Prologue Why am I writing this book?

Chapter 1: Next-Generation dBrain: The Foundation of AI Innovation Government

1.
The direction of construction of the next-generation dBrain
2. AI-based data analysis infrastructure, CODAS
3.
Data-driven policy situation management system, Koras
4. Challenges for an AI-driven government

Chapter 2: Data-Driven Government Management Platform: Why Next-Generation dBrain?

1.
The direction of data-driven national governance
2.
Decision Support System (DSS)
3.
Implementation of real-time government
4.
Government as a Platform

Chapter 3: Data Science and CODAS Conceptual Design

1.
Data Science and Data Strategy
2. AI-based data analysis platform, CODAS
3.
CODAS's design and implementation goals

Chapter 4: Conceptual Design of the Coras and Management of Government Policy Situations

1.
Koras's goals and conceptual design
2.
Coras' step-by-step analysis model
3.
Managing the policy situation of the Koras and the government

Chapter 5: Overseas Cases of Data-Driven Government Management

1.
Horizontal review for future policy decisions
2.
Future policy-making activities overseas

Chapter 6: Vision and Methodology for AI- and Data-Based Government Administration

1.
The Fourth Industrial Revolution and the Coras Model and Methodology
2.
Reinterpreting the Industrial Revolution
3.
Implementation model of the Fourth Industrial Revolution
4.
The government's AI and digital transformation and next-generation dBrain

Chapter 7: KORUS: The Future of Korean AI and Data-Based Governance

1.
Koras and the National Finance and Economy Digital Twin
2.
Analysis model of the financial and economic digital twin
3.
The M-ABM Analysis Model and the 'New Paradigm' of Fiscal and Economic Policy
4.
Data-driven governance platform and future governance

Chapter 8: Predictive Government Management and AI-Driven Innovation

1.
Changes in the way government works
2.
Responsiveness and accountability in state administration
3.
What is Foresight-Based Governance?
4. The Future of AI- and Data-Based Government Administration

Epilogue: Let's Manage Our Nation with AI and Data

preface

Why am I writing this book? The world is changing rapidly.
The direction of this change is the AI/digital transformation defined by the languages ​​of AI, data, network, and platform, and the central axis (kingpin) of this change is artificial intelligence (AI).


The same applies to administration and state administration.
How can we proactively identify and address risks and opportunities in government through data-driven, evidence-based approaches? How can we leverage AI and data to enhance policy effectiveness and improve the quality of life for citizens? Answering these questions is becoming a core vision and strategy for the AI ​​and digital transformation of government administration and management.
How can this be implemented? Examples of AI- and data-driven governance can be found in numerous places.
The Statistics Korea (SKI) established a preemptive comprehensive policy by utilizing the 2020 COVID-19 infection spread prediction modeling. Furthermore, it applied machine learning technology to the industry and occupation classification coding system to improve the accuracy of statistical classification and reduce budget.
In this way, AI and big data are already being utilized in various fields of government and are showing results.
Moreover, it is not difficult to find examples in the private sector where it is being used for new drug development and to enhance customer service, generating more profits and increasing customer satisfaction.
However, a more comprehensive application to state administration can be found in the next-generation budget accounting system (dBrain) launched by the Ministry of Strategy and Finance on January 3, 2022.
dBrain is a national financial information management system. In the era of AI and digital transformation, it wasn't difficult to determine what vision and strategy were needed to build a next-generation dBrain that would manage and operate national finances.
In line with the vision of “data-driven fiscal management and policy decision support,” the next-generation dBrain has built a fiscal data platform called “KOFIS,” an AI-based data analysis infrastructure called “KODAS,” and a data-driven real-time national situation management system called “KORAHS.”
dBrain, the national financial information management system, handles 24 national financial affairs, analyzes and utilizes financial data, forecasts GDP and tax revenue, and even functions as a "platform government" that manages the state of affairs.
This book is a journey to find answers to the question, "How is AI- and data-based governance, and even national management, possible?" based on the case studies and experiences of building the next-generation dBrain.

To briefly introduce the contents of this book, Chapter 1 introduces a case study of the next-generation dBrain complete reconstruction.
This highlights the fact that the next-generation dBrain will not only be able to efficiently handle national financial affairs, but also lay the foundation for transitioning to a cutting-edge AI and digital innovation government.

Chapter 2 explains why and how next-generation dBrain can be utilized for AI- and data-driven governance.
This is because it can serve as a government-wide platform, equipped with a data platform and AI-based data analysis infrastructure, allowing approximately 1 million public officials in central and local governments to utilize AI technology to analyze and utilize data in real time to make policy decisions.

Chapters 3 and 4 introduce the conceptual design, implementation case studies, and operational methods of KODAS, a data analysis infrastructure, and KORAHS, a national situation management system. Chapter 5 examines overseas cases of national administration through horizon scanning using data for future policy decisions.

Chapters 6, 7, and 8 outline data-driven governance, the vision and methodology for national management, and the foreseeable future of governance.

How can AI and data-driven governance shape the future of national management? The answer lies in building an AI and data-driven governance platform.
Through the development and application of a financial and economic digital twin, we will explore how innovation in fiscal and economic policies under a "new paradigm" is possible and envision a new face for national administration.
These aspects have confirmed its potential while building the next-generation dBrain, and now this book is being prepared to make it a reality.

The next-generation dBrain construction project was carried out over three years, with the participation of approximately 600 professionals, despite the severe COVID-19 situation.
In particular, GDP forecasting and tax revenue projections utilizing data science and AI technologies were new attempts, and were undertaken with great risk in a situation where their feasibility was uncertain.
This was achieved through collaboration, involving various attempts, intense discussions, and verification work, held over a period of one year by approximately 40 people, including macroeconomic and financial experts, data scientists, AI experts, and policymakers from relevant ministries, through a total of 83 meetings.
This was possible thanks to the active cooperation of the Ministry of Strategy and Finance Promotion Team, the Korea Financial Intelligence Unit, the Samsung SDS Consortium Business Group, relevant government ministries, and 833 public institutions that linked a vast amount of data.

In particular, Samsung SDS, the main contractor, implemented the system at a level much higher than the original Request for Proposal (RFP), including establishing financial data governance standards and manuals in accordance with digital transformation, a complete CX overhaul, and the establishment of CORAS. Even though it was not included in the task, Samsung SDS was able to complete an educational program to train data scientists using Brightics AI developed by Samsung SDS.

The Korea Financial Intelligence Unit (KFIU) leveraged its many years of experience in operating the system to participate in the project from its inception, verifying the quality of 14,762 developed programs and conducting six complete integration tests, resulting in zero system errors since system stabilization.
I would like to express my sincere gratitude to everyone who has dedicated themselves to the success of the next-generation dBrain business.

The next-generation dBrain business has another meaning.
Through this project, the South Korean government has laid the foundation for an AI- and digital-innovative government. To achieve this, there are essential elements necessary.
This includes a massive data platform covering all aspects of government administration and an AI-based data analysis infrastructure capable of analyzing and utilizing it.
And this should be available to all public officials.
This is possible with the next generation dBrain.
We have established a data platform and analysis infrastructure, enabling all one million public officials at the central and local levels to access the secure administrative network, enabling them to conduct not only financial affairs but also data analysis and utilization, as well as monitor policy status in each field.

But we need to go one step further.
We need to develop the AI ​​and data utilization capabilities of civil servants who are users.
Additionally, there is a need to enhance the data-based national situation management system, 'KORAHS'.
We must be able to monitor the entire state administration from a 360-degree perspective and respond proactively.
The "Financial and Economic Digital Twin" research and development project, launched in May 2022, is designed to facilitate this advancement and advancement.

The new government, which was launched on June 4, 2025, is presenting its national vision of becoming one of the top three AI powerhouses leading the global economy through the Artificial Intelligence Transformation (AX).
To realize this vision, our government must transform into the world's leading, cutting-edge AI innovation government.
Not only the government, but also the entire nation must establish a new national vision and strategy based on AI and data, create a mid- to long-term roadmap, and boldly pursue artificial intelligence (AI) transformation (AIX) and digital transformation (DX) to achieve growth and a great leap forward for the Republic of Korea based on this.
By effectively leveraging and further enhancing the digital assets already built on the next-generation dBrain, the "future of AI- and data-driven state administration" can be realized within two to three years.
And based on this, we can achieve the vision of an AI transformation (AX) and an AI innovation government.
This could be the path for South Korea to truly become a world leader. Let's open the door to AI- and data-driven governance, and even the future of national management.
That's why the authors put their heads together to write this book.

July 2025
In Seoul and Rheinrichsburg, Germany
All authors