Upcoming schools

    • 21 Aug 2022
    • 28 Aug 2022
    • Turku, Finland

    After the postponements forced upon by the pandemic, we are glad to announce that the 7th edition of The Helsinki Summer School on Mathematical Ecology and Evolution, an EMS-ESMTB School in Applied Mathematics, will be held between 21 and 28 August 2022 in Turku, Finland. 

    The core program consists of five series of lectures: 

    Josef Hofbauer (University of Vienna): Dynamical systems in mathematical ecology Gergely Röst (University of Szeged): The mathematics of infectious diseases
    Pieter Trapman (Stockholm University): Stochastic models of epidemics
    Jarno Vanhatalo (University of Helsinki): Linking ecological models to data through Bayesian statistics
    Christian Hilbe (Max Planck Institute for Evolutionary Biology): Dynamics of social behaviour 

    All young researchers working in mathematical ecology can apply from all countries, especially from Europe and the Mediterranean. The school is aimed at graduate students of mathematics, but we also welcome students of biology with sufficient background in mathematics, advanced undergraduates, and postdocs.  

    For more information and details of the application procedure, please visit the school's webpage  

    https://wiki.helsinki.fi/display/BioMath/The+Helsinki+Summer+School+on+Mathematical+Ecology+and+Evolution+2022 

    With best regards,
    Eva Kisdi
    (eva.kisdi@helsinki.fi) 

     
    • 5 Sep 2022
    • 9 Sep 2022
    The recent dramatic events associated to the spread of the COVID-19 disease in many parts of the industrialized world, and the subsequent necessity of applying efficient confinement strategies to control the pandemic without frustrating the social-economic environment, have drawn the attention to the pivotal role of mathematical modeling in epidemiology and related issues. The aim of the school is to provide a better understanding of how mathematicians qualitatively describe and measure infectious disease outbreaks, by exploring pressing questions such as how many people have been infected, how infections are identified and measured, how infectious is the virus, and what can be done to combat it. This subject area being intrinsically multidisciplinary, the courses are conceived to cover a broad spectrum of approaches and techniques, ranging from deterministic models of population dynamics to stochastic description or agent- based systems, together with controllability and observability issues, toward statistical data analysis and uncertainty quantification. The principal objective of the school is training a new generation of researchers in mathematical modeling and simulation for epidemiology in order to provide a valuable support in the decision-making process to public health managers and institution executives.

    Webpage: https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2022/mathematical-modeling-for-epidemiology-analysis-simulation-and-forecastin


    Course 1 – Population dynamics of infectious diseases
    Odo DIEKMANN, Mathematical Institute – Utrecht University, The Netherlands

    Course 2 – Optimal control with epidemiological applications
    Maurizio FALCONE, Department of Mathematics – Sapienza University of Rome, Italy

    Course 3 – The mathematics and statistics of infectious disease outbreaks
    Tom BRITTON, Department of Mathematics – Stockholm University, Sweden

    Course 4 – Outbreak response case studies
    Christl DONNELLY, Faculty of Medicine, School of Public Health
    – Imperial College London, United Kingdom

    Honorary Lecture
    Andrea BERTOZZI, Department of Mathematics – University of California
    Los Angeles, USA

    Seminars and project – the case study of COVID-19 pandemic

    Ilaria DORIGATTI, Faculty of Medicine, School of Public Health
    Imperial College London, United Kingdom

    Ganna ROZHNOVA, Department of Epidemiology – University Medical Center
    Utrecht, The Netherlands

    Antonio CAPELLA, Marcos A. CAPISTRAN, J. Andres CHRISTEN, National

    Autonomous University of Mexico and CONACYT, Mexico

Past schools

31 Jul 2022 17th Annual Multicell Virtual-Tissue Modeling Online Summer School and Hackathon
10 Jul 2022 Summer School on Stochastic Reaction Networks
30 May 2022 Second Edition of the Research School and Workshop on Mathematical Modeling of Self Organization in medicine, biology and ecology, MMSEOR2022
17 May 2022 Course "Analysis and control of stochastic models of biomolecular interactions"
9 May 2022 Summer School "Stochastic modelling in the life sciences"
4 Apr 2022 Hausdorff School: “Diffusive Systems Part II” - Pattern Formation, Bifurcations, and Biological Applications
23 Mar 2022 Mathematical Models in Epidemiology (MME) course
6 Sep 2021 Advanced course on applied dynamics in systems and synthetic biology
1 Aug 2021 16th Annual Multicell Virtual-Tissue Modeling On-Line Summer School and Hackathon
12 Apr 2021 Hausdorff School on "Diffusive Systems: Pattern Formation, Bifurcations, and Biological Applications".
15 Feb 2021 Advanced School on Applied Dynamical Systems to Synthetic and Systems Biology. Centre de Recerca Matemàtica (Barcelona)
26 Jul 2020 Combined 2020 Network Modeling Summer School and Hackathon and Multicell Virtual-Tissue Modeling Summer School and Hackathon.
20 Jan 2020 ICTP-SAIFR School on Community Ecology: from patterns to principles
12 Jan 2020 IX ICTP-SAIFR Southern-Summer School on Mathematical Biology
24 Nov 2019 CISM advanced school "Controlling delayed dynamics: advances in theory, methods and applications". Udine
10 Feb 2019 International school on "Modeling of biomaterials". Kacov, Czech Republic




Copyright © 2019 ESMTB - European Society for Mathematical and Theoretical Biology. All Rights Reserved

Read our Privacy Policy | Contact ESMTB at info@esmtb.org | Website maintained by Bob Planqué

Powered by Wild Apricot Membership Software