Researchers at the Electronics and Telecommunications Research Institute (ETRI) are actively pursuing research on AI-based policy intelligence that can provide essential assistance in public decision-making, such as supporting policy execution decision-making by domestic and foreign national and local governments, in cooperation with overseas researchers.

ETRI announced on the 1st that it has decided to establish a cooperative system with the International Institute for Applied Systems Analysis (IIASA), a global research institute in Austria, for research on AI policy intelligence that assists public policy decision-making.

The research team plans to work with IIASA to develop policy intelligence that can provide practical assistance in the government's implementation of public policies.

We also plan to expand the public policy intelligence field and spur research on sustainable future technologies.

Through this agreement, the two organizations will begin cooperation on improving the MABM (Macro Agent-based Model) model for fiscal policy decision-making by government function, and will strengthen international collaborative research to solve global challenges such as population, climate, and environmental changes in the future.

This technology cooperation will enable the virtual setting and experimentation of policy elements that are difficult to handle in reality within a common virtual national economic and social framework when formulating various public sector policies.

This makes it scientific and evidence-based. It is expected that reliable policy decisions will be made.

For example, when changes in economic indicators are detected through monitoring within the actual national economic system, policy simulation experiments and forecasts are conducted in a virtual national economic simulation system using technologies such as digital twins.

Here, not only financial data but also macro and micro data are input and synchronized.

This is the process by which the optimal policy is derived through an AI decision-making agent.

Therefore, this series of financial and economic digital twin frameworks plays a role in actively supporting decision-making for policy implementation.

ETRI is conducting numerous R&Ds and possesses core technologies related to ▲analysis and prediction of national economic and social phenomena, ▲artificial intelligence technology for national policy decision-making, and ▲policy intelligence convergence platform technology.

IIASA studies the environment, energy, climate change, economics, technology and policy, with the aim of tackling complex problems and developing sustainable solutions through systems analysis.

ETRI Financial and Economic Policy Intelligence Research Center Director Lee Yeon-hee said, “With this technical cooperation agreement, we will strengthen our modeling research cooperation with IIASA to scientifically analyze and predict complex problems and develop sustainable policy intelligence solutions.”

Meanwhile, the data framework management interface developed by the research team to help with public decision-making was adopted as a new international standard at the SG11 (Protocol and Test Specification Study Group) meeting of the International Telecommunication Union Telecommunication Standardization Sector (ITU-T) held in Geneva, Switzerland in May.