The AAAI-15 Workshop on Computational Sustainability will take place on January 26, 2015 in Austin, TX in conjunction with the AAAI Conference on Artificial Intelligence.
We have an exciting full-day program with 4 invited speakers and 32 accepted papers!
Please **register here** (early registration until Dec 10, regular until Jan 6, after that onsite).
Computational sustainability is a fast-growing interdisciplinary field that aims to apply techniques from computer science, information science, operations research, applied mathematics, and statistics to problems that balance environmental, economic, and societal needs for sustainable development. Computational sustainability brings together researchers from computational domains and disciplines as diverse as ecology, natural resource management, biodiversity, climate science, biological and environmental engineering, and resource economics.
The goal of this workshop is facilitate the exchange of ideas, presentation of recent or preliminary results, and discussion of promising directions for the use of computational methods and in particular AI to tackle a variety of challenging sustainability problems.
Computational sustainability spans a multitude of sustainability-related topics such as biodiversity conservation, energy, urban planning, climate change, transportation, water, food, health and poverty.
Importantly, the computational problems that arise in many sustainability domains relate to a wide spectrum of AI topics and techniques such as but not limited to: graphical models and probabilistic inference, statistical learning, data and graph mining, constrained and stochastic optimization, reasoning under uncertainty, spatio-temporal modeling and network science.