ASA Program aims to discover, develop, and deploy new, more effective, and efficient ways of infusing systems science into policy and decision making for sustainable development.
Explore options to engage with ASA
The Advancing Systems Analysis (ASA) Program welcomes expressions of interest from researchers at all career stages who wish to collaborate with us in advancing data, methods, and models as well as inter- and trans-disciplinary research to tackle the complexity of pressing sustainability challenges. More information on options to engage with ASA.
Despite numerous success stories, many policies and decisions that currently aim to deal with global change are not sufficiently informed by cutting-edge science. Among the major barriers that prevent the effective input of science into policy are perceived shortfalls in agility, realism, and relevance of the current generation of methods and models from the standpoint of end users. To address these barriers, ASA strives to advance agile, realistic, and relevant systems analytical tools and methods, and facilitate a shared understanding of the capabilities and limits of these tools and methods with end users. Consequently, ASA’s efforts span the full range, from advancing research methods and tools of systems analysis to innovating at the interface between policy- and decision making, as well as with society at large.
ASA Program’s major objectives are:
- To innovate approaches and tools to analyze increasingly systemic, social-ecological risks and support decisions aimed at enhancing resilience and facilitating sustainability transitions and transformations.
- To further the capacity of agile, on-demand systems analysis underpinned by a suite of modeling frameworks of appropriate complexity.
- To mobilize multiple sources of data and the power of data science to diagnose and identify solutions to reduce vulnerabilities and risks.
- To advance feasible and effective ways of engagement with policymakers, the private sector, and citizens.
- To enhance trust and shared understanding of systems analysis methods and tools, in particular, through open science.
Projects
Staff
News
03 July 2026
Building bridges: Indian Ambassador visits IIASA
03 July 2026
Tree-Quest: a citizen science tool for collecting single-tree information
02 July 2026
IIASA welcomes delegation from the National Research Foundation South Africa
Events
University of Birmingham, UK
IIASA at the Zurich Climate Resilience Alliance Global Learning Event 2026
Focus
Annual Report 2025: Advancing Systems Analysis Program Highlights
23 February 2026
Validating disaster and climate resilience: how to create a gold standard for resilience-measurement
As climate risks intensify, fostering community resilience has become a global priority but a fundamental question remains for practice and policy: how can resilience be defined, measured, and proven to inform implementation? Together with the Zurich Climate Resilience Alliance, IIASA researchers have spent more than a decade developing and scientifically validating a universally-applicable framework to measure community resilience, turning a concept into an evidence-based tool to guide real-world implementation in the most vulnerable communities across the globe.
Publications
Park, C. (2027). Beyond error reduction: Dimensional analysis reveals qualitative differences in motor expertise. Information Processing & Management 64 (1) e104951. 10.1016/j.ipm.2026.104951.
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
Berger, K., Requena Suarez, D., Szantoi, Z., César de Sá, N., Fritz, S. , Milenkovic, M., Maso, J., Heinrich, V., & Herold, M. (2026). Towards a FAIRer future: insights from Europe's geospatial community. European Journal of Remote Sensing 59 (1) e2676254. 10.1080/22797254.2026.2676254.
Eker, S. , Reiter, C. , Liu, Q., Kuhn, M., & Lutz, W. (2026). Wellbeing cost of carbon. Global Sustainability 9 e1. 10.1017/sus.2025.10042.