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An EMS-ESMTB summer school

This is the sixth school of a biennial series of international summer schools on mathematical ecology and evolution in Finland, organised by the Biomathematics Group of the University of Helsinki. The series of The Helsinki Summer School on Mathematical Ecology and Evolution is part of the EMS-ESMTB School in Applied Mathematics, and its 2018 edition celebrates the Year of Mathematical Biology.


  • Karl Sigmund (University of Vienna): Evolutionary game theory
  • Odo Diekmann (Utrecht University): Renewal equations in population biology
  • Sebastian Schreiber (University of California, Davis): Coexistence in variable environments
  • Ellen Baake (University of Bielefeld): Probabilistic models and ancestral processes in population genetics
  • Hans Heesterbeek (Utrecht University): Ecology of infectious diseases

Time and place

The school will be held between 19 and 26 August 2018 at the Linnasmäki Congress Centre in Turku, Finland. Arrival and departure on Sundays, full program on Monday-Saturday.

The town of Turku is the oldest town of Finland with beautiful surroundings and easy access with direct flights from Stockholm, Helsinki and Copenhagen, plus frequent train and bus connections from Helsinki (direct bus also from the airport of Helsinki).

Participation fee

The school does not charge a registration fee, i.e., we cover the costs of the lecturers, premises and the Reader. Participants must however cover their own accommodation and board, a total of 516 euros paid directly to the Linnasmäki Congress Centre. This includes accommodation in double rooms and all meals at the Centre from dinner on 19 August to breakfast on 26 August (except for two dinners when we shall be out for the evening). We cannot provide assistance with travel costs. Students who are members of ESMTB can apply for ESMTB travel grants.


The school will be a week of high-speed, concentrated effort where most of the time is allocated to lectures. Group discussions of working papers and round-table discussions will foster informal interactions between students and lecturers. At the beginning of the school, all students will introduce themselves briefly to help people of similar interests to find one another and engage in informal discussions.


The school awards 8 ECTS credits upon examination by take-home essays submitted electronically and evaluated by the lecturers after the school.


The School is organised under the auspices of the Finnish Centre of Excellence in Analysis and Dynamics Research.
Director: Mats Gyllenberg, contact person: Eva Kisdi (eva.kisdi [funny character]


All PhD students and young researchers working in mathematical ecology can apply from all countries, especially from Europe and the Mediterranean. The school is aimed at PhD students of mathematics with interest in ecology, evolution, and epidemiology. We also welcome students of biology with sufficient background in mathematics, advanced undergraduates, and postdocs. The school can accept maximum 40 students.

The application period will start in late 2017. The deadline for applications is 31 January 2018 and we shall notify all applicants by 15 February 2018.

Previous schools of the same series

The Helsinki Summer School on Mathematical Ecology and Evolution 2016: Structured populations
Lecturers: Mats Gyllenberg, Hans Metz, Reinhard Bürger, Hisashi Inaba, André de Roos

The Helsinki Summer School on Mathematical Ecology and Evolution 2014: Dynamics of infectious diseases
Lecturers: Odo Diekmann, Frank Ball, Thomas House, Michel Langlais, Troy Day

The Helsinki Summer School on Mathematical Ecology and Evolution 2012: Theory of speciation
Lecturers: Sergey Gavrilets, Nick Barton, Sander van Doorn, Eva Kisdi, Dan Bolnick

The Helsinki Summer School on Mathematical Ecology and Evolution 2010
Lecturers: Karl Sigmund, Yuri Kuznetsov, Carlos Braumann, Reinhard Bürger, Tom Britton

The Helsinki Summer School on Mathematical Ecology and Evolution 2008
Lecturers: Odo Diekmann, Peter Jagers, Robin Snyder, Eva Kisdi & Stefan Geritz, Andrea Pugliese

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