The International Statistical Ecology Conference

About The Event

ISEC

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). In 2024 it will be held in Swansea (Wales, UK) 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.

Plenary speakers

Dr Marie Auger-MéthéDepartment of Statistics, University of British Columbia, Canada

I am a statistical ecologist with a passion for polar and marine ecosystems. I love to tackle difficult problems and much of my work involves developing statistical tools that help answer challenging ecological and conservation questions.

Dr Marie Auger-MéthéDepartment of Statistics, University of British Columbia, Canada

I am a statistical ecologist with a passion for polar and marine ecosystems. I love to tackle difficult problems and much of my work involves developing statistical tools that help answer challenging ecological and conservation questions.

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Prof John FiebergDepartment of Fisheries, Widlife and Conservation Biology, University of Minnesota, USA

My research interests are broad, but generally involve the application of statistical and mathematical models to problems in ecology and natural resource management. Much of my recent work has focused on the analysis of wildlife telemetry data, with application to wildlife survival analysis, home range, and habitat selection modeling.

Prof John FiebergDepartment of Fisheries, Widlife and Conservation Biology, University of Minnesota, USA

My research interests are broad, but generally involve the application of statistical and mathematical models to problems in ecology and natural resource management. Much of my recent work has focused on the analysis of wildlife telemetry data, with application to wildlife survival analysis, home range, and habitat selection modeling.

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Prof Rachel McCreaDepartment of Mathematics and Statistics, Lancaster University, UK

I have broad interests in developing new statistical methodology for real data problems. My areas of current research include statistical ecology, multiple systems estimation and illegal wildlife trade.

Prof Rachel McCreaDepartment of Mathematics and Statistics, Lancaster University, UK

I have broad interests in developing new statistical methodology for real data problems. My areas of current research include statistical ecology, multiple systems estimation and illegal wildlife trade.

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Dr Matthew SchofieldDepartment of Mathematics and Statistics, University of Otago, NZ

My research involves the use of statistical modelling in various scientific disciplines with a focus on the use of Bayesian approaches. Recent application areas include ecology, environmental sciences, biomechanics, biological sciences and genetics.

Dr Matthew SchofieldDepartment of Mathematics and Statistics, University of Otago, NZ

My research involves the use of statistical modelling in various scientific disciplines with a focus on the use of Bayesian approaches. Recent application areas include ecology, environmental sciences, biomechanics, biological sciences and genetics.

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Dr Elise F. ZipkinDepartment of Integrative Biology, Michigan State University, USA

I aim to develop statistical models to unravel some of the world’s most alarming natural mysteries at the intersection of ecology, conservation biology, and the management of biodiversity. In my lab we study the status, trends and dynamics of populations and communities – insects, birds, amphibians, fish, reptiles, and mammals, to understand and predict how and why nature is changing, the consequences of those changes, and what, if any, action is recommended.

Dr Elise F. ZipkinDepartment of Integrative Biology, Michigan State University, USA

I aim to develop statistical models to unravel some of the world’s most alarming natural mysteries at the intersection of ecology, conservation biology, and the management of biodiversity. In my lab we study the status, trends and dynamics of populations and communities – insects, birds, amphibians, fish, reptiles, and mammals, to understand and predict how and why nature is changing, the consequences of those changes, and what, if any, action is recommended.

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ISEC 2024 – Location

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