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- 저자 : 한웅규(Ungkyu Han) (검색결과 8 건)
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한웅규(Ungkyu Han),이아람 과학기술정책연구원 2021 정책연구 Vol.- No.-
Since the introduction of region-wide frameworks to Korea in the mid-1990s, Korea has experienced a shift in the policy frameworks for national development from the national level onto region-wide approaches that emphasize the increasingly important role of local authorities and local spaces. In this situation, there has been a question on redundancy and connectivity between ministries’ regional plans and/or programs as the number of them has rapidly increased over the past two decades. However, there has not been a holistic analysis on the redundancy and connectivity issue regarding ministries’ regional innovation plans and programs. In this context, we aim to investigate Korean government plans and programs for regional innovation in terms of coordination and cooperation within each of four ministries(MSIT, MOTIE, MSS and MOLIT) and among them, by adopting a text analysis approach7). To this end, we first gather keywords from four ministries’ official plans and programs regarding regional innovation for the year of 2020. In sequence, we carry out a text analysis to figure out intra-/inter-redundancy and intra-/inter-connectivity of regional innovation plans and programs within each ministry and among them. On the basis of analysis results, we identify the fact that MOTIE acts as a bridge among four ministries in both terms of plans and programs. Also, MSIT and MOTIE have a unconnectedness problem between a major plan and programs within each ministry. MSS may not seem to be a dominant player that is expected to lead other ministries in terms of SMEs and startups support. In order to supplement the above problems, we suggest four policy measures: ① reinforcement of ministries’ role and responsibility through the revision of the National Government Organization Act; ② construction of ministry-wide regional innovation cooperation governance; ③ establishment of 「Regional Innovation Policy Coordination Committee」; and ④ provision of code specific to each regional innovation program.
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한웅규(Ungkyu Han),김영환(Younghwan Kim),이세준(Sejun Lee),이현민(Hyunmin Lee) 과학기술정책연구원 2021 정책연구 Vol.- No.-
Since the 1970s, region-wide industries have suffered from national shocks including oil shock, the Asian financial collapse, recently COVID-19 pandemic, and son on. In every crisis, the Korean government has implemented a variety of policies for developing new industries of regions, espicially non-capital ones. However, the results of such public interventions might have not been as satisfactory as expected because of superficial support plans. Relevant to the above, the purpose of this research is to figure out contextual attributes that are hidden in the process of embedding new industries into regions. To this end, we investigate Gwangju photonics and Jeonju carbon industry as research objects by means of expert committees(qualitative approach) and text analysis(quantitative approach). On the basis of the analysis results, regions may need to develop new industries in four ways: (Way 1) expansion of regional firms’ accumulated innovation accomplishment, (Way 2) re-diversification of existent new industries, (Way 3) construction of SMEs’ self-innovation system and (Way 4) reinforcement of region-led innovation base. For actualizing the four ways, in detail, we suggest eight policy measures: (Policy Measure 1-1) inducement of large technology firms’ spin-offs, (Policy Measure 1-2) implementation of ‘first’ global branding program for regional small giant technologies, (Policy Measure 2-1) national management of new regional industry portfolio, (Policy Measure 2-2) introduction of new large-scale national programs specific to regional new industries, (Policy Measure 3-1) stimulation of basic R&D and demonstration based on public technologies relevant to emerging industries, (Policy Measure 3-2) construction of mega-regional in- & out-bound collaborative innovation platform, (Policy Measure 4-1) operation of I-U-R-G-L regional new industry development committee, and (Policy Measure 4-2) block-fund-raising exclusive to regional new industries.
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국가난제 해결을 위한 과학기술 관점의 경제 · 사회 시스템 혁신전략 연구(2차년도) - 제1권: 총론 -
안형준(Hyoung Joon An),하태정(Tae Jeong Ha),양승우(Seongwoo Yang),이혁(Hyeok Lee),한웅규(Ungkyu Han),이혜진(Hyejin Lee),이다은(Daeun Lee),김태양(Taeyang Kim),진성만(Sungman Jin) 과학기술정책연구원 2020 정책연구 Vol.- No.-
The aim of this research, the second year of a STEPI"s five-year research project, is to propose policy measures for the existing wicked problems with a new approach in science and technology regarding the circumstances where society is becoming more complex. Initially, the term "wicked problem" ordinarily refers to a problem that is difficult to solve. Academically, it was proposed by several scholars in the 1970s. As defining the wicked problems and its characteristics, they do not focus on solving them but present sustainable measures within a manageable range. To develop their perspective, this research tries to diagnose the problems according to the characteristics of national wicked problems, such as the complexity of the problems, uncertainty, and persistence, and to propose a suitable solution. The fundamental viewpoint is that wicked problems continually evolve within the socio-technical system beyond repetitive resolution depending on the context and the current unilinear diagnosis and solution. We reviewed several cases acknowledged as national challenges in Korea from the 1960s-1970s to the 2000s to study the characteristics of the wicked problems. As a result, we found that the wicked problems continues to evolve and develop according to the life cycle. The problem becomes more manageable or more complicated depending on the political and social context, and that the parts of conflict resolution are critical to stake-holders. We learned that science and technology are sometimes used as an essential tool in resolving the conflict and sometimes create new problems and make them more complicated. Based on these findings, we decided to diagnose the problem by focusing on three primary characteristics: temporal persistence, actor complexity, and uncertainty of factual relationship, seeing them as essential characteristics of the wicked problems. These characteristics are linked to three methodologies: Wicked Problem Pathway, Wicked Problem Map, and Causal Feedback Loop for analyzing the cause of system fixation. We applied the diagnosis methods into three major wicked problem areas and sub-topics; military corruption and defense R&D, life and marine wastes, and decline in rural population and industry which were selected while operating the STEPI National Wicked Problems Forum & Defense Subcommittee, Regional Subcommittee, and Environment Subcommittee. Regarding the solution method, we chose the approach to derive a resolution for repetitive, convergent, and flexible policy responses instead of a unilinear and one-off solution. Based on these results, we applied a stratified analysis method to present solutions suitable for this direction and experts in each field and determine the policy priorities of the solutions while operating the STEPI Forum. As a result, it was possible to list the priorities of policy alternatives suggested by the three subcommittee. Through these efforts, STEPI National Wicked Problems Research Team is making efforts to provide new insights and propose new methods for solving the various challenges that the country must solve.
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황석원(Seogwon Hwang),양승우(SeungWoo Yang),안두현(Doo Hyun Ahn),이세준(Sejun Lee),신은정(Eunjung Shin),양현채(Hyeonchae Yang),한웅규(Ungkyu Han),강희종(Hee Jong Kang),이다은(Daeun Lee),진성만(Seongman Jin),송충한(ChoongHan Song),김해도 과학기술정책연구원 2020 정책연구 Vol.- No.-
In the era of digital transformation, the government is pushing for R&D system integration. The goals of this study are as follows. It presents theories and methodologies for innovation in data-driven R&D management. Second, we propose an innovation policy plan for data-driven R&D management. According to previous studies, data-driven R&D has recently become important due to evidence-based science and technology policy, science of science policy, the 4th industrial revolution, and big data. In 2013, the OECD announced Data-driven Innovation. Korea is linking and integrating R&D databases (e.g. NTIS ; National Science & Technology Information Service). The vision and framework of this study is as follows. The vision of this research is to build a ‘national science and technology data platform’ for data-driven R&D. The ‘national science and technology data platform’ is the most important to meet the needs of data users. Therefore, the framework of this study identifies the user needs of the R&D process. The R&D process consists of five fields (planning / selection / execution / performance evaluation / performance utilization / infrastructure). First, Planning Innovation for Data-driven R&D. R&D planning refers to an activity that prepares efficient means to achieve R&D goals. R&D planning methods is largely divided into Qualitative Method and Quantitative Method. The Qualitative Method is a method of utilizing the experience and opinion of experts. Quantitative Method is a method that utilizes statistics and trend analysis. Recent R&D Planning uses a mixture of Qualitative Method and Quantitative Method (e.g. technology roadmap, DelpHi, Technology Life Cycle, Cross Impact Analysis, etc.). The planning innovation policy task for data-driven R&D suggests building a platform for integrating and providing R&D planning information, constant monitoring, establishing a BERA (Big-data based Early-stage R&D Analysis) centers, and providing consulting services. Second, Selection and Implementation Innovation for Data-driven R&D. As a result of the survey, there is a problem with fairness in the selection and implementation of R&D. To solve the problem of selection and implementation, it is necessary to build a big data platform. The selection and implementation innovation policy task suggests step-by-step intelligence, the establishment of an R&D big data ecosystem, and the use of advanced technologies. Third, Performance Evaluation Innovation for Data-driven R&D. Performance Evaluation refers to an activity that evaluates R&D according to indicators. Performance evaluation lacks autonomy, strategy, expertise, and openness. Therefore, the Performance Evaluation Innovation policy tasked to suggest accumulation, linkage, and sharing with evaluation information, utilization of evaluation results, and establishment of a policy monitoring system. Fourth, Research Utilization Innovation for data-driven R&D. Research Utilization lacks user supported services (supplier-centered management), connectivity/openness, technical/policy basis, information protection standards, and compensation system. Therefore, the Research Utilization Innovation policy task was to propose user-oriented information provision, activation of DB-linked services, reinforcement of access to research data, and establishment of rules for using research information. Fifth, Data Infrastructure Innovation for Data-driven R&D. Data Infrastructure is the most important to collect data that can be utilized. Therefore, it should be reorganized centering on the users (organizations) used. In conclusion, this study proposes the establishment of a ‘national science and technology data platform’ for the development of data-driven R&D innovation policies. The ‘national science and technology data platform’ should be developed step by step (1st to 3rd steps).
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