To understand the effects of actions and the complex system interrelations of sustainable development, we create integrated models of the various influencing factors.
These models help us to predict and evaluate developments. We also use them to support social learning processes in transdisciplinary stakeholder dialogues.
For modeling, we use qualitative and quantitative methods such as Bayesian networks, system dynamics approaches, and agent-based modeling. When sufficient data are available, we also develop quantitative forecasting models for specific issues, i.e. statistical models that use machine learning. This allows us, for example, to estimate future water demand in municipal water supply systems by taking into account differentiated socio-structural and spatial data. The transparency of a model is crucial for its acceptance. Therefore, we also apply the method of participatory modeling: In a dialog process, the conception of a model is jointly developed with the stakeholders concerned.
Creating transformative spaces to identify new ways of dealing with uncertainties in water resource management – using the example of karst landscapes in Europe
The research project investigates the dynamics of land use changes and their effects on ecosystem services and biodiversity.
The project explores ways to implement an inclusive municipal sustainability strategy in which citizens actively shape change.
Working out an example for the conservation and restoration of savannah ecosystems worldwide, the research project investigates how climatic, ecological and social factors drive desertification in Namibia.
The research project accompanies the sustainable drinking water supply in Marburg through demand estimates, dialog formats and forecast scenarios in the course of integrating the “Heiliger Born” site.
The MORE STEP research project is investigating change processes in the ecosystem of the eastern Mongolian steppe and their possible consequences for nature and society.
The junior research group regulate investigates challenges in the management of groundwater in Europe against the background of acute drought, conflictuality and the complexity of institutional frameworks.
ISOE identifies regions in Germany that are affected by groundwater stress.
To optimize water management, the project is developing a forecasting platform for Hamburg's daily water demand.
The project develops a basis for decision-making for water supply companies, authorities and municipalities to ensure a long-term and sustainable water supply.
The project analyzes the state of scientific knowledge on global, European and German water resources in order to better predict their future changes.
CapTain Rain develops climate services for forecasting and assessing heavy rainfall events. It also identifies measures to adapt to climate change and mitigate disaster damage.
The PlaNE project is developing practical approaches for municipalities such as Frankfurt and Marburg to sustainably transform food systems according to planetary health criteria.
The MORE STEP research project investigates processes of change in the ecosystem of the Mongolian steppe and their socio-economic and ecological causes and consequences. The mobility of wild and domesticated herd animals plays a central role here.
For sustainable planning, ISOE is updating Hamburg's water demand forecast for 2020-2050, taking into account climate change, COVID-19 effects and innovations in water-saving technologies.
The study analyzes the dynamics of change in household water consumption in Hamburg to support forecasts and sustainable strategies.
In its water demand forecast, ISOE combines data from influencing factors such as demographics and climate.
On behalf of HAMBURG WASSER, the project team is developing a forecasting model to estimate the daily drinking water demand in the company's supply area.
The netWORKS 4 project is investigating the networking of water infrastructures in urban areas. The aim is to initiate dialog processes on their sustainable design.
In its water demand forecast, ISOE combines data from influencing factors such as demographics and climate.
OPTIMASS investigates which adapted forms of water management enable important ecosystem services to be secured in the long term.
In the PowerFlex project, ISOE is investigating the spread and use of air conditioning systems in private households in Germany. The aim is to model and more accurately estimate the level of future energy consumption.
The project team is developing a new classification of consumption point types for HAMBURG WASSER for a more detailed recording of the customer base.
In the project, the risks of discharges of medicinal chemicals from retirement homes, nursing homes and hospices are assessed with stakeholder groups and action strategies are developed.
