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| International Congress on Modelling and Simulation | |
|---|---|
| Name | International Congress on Modelling and Simulation |
| Abbreviation | ICMOS |
| Discipline | Computational modelling, Simulation science |
| Established | 19XX |
| Frequency | Biennial |
| Location | Various international venues |
International Congress on Modelling and Simulation is a recurring international forum that convenes researchers, practitioners, and policymakers in the fields of computational modelling, numerical simulation, and applied systems analysis. The Congress serves as a nexus connecting contributors from institutions such as Massachusetts Institute of Technology, Stanford University, University of Cambridge, University of Oxford, and University of Tokyo with national laboratories including Lawrence Livermore National Laboratory, Argonne National Laboratory, and Los Alamos National Laboratory. The program typically integrates invited keynote lectures, technical sessions, and panel discussions featuring representatives from European Commission, National Science Foundation (United States), Japan Society for the Promotion of Science, and professional societies like Institute of Electrical and Electronics Engineers and Society for Industrial and Applied Mathematics.
The Congress traces its origins to early gatherings of modelling specialists influenced by milestones such as the Monte Carlo method, the work of John von Neumann, and the development of electronic computing exemplified by ENIAC and EDSAC. Early sponsors and participants included researchers from Bell Labs, Imperial College London, and California Institute of Technology, while formative meetings featured speakers associated with projects like Manhattan Project and programs at CERN. Over successive decades the Congress absorbed themes emerging from events such as the Second International Conference on Pattern Recognition and collaborations linked to International Council for Science, reflecting developments in areas championed by figures like Alan Turing, Claude Shannon, and Norbert Wiener.
The Congress covers a wide spectrum of applications spanning advances connected to Computational Fluid Dynamics developments pioneered at Prandtl Institute and innovations influenced by NASA programs, including simulations used by European Space Agency and Roscosmos. Technical tracks often reference methodologies associated with Finite Element Method work at University of Illinois Urbana–Champaign, Multiscale Modeling approaches from Max Planck Society groups, and uncertainty quantification strategies related to research at Los Alamos National Laboratory and Oak Ridge National Laboratory. Sessions include case studies from sectors represented by General Electric, Siemens, Boeing, Toyota, and public projects like Intergovernmental Panel on Climate Change assessments and Human Genome Project‑adjacent bioinformatics modelling.
Governance structures mirror practices used by entities such as IEEE, ACM, and Royal Society, with steering committees populated by academics from ETH Zurich, Princeton University, and University of California, Berkeley as well as industry liaisons from IBM, Microsoft Research, and Google DeepMind. Sponsorship and oversight involve funding bodies like European Research Council and Australian Research Council, and ethical guidelines align with frameworks endorsed by UNESCO and standards from International Organization for Standardization. Organizing responsibilities rotate among host institutions including National University of Singapore, Tsinghua University, and University of Toronto.
Past congresses have been held in major academic and conference centers associated with cities such as Boston, London, Paris, Tokyo, Sydney, Singapore, Toronto, Munich, Seoul, Zurich, and Barcelona. Venues have included auditoria linked to Royal Society, Carnegie Mellon University, Tokyo Institute of Technology, and ETH Zurich. Special joint sessions and satellite workshops have been organized in collaboration with events such as International Conference on Machine Learning, NeurIPS, SIAM Annual Meeting, and European Simulation and Modelling Conference.
Proceedings are often published in partnership with publishers and outlets like Springer Science+Business Media, Elsevier, IEEE Xplore, and ACM Digital Library, and indexed alongside journals such as Journal of Computational Physics, Simulation Modelling Practice and Theory, and IEEE Transactions on Visualization and Computer Graphics. Notable edited volumes have drawn contributions by scholars affiliated with Harvard University, Columbia University, Duke University, and research centers like Salk Institute and Fraunhofer Society. Special issues and post-conference collections have been curated with editorial boards comprising editors from Nature Communications, Science Advances, and Proceedings of the Royal Society A.
The Congress confers awards modeled after honors such as the Turing Award, Fields Medal, and discipline-specific prizes analogous to those from IEEE Computer Society and SIAM. Typical recognitions include best paper awards, early career researcher prizes, and lifetime achievement recognitions presented to contributors with affiliations to MIT Lincoln Laboratory, Johns Hopkins University, University of California, San Diego, and national academies like National Academy of Sciences (United States) and Royal Society. Award ceremonies have drawn high-profile recipients whose work intersects with initiatives supported by European Space Agency and NASA.
Membership and participation draw delegates from universities including McGill University, University of Melbourne, Peking University, Seoul National University, Indian Institute of Science, and corporations such as Intel, NVIDIA, Amazon Web Services, and Siemens AG. Delegates often represent governmental research organizations like Defense Advanced Research Projects Agency and National Institute of Standards and Technology as well as intergovernmental programs such as OECD collaborations. Student chapters and regional affiliates coordinate through networks patterned on IEEE Student Branches and ACM SIGs to promote training, mentorship, and cross-sector mobility.
Category:Academic conferences Category:Computational modelling