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ISEC 2027

The International Statistical Ecology Conference

  • Home
  • Participate
    • Registration
    • Abstract submission
    • Workshop Proposal
  • Programme
    • Conference Programme
    • Workshops
    • Roundtable Discussions
    • Social programme
    • Half-Day Excursion
  • Plenary Speakers
  • Organisers
  • Practical stuff
    • How to reach us
    • Accommodation
    • Things to do around…
  • ISEC 2024
  • Contact us

International Statistical Ecology Conference

January 8-15, 2027 - Mérida, México
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The International Statistical Ecology Conference (ISEC) is the main international gathering of statistical ecologists. It is a super friendly and inclusive interdisciplinary conference at the interface between statistics and ecology, bringing together statisticians and ecologists. By closing the gap between ecology and statistics, two aims are achieved – helping ecologists discover new and state of the art statistical methods and learn how best to use them, whilst at the same time make statisticians aware of the top priority methodological problems ecologists would like to be solved.


ISEC is a biennial conference, since the first conference in 2008 at St Andrews (Scotland, UK), followed by Canterbury (2010, UK), Krokkleiva (Norway, 2012), Montpellier (2014, France), Seattle (2016, USA), St Andrews (2018, Scotland, UK), Sydney (2020, Australia – virtual conference), Cape Town (2022, South Africa), Swansea (2024, Wales, UK). In January 2027, it will be held in Mérida, México, as an in-person conference.


Through talks, posters, workshops and skill showcase sessions a broad range of topics are typically covered, including abundance estimation, animal movement, big data, biodiversity, capture-recapture, citizen science, community dynamics, disease ecology, distance sampling, epidemiology, evolutionary ecology, fisheries, individual-based models, integrated population models, metapopulation dynamics, multispecies models, occupancy models, population dynamics, spatial ecology, species distribution models, and survey design.

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