• Informatization Policy
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• v.28 no.1
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• pp.77-93
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• 2021

This study is based on a review of how and in which stages evidence can be used, in practice, in the policy process and proposes an information analysis framework capable of inducing continuous interaction among stakeholders and an operation procedure that allows experts to reconcile conflicts through the analyzed information. In particular, it focuses on the strategic planning process carried out in the policy formation stage of the R&D policy process, which promotes the creation of knowledge related to science and technology required to improve national competitiveness and solve social and environmental problems. Conflicts are negotiated and resolved by ensuring rationality in the policy process, following the operation procedure and inducing communication between the stakeholders participating in national R&D strategic planning related to the issue of population aging throughout utilizing the provided useful information. Our results showed that the proposed operating procedures and information analysis framework had a positive effect on the communication-oriented shift. Thus, in order to promote conflict management, an agreed operating procedures and information analysis framework should be established between stakeholders, thereby reducing a conflict of opinions in advance. This article realizes the true meaning of movement of evidence-based policies. In addition, the framework is helping support evidence-based R&D policies by strengthening rational behavior.

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.635-651
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• 2009

Democratization and advancement of a society requires the Government's commitment to evidence-based policy. Though statistic is known as one of the best available evidence, there has been only a few case studies to tell real stories about using statistics for policy making. The object of this study is to suggest some real stories about using the Housing Purchase Price Survey for some property policies. By reviewing the origin and development of the survey, we evaluate the design and analysis strategies adopted in the survey. In addition, we describe how the Housing Purchase Price Indices have been used by the Government for some property policies.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.173-183
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• 2019

Sejong, Korea's special multifunctional administrative city, was created as a national project to relocated government ministries, the aim being to pursue more balanced regional economic development and boost national competitiveness. During the second phase development will focus on mitigating the challenges raised due to the increasing population and urbanization development. All of infrastructure, apartments, houses, private buildings, commercial structures, public buildings, citizens are producing more and more complex data. To face these challenges, Sejong city governments and policy maker recognizes the opportunity to ensure more enriched lives for citizen with data-driven city management, and effectively exploring how to use existing data to improve policy services and a more sustainable economic policy to enhance sustainable city management. As a city government is a complex decision making system, the analysis of astounding increase in city dada is valuable to gain insight in the affecting traffic flow. To support the requirement specification and management of government policy making, the graphic representation of information and data should be provide a different approach in the intuitive way. With in context, this paper outlines the design of interactive, web-based dashboard which provides data visualization regarding better policy making and risk management.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2016.10a
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• pp.383-391
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• 2016

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.151-157
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• 2015

• Journal of Digital Convergence
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• v.10 no.3
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• pp.99-104
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• 2012

The digital forensics are new kinds of security that investigate and verificate fact relation about activities based on digital data. In this paper, we implemented digital forensic tool that can be used in collecting, analyzing, and reporting evidences. This tool support intuitional GUI that everybody can analyze easily. And a simple operation can collect and analyze active data. Also, we can decrease much time and endeavor by using this forensic tool that support reliable data.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.43-55
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• 2020

The purpose of this study was to find ways to impact policies in order to invigorate convergence research as a whole (including science or engineering-based and its humanities-based counterpart), so it can be recognized as the science of its own form. Firstly we looked at the definition of convergence research. Secondly, we looked at the definition of policy and how policies are produced. Lastly, we explored the relationship between convergence research and policy decision making. The current issues faced by the convergence research were the fact that it was largely under-appreciated and inadequately supported both in terms of policy and financial support. In this study, we explore the relationship between research and policy based on a research utilization model, which can be categorized the research and policy relationship into four types. Then we sought for various cases to explore how research can affect policies as scientific evidence; how the technological changes caused by convergence research can be shaped into policies; and then provide insights for what challenges needed to be addressed in order to have a positive impact on the relationship.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.63-81
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• 2023

This study endeavors to classify and categorize similar policy programs through network clustering analysis, using textual information from data-related policy programs in Korea. To achieve this, descriptions of data-related budgetary programs in South Korea in 2022 were collected, and keywords from the program contents were extracted. Subsequently, the similarity between each program was derived using TF-IDF, and policy program network was constructed accordingly. Following this, the structural characteristics of the network were analyzed, and similar policy programs were clustered and categorized through network clustering. Upon analyzing a total of 97 programs, 7 major clusters were identified, signifying that programs with analogous themes or objectives were categorized based on application area or services utilizing data. The findings of this research illuminate the current status of data-related policy programs in Korea, providing policy implications for a strategic approach to planning future national data strategies and programs, and contributing to the establishment of evidence-based policies.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.109-109
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• 2021

우리나라의 수자원 정책은 1960~80년대까지 성장 중심으로 추진되어 왔으나 환경오염, 소득 양극화 등의 여러 한계(the Limit to Growth)에 부딪히면서 성장과 함께 환경과 복지를 고려한 정책이 대두되기 시작하였다. 물분야는 수량과 수질 인프라에 지속적 투자를 통해 상수도 보급률은 97%, 하수도 보급률은 94%까지 향상되었으나, 물 서비스에 대한 계층·지역·세대 간 격차와 불평 등은 여전히 존재하고 있다. 따라서 증거기반에 입각한 전국민의 보편적 물복지 정책 실현을 위해서는 정량적 평가에 의한 물복지 수준 진단이 필요하다. 본 연구는 우리나라의 물복지 수준진단을 위한 지표와 지수체계의 개발 및 분석을 통하여 지자체의 물복지 상황을 진단하고, 이에 따른 물복지 정책을 진단하고자 한다.