Nadejda Komendantova, Research Group Leader of the Cooperation and Transformative Governance (CAT) Group at IIASA, co-chaired a landmark track at the International Conference on Resilient Systems 2026 at the Delft University of Technology, titled "Complex Adaptive Social Systems and Natural Hazard Resilience: Application, Methods, and Future Directions." This event served as key dissemination of results from IIASA's contributions to the PARATUS project, showcasing advanced systems analysis for disaster resilience.

Komendantova collaborated with Milad Zamanifar from the Planetary Resilience Institute, Germany, within a prestigious consortium featuring ETH Zurich, Singapore-ETH Centre, Technische Universität Darmstadt, DLR Institute for the Protection of Terrestrial Infrastructures, and the 4TU Centre for Resilience Engineering (Delft University of Technology, Eindhoven University of Technology, University of Twente, Wageningen University & Research).

The track pioneered transdisciplinary applications of Complex Adaptive Systems (CAS) theory to disaster resilience, exploring computational tools like agent-based modeling, network analysis, and AI/ML for tipping point detection alongside qualitative analyses of self-organization and adaptive cycles under climate stress. IIASA's PARATUS contributions—led by CAT—provided foundational insights into agent-environment interactions, feedback loops, and emergent resilience patterns.

Nadejda Komendantova guided discussions on bridging theory with policy: "CAS provides essential insights into how social systems self-organize under hazard stress. Our PARATUS work identifies resilience enablers and designs targeted interventions for real-world crises." The conference invited extended abstracts and stakeholder roundtables, amplifying IIASA's practical advancements from system dynamics to ethical adaptation challenges.

CAT's leadership reinforces IIASA's role in transformative governance, integrating socio-cultural narratives and hybrid modeling for enhanced global resilience through PARATUS methodologies.

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