Research
The York Centre for Complex Systems Analysis (YCCSA) is a wide and active collaboration across science departments (and beyond) at the University of York that has as its primary objective the development of novel mathematical and computational methods and tools for the analysis and modelling of complex systems drawn across engineering, physical, and biological sciences.
, 11,144kb)YCCSA, through its members, supports (both in terms of space, personnel and equipment) a wide range of research into complex systems, including novel hardware and software engineering, and modelling of physical and biological complex systems at multiple levels of detail.
For YCCSA staff publications, visit the People page and follow the Google Scholar profile links.
Members of YCCSA are also involved in the York Computational
Immunology Lab.
- Resilient and Adaptive Systems
- Biomedical and Ecological Systems
- Natural Computation and Engineering
Resilient and Adaptive Systems
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A graphical model approach to pedigree construction using constrained optimisation The project goal is to develop efficient methods for constructing family trees ('pedigrees') from DNA data. Accurate pedigrees are crucial in assessing genetic influences on disease. |
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R-Futures: The future developments in the UK's energy and transport infrastructure and the resilience of these systems to natural and malicious threats and hazards |
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ACORN: Ant Collective Organisation in Robust Networks |
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The Birth, Life and Death of Semantic Mutants |
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Plasticity and robustness in the Arabidopsis shoot branching regulatory network (PAB) |
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Artificial Biochemical Networks: Computational Models and Architectures (ALBINO) |
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Complex Systems Modelling and Simulation (COSMOS) |
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Biomedical and Ecological Systems
| Ecosystems Interactions - This proejct explores the policy implications of the interactions between ecosystems and other socio-economic systems in producing important services from which society benefits. |
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This is a four-year PhD training programme that will provide students with in-depth knowledge of infectious diseases and the interdisciplinary skills necessary to conduct research in one of the following three inter-related research themes, that are central to our ability to combat these infections:
The aim is to deliver the next generation of scientists who will drive quantitative biology to support interdisciplinary research in the biomedical sciences. |
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Professor Jon Timmis | |
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ACORN: Ant Collective Organisation in Robust Networks |
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Plasticity and robustness in the Arabidopsis shoot branching regulatory network (PAB) |
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A Novel Approach to the Structure and Assembly of Viruses |
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Natural Computation and Engineering
| DASE (Dynamic Adaptive Automated Software Engineering) |
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| | Journeys in Non-Classical Computation |
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CoCoRo (Cognitive Collective Robotics) aims at creating a swarm of interacting, cognitive, autonomous robots. |
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Symbiotic Evolutionary Robot Organisms (SYMBRION) |
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Journeys in Non-Classical Computation |
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