Want to learn how to turn your research into real policy impact? At the Green Policy Lab, a summer school co-organized by the University of Vienna and IIASA, you’ll explore how researchers can meaningfully contribute to green and evidence-informed policymaking. Through an immersive program combining hands-on learning, expert input, and international exchange, you’ll discover what it takes to navigate the science-policy interface and make your research count. Join us and become part of a growing community shaping greener and more resilient futures
EDITS (short for Energy Demand changes Induced by Technological and Social innovations) is a global network of researchers, scientists, modelers and practitioners, who deepen knowledge and expertise on solutions and innovations that drastically reduce energy and material demand.
As part of their community work, the EDITS network organizes regular public webinars, which are collected on this page.
The 2024 Annual Report provides a concise overview of the achievements and contributions made by IIASA researchers in various fields over the past year. In addition, it illustrates the Institute's effective use of science diplomacy, capacity building, collaborations, and networks, and highlights the structures, policies, and processes IIASA has implemented to enrich the research ecosystem and maintain its reputation as a leading center for impactful, policy-oriented applied systems analysis.
IIASA offers a comprehensive range of benefits designed to support international employees and their families. This reflects the Institute’s commitment to being an employer of choice for global talent and to creating an environment where international hires feel welcomed, supported, and empowered to thrive - both professionally and personally.
To make real-world impact, integrating a systems perspective into decision-making necessitates transcending disciplinary boundaries and forging partnerships beyond the scientific community. ASA research engages with policymakers in interactive processes of co-production of theories of change, data, interventions and insights.
The rapid advancement of machine learning and the intelligence it enables presents a unique opportunity to enhance systems analysis and its applications in policy, societal decision-making and practice implementation. ASA uses a variety of these techniques to convert data into information and knowledge, to make modelling of complex systems more efficient, and to enable new insights which cannot be produced by other techniques.