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The World Conference on Natural Resource Modeling, organized annually by the Resource Modeling Association, brings together scientists, stakeholders, and students interested in mathematical modeling of renewable and exhaustible resources.
The Statistical analysis of spatial Data in Agro-Environmental research summer school (SDAE) aims to present statistical analysis of agro-environmental data at different scales, from catchment to regional scale.
22nd International Conference on Principles and Practice in Multi-Agent Systems, PRIMA;
October 28th – October 31st 2019; Torino, Italy
PRIMA is a computer‐science conference with a focus o[…]
Modeling Emergence: Computer Simulation in the Social Sciences.
University of Massachusetts, Amherst
Tuesday, August 27, 2019 - 9:00am to 4:00pm
Wednesday, August 28, 2019 - 9:00am to 4:00p[…]
This 2-week summer school is about learning the different skills required for building agent-based models for renewable resources management. The first week focuses on general background lectures and learning of UML and platforms. The second week is dedicated to the design and implementation of a model on a platform. The various models built by the different groups are then presented to all the participant at the ned of the training session.
Tobias Schröder and I are running a workshop on Monday 23rd September at the Social Simulation conference in Mainz later this year. Please come along!
The San Diego Supercomputer Center Summer Institute is a week-long workshop held at the University of California, San Diego that focuses on a broad spectrum of introductory-to-intermediate topics in High Performance Computing and Data Science. The program is aimed at researchers in academia and industry, especially in domains not traditionally engaged in supercomputing, who have problems that cannot typically be solved using local computing resources.
The Coalition for Archaeological Synthesis (CfAS) is requesting information from scholars and researchers in archaeology and allied disciplines interested in designing and possibly participating in one or more collaborative synthetic projects on human migration.
This CUAHSI Master Class is intended for graduate students in Hydrology and Water Resources science and engineering programs requiring focused training on modern research methods in water footprinting and environmental impact accounting in a regional and global network-economy context. An overview of major modern methods is provided to help the student identify the most appropriate tools for their current research problems.
Organizers: Daniel Alexandrov (HSE St.Petersburg), Andreas Flache (University of Groningen)
As a part of INAS 2019 Conference in St.Petersburg (Russia) we invite submissions that analyze social[…]
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