iEMSs 2026: Call for Papers

The 13th International Congress on Environmental Modelling and Software (iEMSs) will be held in Dublin from 12 to 16 July, 2026, hosted by University College Dublin.

The conference invites submissions related to various aspects of environmental modelling and software. Details for the call for papers within each session is outlined below.

Stream A: Decision making and public participation in environmental modelling

This stream through its various sessions seeks to bring together academic experts, action researchers and practitioners to explore recent developments in participatory decision making, modelling, design and research to solve complex problems of today. We will focus on questions related to the latest trends in participatory research, what role AI and Machine Learning can play in advancing participatory methods, how to organise, support and promote stakeholder participation, as well as how diversity among stakeholder groups can help and related areas.

A1. Applications of integrated models to support participatory scenario processes in sustainability science

Objective of this session is to present and to discuss methods and case studies for the application of simulation models that integrate social and environmental components in participatory scenario processes. Focus is on research related to sustainability science. This may include questions of identifying the relevant scale level and domain of modelling, incorporation of stakeholder knowledge and qualitative scenario components into models in an iterative manner as well as communication of model results and inherent uncertainties.

A2. Come to the table! Stakeholder engagement in modelling for agricultural transformation

We seek recent methods and applications of modelling/optimization approaches with strong stakeholder involvement that aim at solving real-world problems in agricultural landscapes. Submissions focused on applications are encouraged; they may be related to water and agri-environmental management, land use allocations, biodiversity protection, and the adoption of sustainable technology and management.

A3. Connecting stakeholder engagement to governance processes and decision making for climate adaptation and sustainability

This session examines the policy, governance, and societal conditions that affect, and are affected by, participatory processes and stakeholder engagements. We are also interested in the approaches, knowledgebases, or tools that can provide greater transparency and accountability to science/policy governance and outcomes. We are particularly interested in presentations and case studies relating to climate adaptation and sustainability.

A4. Tools and software for participatory modeling and decision support

We encourage submissions discussing advances in openly developed software and tooling for participatory modeling and decision support across various fields. These include environmental and climate policymaking, resource planning, and climate change adaptation. Recent issues around research reproducibility and transparency have led to a general preference for openly developed computational tools to address, or otherwise mitigate, concerns around the trifecta of reproducibility, reusability, and replicability.

A5. How Data Science and Machine Learning can help Participatory Modeling

We invite papers that illuminate ways in which data science, machine learning, and artificial intelligence can support the specific goals of participatory modeling. We also invite papers that address how PM could be used to contribute to the creation of more responsible AI models.

A6. Improving participatory processes through analysis of narratives, knowledge sources, emotions, values, biases and schema

Our session will focus on methods that can be used to:
(1) Elicit and analyze narratives and their influence on decision-making and participatory processes.
(2) Identify benefits and pitfalls to participatory processes; and roles for narratives in improving facilitation.
(3) Create Records of Engagement and Decision-making (RoED) to improve facilitation, and for broader, longer-term, dissemination/use of the efforts and outcomes of participatory processes.

A7. Education and capacity building for complex systems modelling

This session aims to promote a scholar-based approach for teaching complex systems modelling. We welcome theoretical and empirical studies from various fields of applications related to complex modelling (e.g. environment, health, business…etc).

A8. Modelling with Stakeholders 2.0: more than a next-generation

This session aims to incite academic discussions, oral presentations, paper/workshop showcases, and symposiums that provoke the use of participatory modelling (or modelling with stakeholders) as key to tackling current challenges in different disciplines.

Stream B: Modeling environmental fate of contaminants, human well-being and ecological public health

This stream may cover aspects of modelling the chemical and physical transformation of pollutants in air, water and soil, the impact of pollution on human and ecosystem health, biodiversity and the integrated assessment of potential synergies and unintended consequences of technical, behavioural and nature-based solutions.

B1. Environmental modelling in the changing assessment landscape: Busier, more contested, more important

This session reflects on decades of integrated environmental assessments and the modeling that has supported this.

B2. Modeling of freshwater and marine systems

This session focuses on modeling of water systems, and can include modeling of pollutants, such as excess nutrients and their effects on harmful algal blooms and eutrophication, as well as fate, transport, and effects of toxics and emerging contaminants.

B3. Modelling the environmental and public health risks of current and future wildfires from global to local scale

We welcome contributions with a modelling and simulation focus on topics related to air pollution and human health impacts, particularly from wildfire as well as preventive activities.

B4. Advances and contemporary issues in water quality modelling

We invite contributions that focus on monitoring, modelling and analyses of all aspects of water quality across all environments including natural, agricultural, urban, peri-urban catchments, as well as rivers, groundwater, lakes, estuaries and other receiving waters. We also welcome contributions that use modelling to address contemporary issues in water quality modelling, such as uncertainty, scale choices, long-term trends and decision scaling.

Stream C: Computational methods, workflows, informatics and integrated systems in environmental modelling

This stream will cover a range of approaches including open integrated system, and computational intelligence methods in environmental modeling, e.g., computational workflow development, data analytics, and hybrid models of AI and environmental informatics.

C1. Ninth Session on Data Mining as a Tool for Environmental Scientists (DMTES-2024)

We invite submissions of papers and presentations about applications of data science, data mining and related methodologies to environmental problems.

C2. Optimization-based environmental modelling

This session will bring together researchers and practitioners to discuss recent advances and applications of optimization-based environmental modelling.

C3. Intelligent modeling methods and easy-to-use systems for environmental problems

This session welcomes scholars worldwide to share their inspiring ideas, intelligent modeling methods and easy-to-use systems in promoting the intelligentization of geographic and environmental modeling.

C4. Facilitating Environmental Modeling — automated, cloud-based workflows

This session will include presentations related to the automation of numerous tasks that environmental modelers perform in conducting modeling studies when deploying one or more existing models.

C5. Modelling to evaluate outcomes of environmental watering

This session welcomes papers that describe models and modelling approaches that attempt to quantify the outcomes of environmental watering on aquatic and riparian ecosystems.

C6. Exploring the Synergy: AI, ML, and Process-Based Modelling Action

This session explores the synergies between AI, ML, and PBM, showcasing their enhanced capabilities, challenges, and real-world implementations across diverse domains.

C7. Computational Intelligence and AI Systems for scientific computing in water resources

The goal of this session is to provide an active forum to discuss scientific ideas and technical solutions to the advancement of predictive and analytical models based on computational intelligence, machine learning, and data science.

C8. CIROH 1: Modelling and framework advances in the U.S. National Water Model and similar large scale modeling

This session is an opportunity for researchers working on the NWM directly as part of CIROH, as well as others with an interest in continental-scale integrated modeling efforts, to present and discuss relevant advances in the modeling framework, methods, and approaches.

C9. CIROH 2: Data and hydroinformatics advances in the U.S. National Water Model and large scale modeling systems

This session is intended to support presentations on advances in hydroinformatics related to the NWM specifically, but also encourages presentations on related and similar systems.

C10. Development and evaluation of surrogate models using machine learning to emulate results of calibrated process models

This session focuses on innovative approaches to build the pipeline, applying these new methods, and quantifying the propagation of uncertainty from input data to process models to surrogate model results.

C11. Open modeling and simulation

This session aims to bring scholars worldwide together to explore the theories and approaches of open modeling and simulation in geographic and environmental research.

C12. Advances in Machine Learning and Artificial Intelligence for environmental modelling and decision support

We invite researchers to present on their own experiences and/or vision regarding AI (including machine learning) for environmental modelling and decision making.

C13. Artificial Intelligence Tools and Software Libraries for environmental modeling, computing and communication

This session proposes an in-depth exploration of AI tools and software libraries pertinent to environmental modeling, analysis, and communication.

Stream D: System design, identification and uncertainty in modelling complex environmental & agricultural systems

This stream will include topics related to the methods, tools, and applications in systems design, parameter identification, and evaluation of uncertainty of model predictions. We particularly welcome sessions and submissions that address the impact of a lack of knowledge about the systems design or parameters on likely outcomes in agricultural or environmental problems.

D1. New and improved methods in agricultural systems modelling

We encourage submissions that focus on new/improved methods/approaches (rather than examples of usage) in order that the agricultural modellers can learn as a community.

D2. Harmful Algae Blooms (HAB) research and development in the Great Lakes Region and beyond

This session will offer presentations from agencies, academia, and the private sector to highlight the HAB issues, process description uncertainty and research, and HAB predictive modeling research and development in the Great Lakes Region.

D3. Good modelling practice for better social and environmental outcomes

This session encourages a broad view on the topics of problem framing, model co-design, system identification and conceptualisation, uncertainty, and validation with a focus on evaluating the quality of modelling, models, and model predictions.

D4. Modeling food and agricultural systems for a circular bioeconomy

This conference session aims to explore the key aspects of food and agricultural systems within the framework of a circular bioeconomy, bringing together experts, modellers, practitioners, and researchers to share insights, discuss innovative strategies, and foster collaborations.

D5. Water infrastructure system modelling and optimization for a sustainable future

We invite contributions from any field investigating the planning, design, operation, rehabilitation, and simulation modelling and optimization of water infrastructure systems and the analysis of water-energy nexus in these systems that will contribute to improved management of these systems.

Stream E: Socio-environmental systems modelling for planetary health and environmental sustainability

This stream will cover novel approaches to earth system modelling, software frameworks for predictions of complex interrelationships of environmental factors and their consequences for the planetary health. This includes approaches to simulation of human-environment interactions and integration of environmental and social determinants to assess risks to human health, quantitative and qualitative methods for sustainability assessment, and approaches to monitoring progress towards attainment of Sustainable Development Goals at the global, national, regional, and local levels.

E1. Addressing the Grand Challenges to accelerate use of socio-environmental systems modelling in actionable science

This session aims to progress the community dialogue about tackling these challenges by bringing together recent innovation, and identifying pressing issues where we need to accelerate research efforts.

E2. Low energy demand pathways toward climate-resilient cities

This session gathers the knowledge of frontiers in socio-environmental systems to identify, discuss and evaluate the potential of socio-behavioural, infrastructure and technology interventions over different sectors -e.g., buildings, transport, and food- and various geographical scales toward climate-resilient cities.

E3. Hybrid and data-driven approaches to assessing and attaining planetary health and environmental sustainability

The session invites original contributions on a wide range of applications of modeling and analytic techniques to a broader domain of planetary health through the lens of attaining sustainable development goals.

E4. Food and agricultural systems for a circular bioeconomy: Transforming sustainability into reality

E5. Planetary Health Modeling: Unraveling environmental dynamics and human well-being

This session aims to bring together researchers from diverse disciplines who have studied or are interested in the environmental impacts on the transmission of diseases.

Stream F: (Big) data solutions for environmental systems planning, management, and operation

We encourage the submission of papers that provide insights into novel data solutions, software technologies, and computational and machine-learning methods to guide human activities on environmental systems, including, but not limited to, environmental systems planning, management, and operations.

F1. Intelligent water resources science and engineering

In this session, we invite presentations on intelligent environmental and water resources science and engineering, with a focus on new paradigms of data use, modeling, software, and innovative applications.

F2. Unveiling Synergies: The integration of data science techniques in social and environmental assessment practices

This session explores integrating data science into social and environmental assessments for sustainable development. Attendees will learn about cutting-edge methodologies, innovative applications, and best practices through presentations and interactive discussions.

Intenational Environmental Modelling and Software Society

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