In this newsletter:
- iEMSs 2026: Biennial General Meeting and Survey (due 6 Sept)
- iEMSs 2026 Awards
- Joint Special Issue (JSI) on Uncertainty
iEMSs 2026 in University College Dublin (UCD) Dublin, Ireland:
Congratulations to everyone and a big thank you to the organizers for a successful iEMSs 2026. Minutes of the iEMSs Biennial General Meetings and Award Ceremony are available at: iEMSs 2026 BGM – iEMSs. Additionally, please take some time to fill out the survey for all iEMSs members about your experience and your comments, wants, and needs for future conferences. Thank you for your help with this as your feedback is crucial for the continual improvement of the conferences. The survey is available here: Member Survey – iEMSs. Please note that the deadline is currently set as 23 August; the survey will be available until 6 September. Thank you!

iEMSs Awards
This year Tony Jakeman and Val Snow presented the iEMSs awards. They both noted that this round of nominations presented the strongest field to date! Thank you to the entire Awards Committee for their hard work.
Fellowships – 2025 awards: recognizes sustained service and contributions to the Society
Pouyan Nejadhashemi, Pierre Glynn, Chris Knightes
Early Career Researcher Awards: recognizes and rewards early-career researchers, who have made significant contributions to environmental modelling and software, to encourage the next generation of leaders in the field
Dr. Celray James Chawanda, a former student of Ann Van Griensven’s (received on his behalf) for his service to the Society and contribution to advancing open modelling platforms and tools (SWAT),
Dr Fengyuan Zhang, for his publication record and service to the Society
Biennial Medals: recognizes exceptional research and sustained contributions to environmental modelling and software, as well as for promoting the Society’s aims
Martin Volk (Helmholtz Center for Environmental Research, DE; unable to attend, award received by Andrea Kaim, message read on his behalf);
Rose Wang (Texas A&M University, USA; Editor-in-Chief of Ecological Modelling);
Wenyan Wu (Assoc. Prof., Environmental Hydrology and Water Resources, University of Melbourne, AU).
Joint Special Issue on Uncertainty
This Joint Special Issue (JSI) follows on from our previous one on good modelling practice wherein 60+ papers have been published across the three participating journals including Ecological Modelling (ECOMOD), Environmental Modelling and Software (ENSO), and Socio-Environmental Systems Modelling (SESMO). Uncertainty is drawn out specifically for this JSI, also across the three journals, as it pervades so many aspects for modelling Socio-Ecological/Environmental Systems (SES). We now invite research that aims to improve the treatment of uncertainty throughout parts of the entire modelling cycle.
A major underlying theme in the JSI is that uncertainty is diverse in nature and pervasive, entering all stages of the modelling process. It also cannot be eliminated, so that an aim is to assess what gives confidence, not only in the results which should include multiple/pluralistic methods of model evaluation, but also in the process, including documentation of assumptions and methods.
Note that interpretation of what is an SES is considered widely. Systems for example may include hydrological, ecological, energy, policy, health and social sectors, often a combination of these or others. An aim is to share experiences of uncertainty management across sectors and disciplines.
Relevant topics may include but are not limited to those in the list below:
* Philosophical and pragmatic approaches to describing and treating uncertainty, its type and sources
* Methods for identifying and prioritizing treatment of sources, both quantitative and qualitative
* Data acquisition planning for reducing critical uncertainties
* Going beyond (but not excluding) common metrics and Bayesian methods in assessing model performance and realism, including use of multiple and/or qualitative methods, scenario cash testing of model assumptions, explicit assessment of model limitations
* Protocols for documenting uncertainty management, assumptions and related decisions undertaken in the modelling process (such as particularization of TRACE and note books)
* Integration of AI, such as LLMs and surrogate modelling, into the uncertainty assessment process to increase its effectiveness and efficiency
Communicating uncertainty results to end users, including use of narratives about uncertainty and graphical methods
* Software for any of the above
* Case studies that demonstrate holistic aspects of uncertainty treatment
For any queries in submitting your manuscript please contact:
Tony Jakeman (tony.jakeman@anu.edu.au) for SESMO,
Sondoss Elsawah (s.elsawah@adfa.edu.au) or Tony for EMS, and
Hsiao-Hsuan (Rose) Wang (Hsiaohsuan.Wang@ag.tamu.edu for ECOMOD, respectively.
Authors are requested to send an abstract of up to 500 words to a relevant journal Guest Editor to help ensure their topic is in scope and for any suggestions as how to best align the manuscript with the JSI.
Manuscript submission information:
Submission open date: Sept 30th, 2026
Submission deadline: Mar 31st, 2027
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please ensure you read the Guide for Authors before writing your manuscript: SESMO submission guidelines







