The International Society for Ecological Modelling Global Conference
The International Society for Ecological Modelling Global Conference
2-6 May 2023 | University of Toronto, Scarborough, Canada

The International Society for Ecological Modelling Global Conference 2023 (ISEM 2023)
(ISEM 2023), under the theme ‘Ecological Models for Tomorrow’s Solutions’, will bring together scientists from all professions and applications that deal with the use of ecological models and systems ecology.
Toronto shall be the inspiring space for the Ecological Modelling community to meet, discuss and share ideas. In this conference, ecological modellers will join in their ongoing effort in advancing the concepts and methods of ecological modelling to develop ecological theory in a wide range of topics and modelling approaches.
The rigorous analysis of decision problems in environmental management requires specification of criteria to evaluate alternative management strategies; predictive models formulated in terms of variables relevant to management objectives; a finite set of management actions, including any constraints on their use; and monitoring programs to follow ecosystem responses to management.
This conference is organised by Elsevier and the International Society for Ecological Modelling(opens in new tab/window)

International Society for Ecological Modelling
In this context, the major challenges are associated with the uncertainty in the predictions of management outcomes. This uncertainty may stem from incomplete control of management actions, errors in measurements and sampling, environmental variability, or incomplete knowledge of system behavior. Failure to recognize and account for these sources of uncertainty may lead to catastrophic environmental and economic losses.
Accordingly, there has been a growing interest in the policy practice of adaptive management, which is an iterative implementation strategy that is recommended to address the uncertainty associated with ecological forecasts and to minimize the impact of inefficient management plans. Adaptive implementation or “learning while doing” augments initial forecasts of management actions with post-implementation monitoring, and the resulting integration of monitoring and modelling provides the basis for revised management actions.
ISEM 2023 aims to provide insights into the current state of the field of ecological modelling, and also highlight the major challenges in supporting adaptive management implementation.
Conference topics
Dynamic ecosystem models
Uncertainty analysis
Ensemble modelling
Data assimilation and optimization techniques
Machine learning and (big) data
Model integration, metamodels
Individual-based modelling
Software and tools
Bioenergetics: Dynamic energy budget models
Network modelling
Models of socio-ecological systems
Models of global, climate and land-use change
Sustainability and resilience
Ecosystem services
Biodiversity and conservation
Community models
Marine ecology and fisheries
Forests
Freshwaters (lakes and rivers)
Models of epidemics
Conference deadlines
Symposium submission deadline – 16 September 2022
Abstract submission system open – 5 October 2022
Abstract submission deadline – 9 December 2022
Early registration deadline – 27 January 2023
Author registration deadline - 27 January 2023
Symposiums
21. Formalize description of regional sustainable development – theoretical basis
Conference history
Title: The International Society for Ecological Modelling Global Conference 2016
Location: Towson University, Baltimore, MD
Date: 8 – 12 May 2016
Invited speakers:
J.P.M. Syvitski, University of Colorado, USA
V. Dale, Oak Ridge National Laboratory, USA
B. Xu, Tsinghua University, China
K.A. Rose, Louisiana State University, USA
L. Parrott, The University of British Columbia, Canada
V. Grimm, Helmholtz Centre for Environmental Research – UFZ, Germany
Program(opens in new tab/window)
Title: The International Society for Ecological Modelling Global Conference 2017
Location: Jeju, South Korea
Date: 17-21 September 2017
Invited speakers:
Brian Fath, Towson University, USA
Ulf Dieckmann, International Institute for Applied Systems Analysis, Austria
Deok-Sun Lee, Inha University, Republic of Korea
Yoh Iwasa, Kyushu University, Japan
Xi Ji, Peking University, China
Axel Timmermann, Pusan National University, Republic of Korea
Program(opens in new tab/window)
Title: The International Society for Ecological Modelling Conference 2019
Location: Salzburg, Austria
Date: 1 – 5 October 2019
Invited speakers:
Rupert Seidl, University of Natural Resources and Life Sciences, Austria
Uta Berger, Technische Universität Dresden, Germany
George Perry, The University of Auckland, New Zealand
Tatjana Filatova, University of Twente, the Netherlands & University of Technology Sydney, Australia
Josef Strobl, University of Salzburg, Austria
Supporting publications
Ecological Modelling(opens in new tab/window): We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the International Society of Ecological Modelling (ISEM).

Ecological Modelling
Special Issue
A special issue will be published after the conference in Ecological Modelling(opens in new tab/window). Submissions will be open to presenters of both oral and poster papers and will be subject to peer review and editorial standards.
To submit your abstract submit via this link: www.sciencedirect.com/journal/ecological-modelling/about/call-for-papers#isem-2023-ecological-models-for-tomorrow-s-solutions(opens in new tab/window)
One Earth(opens in new tab/window) is the home for high-quality research that seeks to understand and address today's environmental grand challenges, publishing research across the spectrum of environmental change and sustainability science. One Earth aspires to break down barriers between disciplines and stimulate the cross-pollination of ideas with a platform that unites communities, fosters dialogue, and encourages transformative research.

One Earth