About SSC 2017 - Workshops
On Monday 25th September 2017, we aim to offer a variety of free SSC workshops, usually lasting about 90 minutes.
If you would like to attend one of these SSC workshops, please indicate this at the same time as when you register for the SSC2017 conference. You can also return and update your registration details to include this option or others for SSC2017.
Optimization of execution of large scale simulation experiments in the cloud
Instructor: Prof Przemysław Szufel, Warsaw School of Economics.
Do you have a simulation experiment that takes many hours, days or even weeks to compute on your laptop? Why not reduce that time to minutes? Waiting for computation results will no longer cease your research. This can be achieved through utilization of cloud computing. During the workshop we will show a how to transfer computational jobs from your desktop to Amazon Web Services Elastic Compute Cloud (AWS EC2). We will give special focus to optimization of computing costs by showing how to utilize spot market for computing power. The workshop will present how a standard simulation experiment designs (eg. parameter sweep used to collect data for meta-modeling) can be distributed in the cloud for computation, simulation result collection, archival and analysis. No previous experience with cloud computing is required from the participants. It is recommended that they have basic knowledge of Linux.
Qual2Rule – Using qualitative data to inform behavioral rules
Workshop Organiser: Melania Borit, University of Tromsø – The Arctic University of Norway, Norway
Many academics consider qualitative evidence (e.g. texts gained from transcribing someone talking or observations of people) and quantitative evidence to be incommensurable. However agent-based simulations are a possible vehicle for bridging this gap. Narrative textual evidence often gives clues as to the in-context behavior of individuals and is thus a natural source for behaviors to inform the specification of corresponding agent behavior within simulations. They will not give a complete picture of this, but they will provide some of “menu” of behaviors that people use. During this workshop we plan to explain and practice several methods that help moving from qualitative evidence towards a simulation in a systematic way.
Hands-on programming workshop for SKIN modelers: concepts, applications, how-to-get-started with programming.
Workshop Organisers: Prof. Dr. Petra Ahrweiler, Dr. Michel Schilperoord and Benjamin Schrempf, EA European Academy of Technology and Innovation Assessment, Prof. Nigel Gilbert, University of Surrey.
Since its first publication in 2001 the SKIN model (Simulating Knowledge Dynamics in Innovation Networks) has gained increasing reputation amongst researchers in the field of innovation research and beyond. The SKIN model provides a powerful and easily adaptable agent-based simulation platform for learning about the creation and diffusion of knowledge as well as about the emergence and governance of innovation networks. The aim of this workshop is to introduce PhD students and other researchers who are planning to work with SKIN or are interested in its functionality to the model. Participants will learn about the theoretical background of the model, the structure of the code, existing adaptations and applications as well as how to run the code. Basic programming knowledge would be an advantage for participation in the workshop, preferably in NetLogo. For further information about SKIN please visit https://cress.soc.surrey.ac.uk/skinwp/ .