Agent-based Modeling for Korean Strategic Foresight

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.  


The current foresight methods are mainly based on descriptive scenario building which provide decision-makers with a set of narratives of the end states of the alternative futures. Contrary to this, this project focuses on the transition process to those end states.  

Practically, the ambition of this project two-fold. Firstly, it aims to produce a computer interactive tool that provides decision-makers with a better understanding on the dynamics of potential futures. The focus of the study is, therefore, on how futures are unfolding, in additon to what may have happended.   

Secondly, the project will assist policy planning in testing potential impacts of the different policy options. 

IIASA Research

The research is a part of the ASA exploratory studies of uncertainty. 

This project is based on the previously developed economic Agent-Based Model (ABM) called Dream Valley (DV). The model has been designed to simulate the regional dynamics in case of global (external) shocks of different sort.  The primary use of the model is to analyze of the disruptive changes and for testing different policy options used for mitigating the shock impact. The previous case-study was carried out within the project Structural Change of the Finnish Economy – a Systems Approach.  

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Last edited: 23 October 2017


Elena Rovenskaya

Program Director

Advanced Systems Analysis

Acting Program Director

Evolution and Ecology

T +43(0) 2236 807 608


Leena Ilmola-Sheppard

Senior Research Scholar

Advanced Systems Analysis

T +43(0) 2236 807 614


Nikita Strelkovskii

Research Scholar

Advanced Systems Analysis

T +43(0) 2236 807 653


2014 - 2015

Korean Facts Sheet

International Institute for Applied Systems Analysis (IIASA)
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Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313