CLASS 2015 - International Workshop on Computational algorithms for Sustainability Assessment

Machine learning for environmental data analysis, modelling and visualization. Geostatistics, remote sensing and Geographical Information Systems (GIS) pplications to for land use change detection and modelling; Biophysically based models to study the effects produced on ecosystem services (such as carbon sequestration and erosion regulation) by human activities entailing land occupation and transformation; Application of Agent Based Modeling (ABM), economic modeling and other approaches for consequential life cycle assessment; Computational approaches for Life Cycle Costing; Modelling and prediction of dynamic and spatiotemporal phenomena and systems to derive dynamic life cycle inventories; Design and optimization of data acquisition systems for environmental data harvesting; Network analysis applications to natural and technological systems analysis; Linear Programming and Constraint Programming applied to solve constraint satisfaction problems involving environmental constraints; Emergy accounting of complex systems; Use of Information Communication Technology (ICT) tools for resource optimization; Social data mining to detect consumers orientations and rebound effects; Uncertainty modeling (fuzzy techniques, Bayesian approaches, etc.);