The course tackles conceptual, methodological and practical aspects of agent-based modelling and is built around a detailed tutorial on programming in NetLogo.
Special Issue of the Springer journal Mind & Society on computational models of human organizational behaviour, meaning behaviour that is not purely individual. Agent-Based Models are welcome.
Please either contact guido.fioretti AT unibo.it, or andrea.ceschi AT univr.it, or andrea.scalco AT abdn.ac.uk.
ESPIn is a 10-day immersive training experience for 25 graduate students, postdoctoral fellows, and/or early career faculty at the CSDMS Integration Facility at the University of Colorado Boulder. ESPIn will offer hands-on training in numerical modeling, best programming practices, open source software development, collaborative coding and version control, Landlab and pymt, high performance computing, and model uncertainty quantification.
The 11th biennial FOODSIM Conference
Sustainable Food Production in Time of Climate Change University of Leuven/Campus Ghent
April 5-9, 2020
This is a reminder t[…]
iCROPM2020 will focus on recent improvements and applications of crop simulation models to better support agricultural production and food security under global change. All types of crops and cropping systems (arable, grasslands, intercrops) and world regions will be considered, including high and low inputs systems, with relevance for large agricultural enterprises to smallholder farmers, under climate change.
eX Modelo - 2nd edition - is a research school on the exploration of simulation models (sensitivity analysis, calibration, validation, etc.) that will be held from May 25 to 29, 2020 in a rural setting 1 hour from Paris.
For more information about the call, take a tour at http://www.gi-forum.org/images/Forms/2020/GI_Forum2020_CallforPapers_SpatialSimulation.pdf
“Z_GIS online compact” are academic short courses that are delivered online by the University of Salzburg, Austria. One course lasts for three months and is worth 6 ECTS credits, according to the[…]
The main aim of this workshop is to design collectively a strategy for structuring and developing the field, while stimulating research and technological advancements on this topic, pro[…]
Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results.