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The International Environmental Modelling & Software Society

Call for papers

Thematic Issue on “Advances in Theories, Data Management, Data Mining and Data Visualization to Support Big Data in the Environmental Sciences”

in Environmental Modelling & Software

Issue Editors: Amin Tayyebi, Keith C. Clarke, Bryan C. Pijanowski and Patrick Jantz

EMS Editor: Dan Ames


Submissions are invited for papers which address cutting-edge and innovative approaches, particularly regarding new tools, software or demonstrations of efficient techniques in practical cases to deal with specific types of big data in environmental sciences that cannot be addressed using conventional techniques. The following broader topics that provide cutting-edge and innovative approaches for using GIScience, remote sensing and technology to support big data in the environmental sciences may be covered:

  • Advances in theories.
  • Data management.
  • Data mining.
  • Data visualization. 

Read more: Thematic Issue on “Advances in Theories, Data Management, Data Mining and Data Visualization to...

Call for Papers
Virtual* Thematic Issue on "Urban Water Demand Management"

Issue Editors: Andrea Castelletti, Dragan Savic, Rodney Stewart 
EMS Editor:  Andrea E. Rizzoli
Continued demographic growth,  increasing urbanization, and development of mega-cities are boosting urban water demands and changing their spatio-temporal distribution. Demand-side management actions are key to secure water supply in the next decades, and complement more traditional supply-side management interventions, when limitations such as physical constraints, resources availability or increasing marginal costs hamper the effectiveness of infrastructure expansion.
* A Virtual Thematic (or Special) Issue (VTI) is a collection of articles that are published over a time span in different physical issues of the journal, but they are "virtually" kept together on the journal webpage, as seen here. The advantage for authors is that papers are are not being withheld until the very last paper has been revised. The advantage for the editors is that new contributions can also be linked to the VTI. This means that you are welcome to submit a paper for inclusion in the VTI even after the deadline for this call has expired! 

Call for papers

Thematic Issue on Modelling Human and Ecological Health Risks
in Environmental Modelling & Software

Edited by Stefan Reis, Kristina Voigt & Tim Oxley


Submissions are invited for papers which address the latest developments and key topics in the field of modelling and assessment of effects of environmental pressures on human and ecosystem health. The following broader topics may be covered:

  • Modelling social and environmental determinants of human and ecosystem health;

  • Methodological developments in the assessment of radiation and chemicals‘ risks;

  • Current trends in software developments for environmental pollution modelling across all environmental media, with a focus on human and ecosystem health relevance;

  • Modelling aspects of epidemiology and exposure-effect relationships, including the contribution of models to the Exposome concept;

  • The integration between sensors, models and methods in response to big data and citizen science applications.

Read more: Thematic Issue on Modelling Human and Ecological Health Risks

Call for Papers

for a Thematic Issue on

Environmental Data Science

on  Environmental Modelling and Software, An Elsevier Journal

Edited by: Karina Gibert, Geoff Holmes, Jeffery S Horsburgh, Ioannis N Athanasiadis



Getting decisional knowledge from data is nowadays one of the most reliable ways to better understand environmental processes, to go beyond the state-of-the-art in Environmental Sciences and to improve environmental systems management in most of their fields. The particular complexity of environmental processes requires new solutions able to integrate different information sources, such as qualitative and quantitative data, images, text, signals, etc., together with prior knowledge, as well as to deal with spatiotemporal frames and higher order interactions among variables.

Read more: Thematic Issue on Environmental Data Science