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Challenges: Pierre Laplace (1749-1827): “ The simplicity of nature is not to be

Finnish Centre of Excellence (2006-2011) in Computational Complex Systems Research (COSY) @ Department of Biomedical Engineering and Computational Science, Helsinki University of Technology. Challenges: Pierre Laplace (1749-1827): “ The simplicity of nature is not to be

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Challenges: Pierre Laplace (1749-1827): “ The simplicity of nature is not to be

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  1. Finnish Centre of Excellence (2006-2011) inComputational Complex Systems Research (COSY)@Department of Biomedical Engineering and Computational Science, Helsinki University of Technology Challenges: Pierre Laplace (1749-1827): “The simplicity of nature is not to be measured by that of our conceptions. Infinitely varied in its effects, nature is simple only in its causes, and its economy consists in producing a great number of phenomena, often very complex, by means of a small number of general laws.” Stephen Hawking: “I think the 21st century will be the century of complexity.” Mission & Approach: For a Complex System – be it physical, biological or societal – one needs to make a shift in research paradigm by taking a multidisciplinary and holistic system-level approach in terms of Computational Analysis & Modelling & Simulation COSY BECS

  2. Complexity of a system:Structure & Function & Response Is complexity in number? FRUIT FLY : 13600 genes C. ELEGANS: 19500 genes HOMO SAPIENS: 23300 genes ARABIDOPSIS (mustard): 27000 genes NETWORK Self-organisation – Emergent properties in structure, function and response Six degrees - Small World Communication system: Many non-identical elements linked with diverse interactions

  3. Complexity – How to approach • Complex systems: • Large number of interdependent agents (molecules, individuals, species, consumers, companies...). • Self-organisation -> Emergent properties: Structure & Function & Response. • Adaptive and robust (biological and social systems). • Not understood by studying parts in isolation. • Change in research paradigm: • Holistic system level viewpoint. • Combination of physical, mathematical, biological, social sciences…towards transdisciplinarity • Computational modelling and analysis: • Holistic viewpoint at the system level behaviour. • Generic tool for qualitative and quantitative studies.

  4. ComputationalComplexSystemsResearch • Models & Methods • ComplexNetworks and Agent-BasedModels • ComplexDynamics and StatisticalPhysics • Statistical and InformationTheoreticModellingMethods • BrainSignalAnalysis • Engineered & ArtificialSystems • EngineeredNanosystems • Modelling of Learning and Perception • Computational Neuroscience • Cognitive & Social Systems • Cognitive Systems • Structure and Dynamics of Social Networks • ComputationalSystemsBiology • Bioimaging • Biospectroscopy-> ComputationalMedicine • Complex systems and networks – Oxford unit

  5. Models & Methods Network theory & dynamics Polymer translocation Healthcare data analysis Bayesian MEG/fMRI data analysis Networks & agent-based models Complex dynamics & stat. physics Statistical modelling methods Brain signal analysis

  6. Engineered & Artificial Systems Quantum dots Optical (quantum) memories Computational Neuroscience Engineered Nanosystems Modelling of Learning and Perception Bayesian Object Recognition

  7. Cognitive & Social Systems • Cognitive Systems • Modulation of auditory • system tuning by • selective attention • (PNAS 2004 & PNAS 2006 & PNAS 2007) • Structure & Dynamics • of Social Networks • Mobile phone network • Analysis & Modelling • (PNAS 2007 & PRL 2007) PNAS = Proc. Natl. Acad. Sci. PRL = Physical Review Letters

  8. ComputationalSystemsBiology Bioimaging-Cryo EM: Illustration of LDL particles at 37oC and 6oC In preparation. Biospectroscopy -NMRMetabonomics: Atherosclerosis;health path and risk profiling Annals of Medicine 38, 322-336, 2006; NMR in Biomedicine, 20, 658, 2007; Molecular Systems Biology 4, 167, 2008; » Computational Medicine

  9. CollaborationHighlights(international) • CSNR, Oxford with CABDyN, Oxford research cluster: • Reseach: Complex systems and networks, Mathematical Biology • Harvard Medical School, MIT & Mass. Gen. Hospital, Boston • Research: Cognitive Neuroimaging • Harvard University & U. Notre Dame, Boston & Indiana • Research: Complex Networks • Budapest University of Technology, • Research: Complex Systems and Networks, Econophysics … • Inst. for Cross-Disciplinary Physics and Complex Systems, Palma, • Research: Complex Systems and Networks and Agent-based models • Northwestern University, Institute of Neuroscience, Chicago • Research: Cognitive neuroscience • Georgetown University Medical Center, Washington DC • Reserch: FIDIPRO; Systems neuroscience (monkey & human)

  10. CoE’s achievements

  11. CoE’sachievements Degrees: CCSE(2000-05) COSY (2006-07) COSY CCSE Impact factor /publication Publications: CCSE(2000-05) COSY (2006-07) COSY CCSE

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