Summer School: On Computer Simulation

Summer School: On Computer Simulation Methods


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Michael Resch (HLRS), Viola Schiaffonati (Politecnico Milano), Giuseppe Primiero (Middlesex University London), Andreas Kaminski (HLRS)


The transformation of science through computer simulation is often considered to be a methodological one. A lot of literature has been dedicated to determining the relationship between computer simulation, experiments or theories as the classical sources of knowledge. This relation is both methodologically and technically complex. On the one hand, it is difficult for philosophers, social scientists, and historians to gain detailed insight into the methods used among practitioners. On the other hand, for computer scientists and practitioners in general, the methodological limitations and design constraints that simulation techniques impose on hypothesis formulation and testing may not be obvious. The summer school addresses these problems by offering lectures and tutorials on computer simulation methods for scholars from the humanities, social sciences, and computer science.


The morning sessions will include lectures by faculty members, focusing on the philosophical, methodological, and technical aspects of different simulation techniques (including numerical methods, software techniques, visualization, agent-based modelling, and computational experiments). These will be followed by project presentations by participants. The afternoons will be dedicated to hands-on tutorials by practitioners. Finally, in the evenings, distinguished scholars will offer lectures on the most inspiring and exciting issues in this increasingly important research area.

Instructors (confirmed and requested)

Nicola Angius (Sassari)
Andreas Kaminski (Stuttgart)
Johannes Lenhard (Bielefeld)
Giuseppe Primiero (London)
Michael Resch (Stuttgart)
Viola Schiaffonati (Milan)
Angelo Vermeulen (Delft)

Who is it for?

Researchers (especially but not exclusively postgraduates) from the humanities and social sciences who are interested in learning more about the methodological dimensions of computer simulation;
Computer scientists and practitioners in simulation who are interested in deepening their knowledge on the foundations, methods, and implications of their techniques.

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