Science of Global Systems
Progress in global systems dynamics is required to better understand the interactions between ecological and socio-economic systems and to better respond to global environmental change. Global coordination requires new developments in science based on global system models that span the whole range from local regional to global multi-national decision making. A science of global systems must pay special attention to the interface with policy and society to better ground the scientific tools. IT will support the massive needs in computing and data handling and help establishing new links between science, policy and society.
Target outcomes- Improve use of data and knowledge from the past to choose between options for the future: Tools to represent uncertainty and to construct chains of causality (narratives) from models and data to outcomes for use in socio-political decision processes.
- ICT tools for better use- and user centred modelling techniques, data collection and user-model interaction. Methods to address use of system models in a policy decision context.
- Understanding of distributed multilevel policy decision processes. Identify system patterns relevant for properties like resilience, vulnerability, and regime shift tendencies.
- Use and develop formal languages, constructive type theory and domain specific languages to make policy interfaces of models more adaptable to changing contexts.
- Better links between modellers and stakeholders facilitated by new policy-relevant concepts in modelling of global systems.
- Overcome fragmentation in research in various policy-relevant models resulting in a better uptake of modelling results for global coordination of policies.
- Policy uptake in targeted areas: socio-ecological system and climate change impacts, innovation as a global system, dynamics of the financial system and new models for economy.
EUR 3.5 million