Complexity is a constant challenge for science, politics and society: for science as the field of complexity research, in which complex systems are studied in the context of physics, biology, climate research or virology; for politics as the challenge of casting complex interrelationships into concrete policies that find democratic majorities; for society as the everyday difficulty of aligning one’s personal behaviour with the complexity of the environment. However, complexity becomes particularly challenging in those areas where all three forms of complexity come together.
The aim of the inter- and transdisciplinary research project AI NAVI is to explore the central aspect of social complexity, decision-making in the social realm, in dealing with complex systems such as the climate or pandemics under the influence of AI systems. In doing so, the complexity competence will be investigated as well as the possibilities for mastering complexity through AI applications, to develop strategies for a successful AI-supported, participatory and emancipatory handling of complex social challenges.
|HDI||0.947 (very high)||0.932 (very high)||0.926 (very high)||0.944 (very high)|
|CCPI||56.39 (medium)||69.66 (high)||19.75 (very low)||28.82 (very low)|
|Greenhouse gas emissions per capita||9.72 t||6.80 t||18.44 t||24.63 t|
|Covid infections per 100,000 inhabitants||4,910||10,800||12,430||293|
The project includes four case studies or respectively one case study in four countries, i.e. Germany, the US, the UK, and Australia. These case studies are intended to provide a background for the study of the research objectives and a specific behavioural domain for the experimentation and empirical research. They were chosen because of their similarity in standard of living, which promises to find common behavioural patterns or lifestyles, and their dissimilarity in terms of their reaction to climate change and the Covid19-pandemic. This may provide the opportunity to detect cultural components of the behavioural domain and the associated decision-making.
planning grant funded by