The SYRR research group analyses the increasingly systemic socio-ecological risks associated with global and local change, and with policy, practice and civil society co-generates options for building resilience.
Global change through rising physical and social interdependencies is leading to increasingly systemic and existential risks that lead to cascading impacts and potentially intolerable burdens on communities and societies across the world.
SYRR develops and applies agile systems science to address social-ecological risks that are embedded in complex systems and characterised by potentially cascading, irreversible and existential consequences. We identify risk drivers, model network interactions, assess probabilistic outcomes and co-develop stakeholder-driven options with policy, practice and civil society that are applicable across scales. Our approach for addressing existential and systemic risk combines advanced quantitative modeling with empirical assessment and soft systems analysis approaches.
Studying systemic risk and resilience in this context includes:
We focus, inter alia, on risk and resilience associated with climate change, disasters, food webs, finance and pandemics. SYRR work builds on activities and experience gained from the previous IIASA programs on Risk and Resilience (RISK) as well as Advanced Systems Analysis (ASA) and Evolution and Ecology (EEP).
Last edited: 11 March 2021
Kofner, Y. & Erokhin, D. (2021). EU – EAEU Common Economic Space. In: The Routledge Handbook of EU-Russia Relations: Structures, Actors, Issues. Eds. Romanova, T. & David, M., Routledge. ISBN 9781138543676
Masiliūnas, D., Tsendbazar, N.-E., Herold, M., Lesiv, M., Buchhorn, M., & Verbesselt, J. (2021). Global land characterisation using land cover fractions at 100 m resolution. Remote Sensing of Environment 259, e112409. 10.1016/j.rse.2021.112409.
Landauer, M., Rasmus, S., & Forbes, B.C. (2021). What drives reindeer management in Finland towards social and ecological tipping points? Regional Environmental Change 21 (2), e32. 10.1007/s10113-021-01757-3.
International Institute for Applied Systems Analysis (IIASA)
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