November 8 – 13 , 2020, Dagstuhl Seminar 20461

CANCELLED Computer Science Methods for Effective and Sustainable Simulation Studies

Due to the Covid-19 pandemic, this seminar was cancelled. A related Dagstuhl Seminar was scheduled to October 3 – 7 , 2022 – Seminar 22401.


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

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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.

Motivation text license
  Creative Commons BY 3.0 DE
  Wentong Cai, Christoph Carothers, David M. Nicol, and Adelinde M. Uhrmacher

Related Dagstuhl Seminar


  • Modelling / Simulation


  • Domain-specific languages
  • Simulation algorithms
  • High Performance Computing
  • Data-driven applications
  • Experiment design and analysis
  • Workflows
  • Provenance


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


Download overview leaflet (PDF).

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.


Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.