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Dynamic Global Vegetation Models (DGVMs) are invaluable for understanding the biosphere. However, as currently implemented by the international research community, these models suffer from a challenging accumulation of uncertainty. This project aims to address this problem by developing the foundations of a new generation of models centered on a “missing law” – adaptation and optimization principles rooted in natural selection.

Unanticipated migration inflows can have positive and negative economic and social consequences depending on policies implemented by the recipient country to cope with the manifold challenges. Model-based scientific assessments of in-migration on a country's national economy are hence needed, as is meaningful stakeholder deliberation of alternative policies to support the integration of refugees in ways that contribute to resilient and sustainable societies.

Towards sustainable food and land-use systems: The Food, Agriculture, Biodiversity, Land, and Energy (FABLE) Consortium.

Co-Inform project deals with the phenomena of misinformation and its impact on decision-making processes. Misinformation is a common problem for all media but it is especially exacerbated in the digital social media due to the speed and ease with which it can spread.

The Systemic Risk and Network Dynamics project will examine how different types of systems, ranging from financial to ecological and beyond, are at risk of cascades of failures. As well as assessing this risk, this cross-cutting project will develop tools to help prevent such events.