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New Submission Deadline: March 08, 2021
July 07 - 09, 2021
Online Streaming
Due to many requests, the regular papers submission deadline of this conference has been e[…]
Compute Canada’s WestGrid is moving its Research Computing Summer School online.
MABS 2020 is part of [AAMAS 2020](https://aamas2020.conference.auckland.[…]
SSC2020 is the 16th annual Social Simulation Conference and will take place at the University of Milan, Italy on 14-18 September 2020. The conference is one of the key activities of the European […]
The Advanced Computing for Social Change Institute offers unique opportunities, co-located with professional conferences, for undergraduate students who want to enhance their skillset and create positive change in their community. All costs are covered for accepted applicants!
MABS 2020 is part of AAMAS 2020 and will take place in Auckland, NZ, May 9 or 10, 2020.
The meeting of researchers from Multi-Agent Systems (MAS) engineering and the social/economic/organisati[…]
SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study com[…]
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.
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.
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.
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