Urban metabolism is a model to study the flow of energy and resources as they enter cities, how they are used and consumed, and how they exist cities as wastes. By studying urban metabolism, we can get a better understanding of how resources are used and ways to reduce negative environmental impact. As the fraction of people living in cities continue to expand around the world, urban metabolism analysis can help decision makers develop cities to become resource efficient, climate friendly, resilient and equitable. More
The transport sector has accounted for 28% of the CO2 emissions in Austria in 2015, more than half of which are due to passenger cars. Unlike most other sectors, emissions from the transport sector are still increasing. In order to fulfil the ambitious goals set by the Paris Agreement and to act in line with the sustainable development goals (SDGs), these emissions will have to be reduced substantially. More
The Austrian government launched its climate and energy strategy in 2018 aimed at decarbonizing production and consumption and creating opportunities for green growth. Recent research shows that Austria is facing the challenge of aligning its greenhouse gases (GHG) emissions to the EU2030 targets and a green investment gap has to be filled. There is an urgent need to understand the conditions for an effective scaling-up of green finance in the Austrian economy and financial market, while avoiding trade-offs for economic competitiveness and financial stability. More
For over thirty years, environmental justice has been a thriving research field in the United States. However, until recently, similar research has neither been conducted for most European countries nor for the European Union as a whole. More
Unanticipated migration inflows can have positive and negative economic and social consequences depending on policies implemented by the recipient country to cope with the manifold challenges. Model-based scientific assessments of in-migration on a country's national economy are hence needed, as is meaningful stakeholder deliberation of alternative policies to support the integration of refugees in ways that contribute to resilient and sustainable societies. More
The EU is in the process of developing and implementing bioeconomy strategies to foster the transition from a fossil fuel-based to a renewable, biobased economy. Filling in a major knowledge gap, BIOCLIMAPATHS project develops the first interdisciplinary methodological framework that contains the whole logic flow of the knowledge development process. More
The goal of the NDI Think Tank Action is to enhance regional cooperation in the Northern Dimension area through science diplomacy, capacity building and people-to-people contacts. This Action supports EU’s Northern Dimension framework that aims at promoting dialogue and cooperation between the EU, Russia, Norway and Iceland and supporting the EU Arctic policy. More
EconTrans takes an innovative integrated approach to address challenges that are deeply interlinked: reducing greenhouse gas (GHG) emissions, achieving the Sustainable Development Goals (SDGs), and coping with fundamental transformations triggered by disruptive technologies. The spatial focus of EconTrans is on Austria, while its emissions perspective and policy embedding is globally consistent. More
The Platform Value Now project funded by Finland’s Strategic Research Council focuses on understanding the fast emerging platform economic ecosystems, their value creation dynamics and requirements of the supportive institutional environment. It analyzes economic ecosystems with systems tools and develop new methods for platform-centric economic ecosystems management. More
Dynamic Global Vegetation Models (DGVMs) are invaluable for understanding the biosphere. However, as currently implemented by the international research community, these models suffer from a challenging accumulation of uncertainty. This project aims to address this problem by developing the foundations of a new generation of models centered on a “missing law” – adaptation and optimization principles rooted in natural selection. More
The Systemic Risk and Network Dynamics project will examine how different types of systems, ranging from financial to ecological and beyond, are at risk of cascades of failures. As well as assessing this risk, this cross-cutting project will develop tools to help prevent such events. More
The international research project “Challenges and Opportunities of Economic Integration within a Wider European and Eurasian Space” focuses on plausible futures of economic cooperation in the Greater Eurasian space and interplay between different integration processes in the region. A particular specific aim of the project is to discuss, analyze, and critically evaluate diverse issues related to economic cooperation between countries and blocks within the Eurasian continent covering the European Union, the Eurasian Economic Union, Eastern Partnership, Central Asia, and their neighbors. More
This research project funded through the Systems Analysis Forum (SAF) aims to better understand the interaction between labour flows and capital flows in an economy. This work will help to improve the assessment of welfare dynamics and evaluate policies that can lead to higher levels of economic welfare. More
This research project funded through the IIASA’s Systems Analysis Forum (SAF) explores methods of finding efficient, consensus-enabling solutions reconciling competing goals of diverse agents with potentially unequal bargaining positions. More
A research project which uses social simulation as a new method to examine stakeholder cognition and interaction, and explores how gaming-based empirical observations may be used in quantitative analysis. More
Well-being as the highest policy priority of any nation: a systems analysis. Well-being, happiness, quality of life or life satisfaction are the ultimate goals of any human, regardless of status, profession, wealth, religion, or nationality. So far, however, there is no "policy" for happiness in any country; rather, well-being is an emerging property of the national economic and social systems. The question then becomes: How can policymakers leverage the national subsystems and their interactions to increase well-being of all? The answer to this question is surely not simple, but one where systems analysis is a suitable methodology. ASA researchers explore this issue at ASA in partnership with relevant institutions. More
The Project develops a cross-disciplinary modeling and assessment framework. It consists of two parts: Dream Valley simulator and A3 framework. The Dream Valley simulator simulates complex dynamical systems, while the A3 framework implements and tests methods for forecasting their future behaviors. More
Water is a truly cross-sectorial resource that has an impact on population well-being, economic growth, and the environment. Developing resilient (“no-regret”) water strategies given conflicting interests and great uncertainty is of the highest importance for the sustainable development of any country. Feasible policies should reconcile conflicting interests of different sectors and different stakeholders and should take a proper account of immense uncertainty about the future availability of water resources and key factors, which impact it. More
Growing globalization increases the interconnectedness of countries embedded in complex supply and value chains. Countries also become increasingly interdependent through transnational transport corridors, the exchange of information and knowledge investments and migrant flows, etc. The future of the Kyrgyz Republic - a small, landlocked and open developing economy - is heavily influenced by global and regional geopolitical and geoeconomic processes. More
This project investigates the socio-economic impacts, risks and opportunities, and potential for conflict, of different electricity scenarios and power production technologies in several countries within the MENA region. More
Focusing specifically on Austria's 'model regions', the project aims to provide insights into the implementation of the Austrian government’s previous target to become energy self-sufficient by 2050. More
This project contributes to the theory of optimal control and to the literature on endogenous economic growth. In pursuit of this dual aim the project contains a theoretical part that develops a methodology for finding approximate solutions to the type of optimization problem formulated above and an applied part in which this methodology is used to find an optimal allocation of labor and exhaustible resource in a model of endogenous growth constrained by a non-renewable resource. More
The International Foresight Academy is the first organization to bind together Foresight activities around the globe and from contrasting cultural and political contexts. As the Mapping Report of the European Foresight Monitoring Network (2009) has documented, Foresight is used differently in various regions of the world. Foresight activities vary according to sponsors and customers, meth- ods used, topics explored, actors involved etc. They vary also with regard to their functions in political strategy formulation of modern democracies. More
Within this EU-funded project, a dynamic stochastic optimization model was proposed to support robust management of energy provision in public buildings. More
This research project focuses on analysis of resource productivity as one of the major drivers of economic growth, closely associated with environmental pressures and playing an increasingly significant role in Asia and in Latin America. More
The focus of this 2-year research is on learning, more specifically, on the spatio-temporal assessment of uncertainty in GHG emission inventories and how our knowledge increases in terms of predictability across space and time, and whether our insights into learning will eventually allow to better handle (reduce?) uncertainty in prognostic emission scenarios or, more generally, scenarios of global change. More
The objective of this 1-year, call-winning proposal is to advance our insights in retrospective learning in order to better handle (reduce?) uncertainty in prognostic scenarios; in particular, to provide a reference (standard), which is readily understandable and which prognostic modelers can use in order to inform experts as well as non-experts about the “predictive” power, and its limitation, of their models. To our knowledge, such a reference is not applied at all. More
ClimTrans2050 addresses the requirement to design and implement mitigation and adaptation measures to meet very long term greenhouse gas (GHG) emission reduction commitments. More
This project jointly run by STEPI (Science and Technology Policy Institute, Seoul, Korea) and ASA, IIASA aims to provide foresight into possible consequences of several major shocks which may hit the economy of South Korea. More
The transition to a low carbon economy by 2050 will involve irreversible step-changes in the cultural, economic and natural domains. COMPLEX develops new modelling tools and decision-support systems to support communities across Europe working to make the transition to a low-carbon economy. More
Monitoring resilience – Development of a software-supported method for the network-based analysis and measurement of social cohesion and resilience of critical systems using Austria as an example The inevitability of surprises is a key feature in systems thinking, and the ability to persist through disturbances is a function of resilience. This project links resilience concepts from diverse scientific disciplines to develop a measure of resilience for Austria’s critical systems. More
The research initiative aims at increasing the systemic understanding about the impact of global trends and unforeseeable shocks on the Finnish national economy and regional economies as well as producing science-based tools for practical policy planning, which will support sustainable regional growth in the volatile global environment; such planning that minimizes the need for the special corrective actions in the future and that maximizes the sustainability of regions. More
This joint project of the National Science Foundation of China (NSFC) and the International Institute for Applied Systems Analysis (IIASA) develops an integrated methodology for investigating the interplay between urban development and ecological stress in rural mountain areas in China. More
The project, which provides policy advice to Ukraine, investigates how the complex linkages and differences between agriculture, energy, and water security can be sustainably developed and coordinated at both the spatial and temporal scales, given the potential systemic risks involved. More
Last edited: 31 January 2020
Program Director and Principal Research Scholar Advancing Systems Analysis Program
Sperling, F., Havlik, P. , Denis, M., Valin, H. , Palazzo, A. , Gaupp, F., & Visconti, P. (2022). Toward resilient food systems after COVID-19. Current Research in Environmental Sustainability 4, e100110. 10.1016/j.crsust.2021.100110.
Opara, K. & Oh, P.P. (2022). Regularization and concave loss functions for estimation of chemical kinetic models. Applied Soft Computing 116, e108286. 10.1016/j.asoc.2021.108286.
Jurasz, J., Piasecki, A., Hunt, J. , Zheng, W., Ma, T., & Kies, A. (2022). Building integrated pumped-storage potential on a city scale: An analysis based on geographic information systems. Energy 242, e122966. 10.1016/j.energy.2021.122966.
Fraisl, D. , See, L. , Sturn, T., MacFeely, S., Bowser, A., Campbell, J., Moorthy, I., Danylo, O., McCallum, I. , & Fritz, S. (2022). Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring. Environmental Science & Policy 128, 81-93. 10.1016/j.envsci.2021.10.034.
Strelkovskii, N. , Rovenskaya, E. , Ilmola-Sheppard, L., Bartmann, R., Rein-Sapir, Y., & Feitelson, E. (2022). Implications of COVID-19 Mitigation Policies for National Well-Being: A Systems Perspective. Sustainability 14 (1), p. 433. 10.3390/su14010433.
Ermoliev, Y., Zagorodny, A.G., Bogdanov, V.L., Ermolieva, T., Havlik, P. , Rovenskaya, E. , Komendantova, N. , & Obersteiner, M. (2022). Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management. Sustainability 14 (3), e1255. 10.3390/su14031255.
Bora, J., Saikia, N., Kebede, E.B., & Lutz, W. (2022). Revisiting the causes of fertility decline in Bangladesh: the relative importance of female education and family planning programs. Asian Population Studies, 1-24. 10.1080/17441730.2022.2028253.
Huggins, X., Gleeson, T., Kummu, M., Zipper, S.C., Wada, Y. , Troy, T.J., & Famiglietti, J.S. (2022). Hotspots for social and ecological impacts from freshwater stress and storage loss. Nature Communications 13 (1) 10.1038/s41467-022-28029-w.
Krasovskiy, A. & Platov, A.S. (2022). Algorithm for Solving a Problem of Optimal Control of Structured Populations Interacting at Stationary States. Proceedings of the Steklov Institute of Mathematics 315 (1), 140-148. 10.1134/S0081543821050102.
See, L. , Georgieva, I., Dürauer, M., Kemper, T., Corbane, C., Maffenini, L., Gallego, J., Pesaresi, M., Sirbu, F., Ahmed, R., Blyshchyk, K., Magori, B., Blyshchyk, V., Melnyk, O., Zadorozhniuk, R., Mandici, M.-T., Su, Y.-F., Rabia, A.H., Pérez-Hoyos, A., Vasylyshyn, R., Pawe, C.K., Bilous, S., Kovalevskyi, S.B., Kovalevskyi, S.S., Bordoloi, K., Bilous, A., Panging, K., Bilous, V., Prestele, R., Sahariah, D., Deka, A., Nath, N., Neves, R., Myroniuk, V., Karner, M., & Fritz, S. (2022). A crowdsourced global data set for validating built-up surface layers. Scientific Data 9 (1) 10.1038/s41597-021-01105-4.
International Institute for Applied Systems Analysis (IIASA)
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