AAAI 2016 - AAAI-16 Special Track on Computational Sustainability

This special track invites research papers on novel concepts, models, algorithms, and systems, that address problems in computational sustainability. We are looking for a broad range of papers ranging from formal analysis to applied research. Examples include papers explaining how the research addresses specific computational problems, opportunities, or issues underlying sustainability challenges and papers describing a sustainability challenge or application that can be tackled using AI methods. Papers proposing general challenges and data sets for computational sustainability are also welcome. All AI topics that can address computational sustainability issues are appropriate, including machine learning, optimization, vision, and robotics, and others. Sustainability domains include natural resources, climate, and the environment (e.g., climate change, atmosphere, water, oceans, forest, land, soil, biodiversity, species), economics and human behavior (for example, human well-being, poverty, infectious diseases, over-population, resource harvesting), energy (for example, renewable energy, smart grid, material discovery for fuel cell technology), human-built systems (for example, transportation systems, cities, buildings, data centers, food systems, agriculture), and climate, ocean, and land modeling.
Special Track Cochairs
Zico Kolter (Carnegie Mellon University, USA)
Claire Monteleoni (George Washington University, USA)