CoSMoS: Complex Systems Modelling and Simulation
Lead Research Organisation:
University of York
Department Name: Computer Science
Abstract
Our proposal builds capacity in generic modelling tools and simulation techniques for complex systems, to support the modelling, analysis and prediction of complex systems, and to help design and validate complex systems. Drawing on our state-of-the-art expertise in many aspects of computer systems engineering, we will develop CoSMoS, a modelling and simulation process and infrastructure specifically designed to allow complex systems to be explored, analysed, and designed within a uniform framework.
Publications
Alden K
(2013)
Spartan: a comprehensive tool for understanding uncertainty in simulations of biological systems.
in PLoS computational biology
Williams RA
(2016)
Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems.
in PloS one
Read M
(2013)
Determining disease intervention strategies using spatially resolved simulations.
in PloS one
Patel A
(2012)
Differential RET signaling pathways drive development of the enteric lymphoid and nervous systems.
in Science signaling
Williams R
(2018)
Lessons learned on development and application of agent-based models of complex dynamical systems
in Simulation Modelling Practice and Theory
Susan Stepney (Author)
(2008)
Complex Systems Models
Hoverd T
(2010)
A Transactional Architecture for Simulation
Description | We have developed a new approach to building fit-for-purpose computer simulations of complex systems, and applied this to various domains, initially mainly immunology, but extending to other areas from cancer to social segregation. This new approach focuses on the early stages of the development, ensuring that domain experts are contributing early in the process, and the the purpose of the simulation is clearly captures, to allow fitness-for-purpose argumentation to be applied. |
Exploitation Route | Others can use the developed process to build and have reasonable confidence in computatioal simulations of complex systems of interest. |
Sectors | Agriculture, Food and Drink,Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology |
URL | http://www.cs.york.ac.uk/nature/cosmos/ |
Description | Within the project, the developed process has been used mainly for simulation of immunological systems and processes. This has led to a spinoff centre: the York Centre of Computational Immunology, which has taken and further developed the approach, to integrate it into a specific experimental scientific domain. Subsequently, the spinoff company Simomics was formed, exploiting and selling the modelling and argumentation approach developed in the project. Additionally, members of the project have used the approach in their subsequent research simulation projects. |
Sector | Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Societal,Economic |
Description | Living Technologies call of ICT EU FP7 |
Amount | € 2,629,000 (EUR) |
Funding ID | 610427 |
Organisation | European Commission |
Department | Seventh Framework Programme (FP7) |
Sector | Public |
Country | European Union (EU) |
Start | 11/2013 |
End | 10/2016 |