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 Computational Social Science Society of the Americas
10th Anniversary International Conference
Call for Papers - CSS 2019
Call for Proposals - CSS 2019 SIGs, Workshops, and Tutorials
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.
3rd European Symposium on Societal Challenges in Computational Social
Science (Euro CSS).
This year’s focus: Polarization and Radicalization
Venue: ETH Zurich, Switzerland
Dates: September 2-4,[…]
Joshua M. Epstein (NYU), Tatiana Filavota (University of Twente), NIcolas Payette (University of Cambridge) and all the Behave team in the faculty of the BEHAVE summer school on ABM welcome you t[…]
The 22nd biennial conference of The International Society for Ecological Modelling (ISEM), under the theme eco:model:spaces, will bring together scientists from all professions and applications that deal with the use of ecological models and systems ecology.
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.
for PhD students and early career researchers from academia and beyond