Major ASA Projects
The major projects of the ASA Program are:
An Artificial World for Forecasting (Dream Valley)
The Project developes 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 testes methods for forecasting their future behaviors. More
Modeling the Structure of Forests
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
Interactions in Economic Sectors (Game Dynamics)
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
Global Economic Growth and Optimization
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
Management of Heterogeneous Dynamical Systems
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
Integrated Analysis and Modeling of Land Use Efficiency and Security under Rapid Agricultural Transformation due to Urban-Rural Dynamics in China
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
Integrated Modeling of Management Solutions for Robust Food, Energy, and Water Security
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
Integrated modeling of food, water, and energy
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
Integrated Modeling of Robust Solutions for Food, Energy, and Water Security Management
This project, which provides policy advice to Ukraine, investigates how the complex linkages and differences among agriculture, energy, and water security can be sustainably developed and coordinated at both the spatial and temporal scales, considering the potential systematic risks involved. More
Creating Synthetic Knowledge for Complex Systems (Model Integration)
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
Systemic Risk and Network Dynamics
This project will deepen the understanding of cascading failure in networks and develop ways to lessen the risks of collapse and improve recovery. More
Systemic Risks, Security, and Robust Solutions
The project develops new and advanced models, methods, and tools for supporting robust decision-making for complex problems under deep uncertainties, interlinked spatio-temporal multi-agent decision environment, and systemic risks. More
Drivers of Extreme Events
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