By identifying which barriers to achieving deep reductions in greenhouse gas emissions can be removed by changing policies and economic incentives, the Attainability Project is pinpointing the best short- and long-term responses available to policymakers. More
The Dream Valley Project will develop a cross-disciplinary modeling and assessment framework for simulating complex dynamical systems and testing methods for forecasting their future behaviors. More
The project consortium is developing a Decision Support System to assist operators of complex buildings manage energy needs in a more efficient, less costly, and less CO2-intensive manner. More
The Forest Structure project is creating a model that, by encompassing a broad scale that runs from individual trees up to entire forests, will allow researchers to better understand the impact of climate change, major disturbances, and succession on forests. More
The goal of the Game Dynamics Project is to better understand the highly complex dynamics of interactions between players acting in different sectors with no set behavior patterns. More
Using systems analysis tools to examine the drivers of economic growth, this project is developing economic scenarios to determine how best to achieve sustainable development. More
The project’s goal is to understand the heterogeneous interactions of the parts of large socioeconomic systems that function across many sectors and are driven by multiple agents. 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
This project develops new and advanced models, methods and tools for supporting robust decision-making for complex problems under deep uncertainties, an interlinked spatio-temporal, multi-agent decision environment, and systemic risks. More
The Model Integration Project will overcome the limitations of current integrated models in studying complex systems and develop simpler models that can create synthetic knowledge and describe complex systems from different perspectives. More
The project is investigating the implications of seven different shocks on Finnish society, and will create a portfolio of actions that could increase the resilience in responding to the shocks. More
The goal of this project is to understand mechanisms leading to extreme events in complex dynamic, with special attention paid to the risk of cascading failure in networks. More
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