Data-driven Modelling and Analysis of Complex Systems

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Date(s) - 19/03/2018
10:00 am - 4:00 pm

School of Computing Science, Sir Alwyn Williams Building

The SICSA Research Themes for Data Science and Theory Modelling and Computation are pleased to support the Data-driven Modelling and Analysis of Complex Systems  (DDMACS) event on 19th March 2018 at the University of Glasgow.

The aim of DDMACS is to foster a cross-disciplinary community bringing together researchers from SICSA institutions interested in the combined application of data-driven techniques and computational modelling and analysis methods to real world problems. We will address current challenges and relevant questions, and share experiences on how to create sound data-driven models amenable to rigorous analysis and verification techniques that deliver reliable information about the data-generating process.

Invited Speakers:
Leif Azzopardi, Department of Computer and Information Sciences, University of Strathclyde
Jane Hillston, School of Informatics, University of Edinburgh

Call for contributions:
We invite contributions on approaches to data-driven modelling and analysis of complex systems on:

  • use of modelling methods and notations in a knowledge management/discovery context,
  • development and use of common modelling and knowledge management/discovery frameworks to explore and understand complex systems from the application domains of interest.

Speakers are invited to present research results in any of the themes of interest for the workshop as well as application experiences, tools, and promising preliminary ideas.

The full programme will be posted on this web-site soon.

The lunch and the coffee breaks are free for registered participants. In order to help with catering arrangements, we would ask that you register at the Eventbrite Page.

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