Cooperation and Transformative Governance (CAT) aims to analyze governance systems addressing sustainability at different scales and to generate cooperative solutions.
Societal transitions caused by unprecedented technological innovations and industrial transformations, such as energy transitions or digitalisation, as well as environmental or health related crises require new effective governance approaches to handle inherent social dilemmas and wicked problems.
Transformative governance includes formal and informal institutions which are involved - at multiple scales - in responding to, managing, and triggering positive shifts in coupled social-ecological systems towards sustainability. A growing complexity of decision-making processes in modern society requires improved synchronization and coordination of different branches and levels of governance. Transformative governance faces two major challenges. First, the underlying difficulty of any transformative governance process is a social dilemma, that is a collective action situation when interests of separate individuals contradict interests of a community or society. Second, transformative governance involves with wicked problems – problems that are difficult or impossible to solve as they are characterized by incomplete information and contradicting and constantly evolving views and objectives of involved stakeholders and social groups.
Th CAT group focus is on wicked problems and social dilemmas in decision-making advancing appropriate methodologies and conducting a series of case studies. Areas of application include:
- Public health including COVID-19;
- Climate change and natural hazards,
- Biodiversity and ecosystems, including oceans;
- Societal transitions caused by technological innovations, industrial transformations or environmental changes; and
- Digital world and misinformation spread in the Internet.
The CAT group is using the following methods:
- cooperation models, including game-theoretical models for public good and common pool management with real-world complexities as well as bounded rationality, social heterogeneity, cultural dispositions, and institutional incentives;
- decision support systems accounting for multiple conflicting objectives; and
- methods to facilitate stakeholder dialogue, including participatory modelling, systems mapping, gamification, scenario planning.
The overarching methodological ambition of CAT’s work is to advance the practice of using models to understand and support decision making processes that are characterized by uncertainty, volatility, ambiguity and complexity.
CAT has a unique composition of researchers from a wide area range of disciplines that are fundamental for addressing its goals. The Research Group includes researchers from political sciences, mathematics, game theorists, behavioural economists, among others. The unique combination of deep disciplinary knowledge, a broad understanding of the practical challenges of transformative governance, and rigorous mathematical and systems-analytical focus is a strong basis for innovative work of high societal relevance. Extended networks of several young and senior scientists enables delivering real-world impact by addressing contested governance problems.
Models, tools, datasets
Projects
Staff
News
23 September 2026
IIASA researchers strengthen cooperation with Kyrgyzstan on AI and industrial development
IIASA Cooperation and Transformative Governance (CAT) Research Group Leader and Senior Research Scholar Nadejda Komendantova and CAT Research Scholar Dmitry Erokhin have contributed to a series of scientific and policy forums in Kyrgyzstan in 2026. Their research on artificial intelligence in the production sector builds on IIASA’s longstanding cooperation with the country on sustainable industrial development.
14 September 2026
IIASA's CAT Group Co-Chairs Key Resilience Track at International Conference on Resilient Systems 2026
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.
14 September 2026
IIASA researcher Nadya Komendantova contributes to UN STI Forum 2026 side event on digital public infrastructure for the common good
IIASA researcher Nadya Komendantova participated in a side event to the 2026 UN Forum on Science, Technology and Innovation for the SDGs, which took place at United Nations Headquarters in New York on the 7th May 2026. The event, organized by International Association for the Advancement of Innovative Approaches to Global Challenges (IAAI GloCha), focused on Global Challenges Action ID and Global Challenges Action Registry solutions for youth-led action, healthy communities, and climate-resilient development through digital public infrastructure.
Events
Focus
21 July 2026
One climate forecast, many online conversations
What happens when an El Niño forecast reaches social media? Drawing on two recent studies, IIASA researchers Dmitry Erokhin and Nadejda Komendantova explore how the same climate information is discussed differently across online platforms and why those differences matter for climate communication and resilience.
Annual Report 2025: Advancing Systems Analysis Program Highlights
As global challenges become increasingly interconnected, the Advancing Systems Analysis Program continued to develop innovative approaches for understanding complexity and supporting better decisions. In 2025, the program’s research revealed new insights into urban sustainability, resilience in an era of polycrisis, public health, and sustainable development.
Publications
Lakmayer, S. & Danielson, M. (2027). Comparing Weight Aggregation Strategies in Group Decision Analysis. In: Advances and Trends in Artificial Intelligence. Theory and Applications. Eds. Fujita, H., Selamat, A., Ghazali, M., & Ali, M., pp. 358-371 Singapore: Springer Nature Singapore. ISBN 978-981-92-2888-1 10.1007/978-981-92-2888-1_29.
Lint, K. & Yosipof, A. (2027). Benchmarking Textual and Metadata Features Against Transformer-Based Embeddings for Crowdfunding Technology Success Prediction. In: Artificial Intelligence Applications and Innovations. AIAI 2026. IFIP Advances in Information and Communication Technology. Eds. Maglogiannis, I., Iliadis, L., Zervakis, M., & Papaleonidas, A., pp. 125-138 Cham: Springer Nature Switzerland. ISBN 978-3-032-30809-2 10.1007/978-3-032-30809-2_9.
Lakmayer, S. & Danielson, M. (2027). Surrogate Weights in Group MCDM Decisions. In: Perspectives on Group Decision and Negotiation: Theory, Technology, and Practice. Eds. Wachowicz, T., Morais, D.C., & Ke, G.Y., pp. 91-104 Springer Cham. ISBN 978-3-032-29551-4
Zobeidi, T. & Komendantova, N. (2026). Mapping climate change adaptation policy instruments in European agriculture: a qualitative analysis of National Adaptation Strategy and National Adaptation Plan. Regional Environmental Change 26 (4) e209. 10.1007/s10113-026-02691-y.
Nasiri, A.R., Mahjouri, N., & Yazdanpanah, M. (2026). A novel hybrid structural equation modeling–machine learning framework for identifying key predictors of pro-environmental behavior: A study of urban cycling. Results in Engineering 32 e111929. 10.1016/j.rineng.2026.111929.