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Dagstuhl Seminar 20461

Computer Science Methods for Effective and Sustainable Simulation Studies Cancelled

( Nov 08 – Nov 13, 2020 )

Please use the following short url to reference this page:

Dagstuhl Seminar 22401: Computer Science Methods for Effective and Sustainable Simulation Studies (2022-10-03 - 2022-10-07) (Details)




Simulation becomes more and more important in application areas, establishing itself as the third way of science in addition to theory and (real) experiment.

To answer research questions, simulation studies form increasingly intricate processes that intertwine the design and execution of various, often calculation intensive, simulation experiments and the generation and refinement of simulation models with steps of analysis.

This Dagstuhl Seminar will be dedicated towards addressing central methodological challenges in supporting the conduction of effective and sustainable simulation studies. Thereby, the seminar will focus on problems and solutions related to improve:

  • Effectiveness: the usage of resources, including computing infrastructures and data, and the assistance of humans throughout conducting a simulation study.
  • Sustainability: continuing a simulation study into the future, by the possibility of reusing or building upon its central products, such as simulation model, data, and processes as well as the software used.

The last decades have seen a wide range of methodological developments in computer science, which are likely to be instrumental in achieving effective and sustainable simulation studies. However, those efforts are scattered across different computer science fields that include high performance computing, (modeling) language design, operation research, visual analytics, workflows, provenance, machine learning, modeling, and simulation.

The seminar will bring participants with diverse computer science backgrounds together to enhance the methodological basis for conducting simulation studies. The researchers' expertise in developing methods but also in applying them in application fields as diverse as cell biological systems, traffic systems, or computer networks, will allow to identify and relate core problems and solutions in conducting simulation studies across specific application fields.

As results of the seminar, we expect having identified central challenges relating to effective and sustainable simulation studies, analyzed the state of the art, and gathered potential contributions from the various computer science areas. The seminar will spawn new research directions and collaborations to advance the field of modeling and simulation.

Copyright Wentong Cai, Christoph Carothers, David M. Nicol, and Adelinde M. Uhrmacher

  • Wentong Cai (Nanyang TU - Singapore, SG) [dblp]
  • Christopher Carothers (Rensselaer Polytechnic Institute - Troy, US) [dblp]
  • David M. Nicol (University of Illinois - Urbana Champaign, US) [dblp]
  • Adelinde M. Uhrmacher (Universität Rostock, DE) [dblp]

  • modelling / simulation

  • Domain-specific languages
  • simulation algorithms
  • High Performance Computing
  • data-driven applications
  • experiment design and analysis
  • workflows
  • provenance