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University of Birmingham

Country: United Kingdom

University of Birmingham

Funder (3)
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3,875 Projects, page 1 of 775
  • Funder: UKRI Project Code: EP/R512436/1
    Funder Contribution: 1,541,910 GBP

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

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  • Funder: UKRI Project Code: 509094
    Funder Contribution: 94,323 GBP

    to develop innovative methods to measure and model real rail capacity and to validate and improve capacity simulations and simulators

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  • Funder: EC Project Code: 657027
    Overall Budget: 195,455 EURFunder Contribution: 195,455 EUR

    Today's challenges are marked by more frequent and wide-spread episodes of social, economic, political and environmental crisis. Co-evolutionary systems offer a natural perspective and powerful tools to help us understand conditions that affect populations of agents whose behavior changes in response to their interaction outcomes in situations of strategic decision-making. Studying these complex co-evolutionary systems remains an open challenge as rich structures in the models are not taken into account. The overarching aim of this project is to fill this major research gap with a unified, principled framework to analyze complex co-evolutionary systems. At the core of our approach is the graph representation of interacting agent behaviors where problem structures are fully captured by complete orientations in the graph and associated co-evolutionary dynamics by sampling processes on the graph. This project combines complementary expertise of the Experienced Researcher (Dr. Chong) in large co-evolutionary systems and the Supervisor (Professor Tino, University of Birmingham) in complex, adaptive and dynamical systems. Its vision is that the framework provides foundation for new modelling tools benefiting policy-makers, regulators, and academics through better understanding and predictive quality of real-world strategic decision-making systems.

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  • Funder: UKRI Project Code: ST/F007523/1
    Funder Contribution: 1,450,570 GBP

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

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  • Funder: UKRI Project Code: PP/F000731/1
    Funder Contribution: 247,051 GBP

    I have identified an unique opportunity for UK particle physics to make a telling contribution in the search for Lepton Flavour Violation. The proposed measurement will either give evidence of physics beyond the Standard Model or will place meaningful constraints on various SUSY models. The proposal is timely and cost-effective. This opportunity can be pursued immediately, as an exploitation of a running experiment, and the scientific objectives fit well into the 3-year scope of a Responsive RA.

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