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School of Mathematical Sciences

Research grant projects and collaborations

Currently funded projects

  • Horizon 2020, ITN, Evolutionary Game Theory and Population Dynamics: From Theory to Applications. PI Weini Huang (beneficiary), 2021 - 2025. The value of this award at QM is £216,298.
  • The Royal Society, International Exchange, Large deviation theory of dynamical processes on networks and its application to ecological systems. PI Ginestra Bianconi, 2020 - 2022. The value of this award is £11,920.

Other funded projects

  • The Alan Turing Institute, Alan Turing Institute Data Science for Science Programme: Molecular Biology, PI Weini Huang, 2020 - 2021. The value of this award is £68,712. 
  • EPSRC, New Investigator Award, Assessing spatial heterogeneity through random walks on graphs, PI Vincenzo Nicosia, 2019 - 2021. The value of this award is £203,609.
  • The Leverhulme Trust, Research Fellowship, CREATE: The Network Components Of Creativity And Success, PI Vito Latora, 2019 - 2021. The value of this award is £53,809.
  • EPSRC, IAA devolved funding - Large Grant, Blockchain, cryptocurrency, data science, PI Vincenzo Nicosia, 2020 - 2021. The value of this award is £39,769.
  • EPSRC, IAA devolved funding - Covid-19, COVID-19 Rapid Response Impact Acceleration Fund, PI Lucas Lacasa, 2020. The value of this awards is £10,000.
  • EPSRC, Early Career Fellowship, Exploring the interface between signal processing and network science, PI Lucas Lacasa, 2017-2020. The value of this award is £379,049.
  • The Leverhulme Trust, Early Career Fellowship, Learning from mistakes: a supervised feedback-loop for imaging applications, PI Martin Benning, 2018 - 2019. The value of this award is £31,000.
  • ENCORE Network+, Dynamics and Resilience of Multilayer Cyber-Physical Social Systems, PI Vito Latora, 2017. The value of this award is £10,000. 
  • EU LASAGNE, multi-LAyer SpAtiotemporal Generalized NEtworks, Vito Latora, Enzo Nicosia, Federico Battiston. Aiming to provide a novel and coherent theoretical framework for analysing and modelling dynamic and multi-layer networks in terms of multi-graphs embedded in space and time. The theory is validated on real-world applications involving brain networks, on- and off-line social systems, healthcare systems, and transportation flows in cities. Consortium: Medical University of Vienna, Queen Mary University of London, University of Cambridge, Universitat de las Illes Balears, Centre National pour la Recherce Scientifique, Universitat de Barcelona, University of Manchester. Queen Mary University of London is the scientific coordinator.
  • EPSRC GALEGlobal Accessibility to Local Experience, Vito Latora, Alessandro Fiasconaro. Pioneering third generation recommender systems which would make it possible for the rapidly growing population of “global” city users to access, in real time, a level of information, that of the neighborhoods knowledge, which is inherently inaccessible to global repositories. This is a multidisciplinary consortium of 3 partners: Queen Mary University of London (School of Mathematical Sciences), University of Cambridge (Computer Laboratory), and Strathclyde University (department of Architecture).
  • EPSRC RAVEN, Resilience, Adaptability and Vulnerability of complex Energy Networks PI David Arrowsmith, 2010-2013.
  • MODELICO Modelling and Simulation of Complex Systems PI Lucas Lacasa, 2010-2013. 
  • EU Pathfinder programme MANMADE Diagnosing vulnerability, emergent phenomena, and volatility in man-made networks, PI David Arrowsmith, 2007-2009. 


Our collaborations

The Complex Systems and Networks Group maintains close collaborations with research groups from world-leading universities. Our work impacts industry and society. We collaborate with industrial and societal stakeholders such as IBM, Neo Technology, Telefonica, Hopital de la Salpetriere, Glasgow City Marketing Bureau. 

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