Home - ISEC 2027

The International Statistical Ecology Conference (ISEC) is the main international gathering of statistical ecologists. It is an inclusive interdisciplinary conference at the interface between statistics and ecology. By closing the gap between ecology and statistics, two aims are achieved – helping ecologists discover new and state of the art statistical & machine learning methods and learn how best to use them, while at the same time make statisticians aware of the top priority methodological problems ecologists would like to solve.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 at the Autonomous University of Yucatán, as an in-person conference, organized by the Autonomous University of Yucatán (UADY) and the National Autonomous University of México (UNAM).

The ISEC 2027 logo integrates three elements as a representation of the scientific, cultural, and ecological identity of the State of Yucatán:Jaguar: symbolizes biodiversity, the strength of tropical ecosystems, and the importance of conserving species and their interactions. As an apex predator, it also represents ecological balance.2027 in Maya numeration: connects the conference with the Maya cultural heritage of Yucatán. Maya numeration adds regional identity and links the event to an ancient mathematical tradition.Σ (summation): represents statistics and the integration of data. It symbolizes the sum of observations, variables, and knowledge needed to understand the complexity of ecosystems.Together, the logo conveys the integration of biodiversity, ancestral knowledge, and statistical science, reflecting the purpose of ISEC: to use quantitative approaches to understand and conserve biological diversity.Through talks, posters and workshops, a broad range of topics are covered, with a focus on statistical applications, methods & theory, software development, machine learning, AI, motivated by a range of applications and data structures in ecology, such as: abundance estimation, biodiversity, capture-recapture, citizen science, community dynamics, disease ecology, distance sampling, epidemiology, evolutionary ecology, fisheries, individual-based models, integrated population models, metapopulation dynamics, microbiome, multispecies models, movement ecology, occupancy models, population dynamics, spatial ecology, species distribution models, and survey design.