Articles | Volume 25, issue 3 
            
                
                    
                    
            
            
            https://doi.org/10.5194/hess-25-1283-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-1283-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Multi-level storylines for participatory modeling – involving marginalized communities in Tz'olöj Ya', Mayan Guatemala
Jessica A. Bou Nassar
CORRESPONDING AUTHOR
                                            
                                    
                                            Department of Bioresource Engineering, McGill University, 21111 Lakeshore
Road,  Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada
                                        
                                    Julien J. Malard
                                            Department of Bioresource Engineering, McGill University, 21111 Lakeshore
Road,  Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada
                                        
                                    Jan F. Adamowski
                                            Department of Bioresource Engineering, McGill University, 21111 Lakeshore
Road,  Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada
                                        
                                    Marco Ramírez Ramírez
                                            IARNA, Universidad Rafael Landívar, Vista Hermosa III, Campus
Central,  Zona 16, Edificio Q, Oficina Q-101, Guatemala City, Guatemala
                                        
                                    Wietske Medema
                                            Department of Bioresource Engineering, McGill University, 21111 Lakeshore
Road,  Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada
                                        
                                    Héctor Tuy
                                            IARNA, Universidad Rafael Landívar, Vista Hermosa III, Campus
Central,  Zona 16, Edificio Q, Oficina Q-101, Guatemala City, Guatemala
                                        
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Julien Jean Malard-Adam, Wietske Medema, Nallusamy Anandaraja, Joel Harms, Johanna Dipple, Sheeja, and Palanivelan Jaisridhar
                                    Web Ecol., 25, 201–212, https://doi.org/10.5194/we-25-201-2025, https://doi.org/10.5194/we-25-201-2025, 2025
                                    Short summary
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                                                Citizen science involves people from outside of academia in data collection and research, for example, taking photographs of insects or birds that are then shared with other users and used for biodiversity and conservation purposes. However, these apps require large servers to function, which can be very costly. In this paper, we present serverless peer-to-peer alternatives and suggest best practices for user interface design so that these apps remain easy to adopt.
                                            
                                            
                                        Mohammad Sina Jahangir, John Quilty, Chaopeng Shen, Andrea Scott, Scott Steinschneider, and Jan Adamowski
                                        EGUsphere, https://doi.org/10.5194/egusphere-2025-846, https://doi.org/10.5194/egusphere-2025-846, 2025
                                    Short summary
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                                                This study presents a novel hybrid approach to streamflow prediction, significantly improving the efficiency and accuracy of fine-tuning deep learning models for hydrological prediction. Tested across numerous catchments in the U.S. and Europe, this method accelerates the fine-tuning process and improves prediction accuracy in locations beyond the training data. This innovative approach sets the stage for future hydrological models leveraging transfer learning.
                                            
                                            
                                        Joel Z. Harms, Julien J. Malard-Adam, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa
                                    Hydrol. Earth Syst. Sci., 27, 1683–1693, https://doi.org/10.5194/hess-27-1683-2023, https://doi.org/10.5194/hess-27-1683-2023, 2023
                                    Short summary
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                                                To facilitate the meaningful participation of stakeholders in water management, model choice is crucial. We show how system dynamics models (SDMs), which are very visual and stakeholder-friendly, can be automatically combined with physically based hydrological models that may be more appropriate for modelling the water processes of a human–water system. This allows building participatory SDMs with stakeholders and delegating hydrological components to an external hydrological model.
                                            
                                            
                                        Mohammad Reza Alizadeh, Jan Adamowski, and Manzoor Qadir
                                        Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-297, https://doi.org/10.5194/hess-2022-297, 2022
                                    Preprint withdrawn 
                                    Short summary
                                    Short summary
                                            
                                                This study aims to support robust policy development in human-water systems with scenario analysis of downscaled shared socio-economic pathways (SSPs) scenarios under deep uncertainty. An integrated dynamic simulation-optimization model is developed to evaluate policy alternatives and their robustness. We found many distinct combinations of outcomes with varying robustness, suggesting that the implementation of a range of development processes can lead to a particular outcome of interest.
                                            
                                            
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                Short summary
            Our research suggests a method that facilitates the inclusion of marginalized stakeholders in model-building activities to address problems in water resources. Our case study showed that knowledge produced by typically excluded stakeholders had significant and unique contributions to the outcome of the process. Moreover, our method facilitated the identification of relationships between societal, economic, and hydrological factors, and it fostered collaborations across different communities.
            Our research suggests a method that facilitates the inclusion of marginalized stakeholders in...
            
         
 
                        
                                         
                        
                                         
             
             
            