Upcoming schools

Switch to Calendar View

• The Helsinki summer school on mathematical ecology and evolution

  • Start
    21 Aug 2022
  • End
    28 Aug 2022
  • Location
    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) 

   

  Show details
• School: Mathematical modeling for epidemiology: analysis, simulation and forecasting

  • Start
    5 Sep 2022
  • End
    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

  Show details