is bringing together computer scientists, applied mathematicians, economists, biologists and environmental scientists to create a new field of computational sustainability, analogous to computational biology, that will stimulate new developments in the computer science areas of constraint optimization, dynamical systems and machine learning.
For more information