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Uncertainty and Dynamics in Environmental Economic Modeling
January 28 to February 2, 2018 in Ascona, Switzerland
Deadline for applications: September 15th, 2017
The Swiss Federal Institute of Technology Zurich (ETH Zurich) and the European Association of Environmental and Resource Economists (EAERE) are pleased to announce the first EAERE-ETH Winter School in Resource and Environmental Economics for postgraduate students.
The School will take place from January 28 to February 2 at Monte Verità in Ascona, Switzerland. The topic covered by the 2018 Winter School is Uncertainty and Dynamics in Environmental Economic Modeling.
Winter School Secretariat: ETH Zurich email@example.com
Some of the most pressing environmental and resource problems – most prominently climate change – are not only of a long-run nature but are also subject to inherent uncertainty. This uncertainty arises on different levels and works through a multitude of channels. Uncertainty about climate development, about technological progress and regulatory uncertainty are just a couple of examples. By impacting agents’ decision making, uncertainty also has important feed-back effects on the level as well as the dynamics of optimal environmental policies. The aim of the Winter School is to provide tools and methods to study the intersection between economic dynamics, uncertainty, and the environment.
The Winter School will first provide students with an overview of the problems and methods addressed during the School. This encompasses the presence and effects of dynamic and stochastic processes in environmental and resource economics as well as the interaction of the environmental and economic spheres. Students will learn to apply methods from stochastic control theory (Wiener and Poisson processes) to dynamic settings of environmental economics. Further sessions will be devoted to selected applications from modern resource, environmental and energy economics. Specific topics to be addressed are biodiversity, energy system transition, climate and environmental policy and exhaustible resources. The methods used in the Winter School are mainly analytically-solvable dynamic and stochastic models.
The Winter School is aimed at PhD students and Postdocs from all levels with an interest in dynamic stochastic modeling of environmental and resource problems or climate change. The Winter School aims at providing them with an advanced understanding of dynamic modelling under uncertainty and the toolkit required to expand their own research to stochastic control problems. The course material will be presented in lectures on methodology and applications. Students will work supervised on tailored exercises and receive valuable feedback on their work from fellow students and from the School professors. Students will also have the opportunity to present a poster on their research, should they wish to do so. The Winter School especially aims at a highly interactive exchange of the students with experts in the field.