Centers
01
About centers
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The Digital Innovation Research Center (DX Research Center) at Korea University was established to conduct national research and development in the field of digital innovation, research on digital policy, and commercialize digital technologies with the goal of solving national and social problems through the convergence of humanities and science and technology.
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The core research capabilities are leading (1) R&D and (2) policy research in the field of digital convergence, including national science and technology research planning, national data and digital transformation policy research, commercialization of digital innovation technologies, and digital competency training (for public officials, corporate employees, K-12, and university students).
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His main research areas include regional innovation in regional development and tourism, industrial digital transformation (DX), mydata, artificial intelligence big data, blockchain, metaverse, fintech, and ODA, and he has established a network of collaborations with institutions and companies within and outside of Korea University.
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Research areas
Develop data-driven services and business models
| Artificial Intelligence (AI) | MyData | Big Data/Blockchain |
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IITP XOps Platform R&D IITP Auto MLOps R&D IITP DataOps R&D NIA AI Develop and validate your training data model |
LG CNS Healthcare Platform KB Property & Casualty Insurance My Data Strategy Consulting HancomWeed Demonstrating MyData: Service Models K-Data Healthcare-Finance MyData Platform Pilot and more |
Hana Bank Blockchain-based student ID application system KT Big data analytics and business model development KTOA Developing revenue models based on telecom data |
Build MOU alliances and networking to commercialize your technology
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Gangwon Provincial Office 'Smart Tourism Technology' R&D and Technology Commercialization Cooperation 2021
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Maekyung Biz - Korea Data Exchange(KDX) “Industrial Digital Transformation (DX) Certification Project” Cooperation 2021
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Vibecompany (Formerly, Daumsoft) Cooperation in developing new business models in big data and artificial intelligence 2020
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Hana BankCooperation to build 'Blockchain-based KU student ID application system' 2019
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KTBig Data Commercialization and Collaboration: Developing a Festival Evaluation Model 2018
MyData • Digital Transformation (DX) Policy Research and Consulting
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Korea Internet & Security Agency (KISA)'Study on how to expand and activate transmission range: Personal Information Protection Commission' 2024
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National Institute of Continuing Education'A Study on Standardization and Linkage of Lifelong Learning History Metadata: Centered on MyData' 2023
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Korea Industrial Intelligence Association (KOIIA) 'Discovering Industrial Digital Transformation Use Cases' 2023
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Korea Association for Industrial Intelligence (KOIIA)'Digital Transformation Case Study' 2022
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Korea Association for Industrial Intelligence (KOIIA) 'Discovering Industrial Digital Transformation Use Cases' 2022
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Korea Association for Industrial Intelligence (KOIIA)'Study on the Status of Digital Transformation Policies in Korea and Ways to Improve Them' 2022
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Korea Association for Industrial Intelligence (KOIIA)'Industry DX Use Case Survey Item Development and Discovery Research' 2021
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Korea Data Industry Promotion Agency (K-Data)'A Policy Study for Establishing an Integrated Personal Information Management System' 2020
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Korean Cultural Information Center'Study on how to revitalize personal information in the cultural and entertainment sector related to the revision of the Data 3 Act: My Data Centered' 2020
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Korea Data Industry Promotion Agency (K-Data) MyData Ecosystem Mid- to Long-term Strategy Establishment Study' 2019
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Finance Committee 'Implementation plan for information protection and security technology for the establishment of my data business in the financial sector' 2018
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Korea Data Industry Promotion Agency (K-Data) Development of a pilot service utilizing personal information (MyData) 'Medical-Financial Convergence' 2018: The first case in Korea
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ICT-enabled Official Development Assistance (ODA) projects
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2023 ~ 2026 Algeria 'Establishment of a Cyber Security Center (CERT), Dispatch of Operational Experts, and Technical Support' : Co-Participants
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2023 ~ 2026 Ghana 'Establishment of PMC for the University of Ghana Research and ICT Innovation Center (GK-IMPACT) Project' : Joint Participants
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2023 ~ 2026 Côte d'Ivoire 'ICT Higher Education Capacity Building and Digital Education Environment Improvement at Felix Ouébouani University' : Lead Organization
Open Platform Education Business
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Government • Big data and AI talks and training programs for local government officials
- Big data capacity building training for public officials in Inje-gun, Gangwon-do 2024
- Big data capacity building training for public officials in Inje-gun, Gangwon-do 2023
- Big data capacity building training for public officials in Inje-gun, Gangwon-do 2021
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Design and implement K-12 career exploration education programs
- Planning and conducting a high school-community partnership career education program for Gangbuk-gu Office, Seoul, Korea 2024
- Planning and conducting a high school-community partnership career education program for Gangbuk-gu Office, Seoul, Korea 2023
- Planning and conducting a high school-community partnership career education program for Gangbuk-gu Office, Seoul, Korea 2022
- Planning and conducting a high school-community partnership career education program for Gangbuk-gu Office, Seoul, Korea 2021
03
Research
National R&D Challenge Performance
| Ministry of Science and ICT Planning and Evaluation(IITP) | 2024~2027 Develop and demonstrate XOps-based AI policy simulation platform technology to address community issues of depopulation |
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| Korea Research Foundation | Developing Blockchain Core Technologies to Ensure Data Sovereignty 2021-2024: Participatory Research |
| Ministry of Science and ICT Planning and Evaluation(IITP) | 2022-2025 Develop DataOps Framework technologies to enable right-time, right-place utilization of high-quality datasets |
| MSIT's Institute for Information Technology Planning and Evaluation (IITP) | 2022-2025 Develop automated MLOps platform technology that connects the entire machine learning development lifecycle and makes it easy to use |
| Ministry of Science and ICT Korea Advanced Institute for Intelligence and Information Society(NIA) | 2022~2023 Development of AI learning model for domestic travel logs: recommendation model, prediction model |
| Gyeonggi City Council | 2023 Gwangju City Culture and Art Valley Strategy Consulting Service: SNS Big Data-based City Brand Analysis |
| National Balanced Development Council | Study on Strategies for Linking the 2022 Sustainable Regional Balanced New Deal and National Balanced Development |
| Korea Agency for Science and Technology Planning and Evaluation | 2022 Research University Emerging Issues Policy Planning: Participatory Research |
| Korea Regional Information Development Agency | 2021 Study on how to implement digital local councils in the era of decentralization 2.0 |
| Korea Institute of Public Administration | 2021 Case Study on Empowering Local Government Data Autonomy |
| Gangwon Tourism Foundation | Published monthly 'Gangwon Tourism Trends' report utilizing big data 2021~2024 |
| Jongno-gu Office, Seoul | 2021 Planning and Design Study to Build a Smart Borough in Jongno-gu, Seoul |
| MSIT Korea Data Industry Promotion Agency(KData) | 2020 Policy Research for the Establishment of an Integrated Personal Information (MyData) Management System for Individualized Personalization |
| Korea Small and Medium Business Technology Information Agency | 2020 AI-powered web analytics tool development |
| Ministry of Science and ICT Korea Advanced Institute for Intelligence and Information Society(NIA) | 2018-2020 Building a financial big data platform and center |
| Yeongdeungpo-gu, Seoul | 2018 Policy Research on Establishing a CPTED Platform for Women's Safety in Yeongdeungpo, Seoul: Winner of the Minister of Public Administration and Safety Award of Yeongdeungpo-gu Office |
Industry-academia collaborations
| SOC Soft Co., Ltd. | 2023 Yangyang County Tourism/Festival Results Analysis |
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| Crafas Solutions Co., Ltd. | Consulting on guidance/procedures/templates for the IT Security Regulation 2022 |
| RomanSoft Co., Ltd. | 2022 Big Data Platform and Data Sovereignty Policy Study |
| Cube&Sys Co., Ltd.) | 2022 Tourism Index Development Study |
| G9 International | 2022 Marketing Strategy and Roadmap Study |
| Digicap Co., Ltd. | 2021 Media User-Centric MyData Platform and UI/UX Development |
| LG CNS Co., Ltd. | 2020 Healthcare Platform UI UX and Personal Data Governance Establishment (MyData) |
| Korea Industrial Intelligence Association | Developing the 2020 Smart Factory Standards Map |
| SOC Soft Co., Ltd. | 2020 Population forecasting analysis and model research for Cheonan City using big data |
| Hancom Word Co., Ltd. | 2020 Big Data Leveraging MyData Service Model Study: Employee Wellness Services |
| BTRUST Co., Ltd. | 2020 Study on the Implementation of a Big Data-based Job Inspection Monitoring System for Industrial Leakage Prevention |
| Samsung Electronics Co., Ltd. | Discovering Categories by Usage Behavior for the 2020 APS Prototype: Participatory Research on Social Media Big Data Analytics |
| KITONE Co., Ltd. | 2020 R&D of big data-based analytics system |
| KEB Hana Bank Co., Ltd. | 2019 Blockchain-based KU Student ID Application System |
| RomanSoft Co., Ltd. | 2019 ICT-based big data platform business model development |
| Doctor Code Co., Ltd. | 2019 Regional Festival Evaluation Model and Communication Big Data Provision |
| ATA Co., Ltd. | Economic Impact Analysis of 2019 Cluster Drone ICT Convergence Performance to Revitalize Local Tourism |
| D&Shine Co., Ltd. | 2019 Jeju Island Big Data Analytics Research |
| KTOA | 2019 Telecom Big Data-based Business Platform Model Development: Convergence of Telecom, Healthcare, and Finance |
| KT Co., Ltd. | 2018 Big Data Analytics and Business Model Development |
Local government policy consulting track record
Conducted over 100 consulting projects in Jongno-gu, Seoul, Anseong-si, Gyeonggi-do, Gyeongju-si, Gyeongbuk, Hapcheon-gun, Gyeongnam, Yeosu-si, Jeolla-do, Suncheon-si, Jeolla-do, etc.
| Sokcho, Gangwon-do | Analyzing 'Sokchosi' summer festival using big data: Psy Immerse Show, Waterbomb (2024) |
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| Gumi City, Gyeongsangbuk-do | Analyzing 'Gumi City's' Sweet Night Market Festival Using Big Data: The Economic Impact of Traditional Market Nighttime (2024) |
| Sancheong-gun, Gyeongsangnam-do | Analyzing the 'Sancheong-gun' summer night festival using big data (2024) |
| Gyeongsangbuk-do Antelope County | Analyzing the 'nutrient group' Sanna Festival using big data (2024) |
| Sokcho, Gangwon-do | Analyzing the 'Sokcho City' Yeongrangho Cherry Blossom Festival Using Big Data (2024) |
| Sangju, Gyeongsangbuk-do | Big Data Utilization for Gopgam Festival Analysis Research Service: Visiting Population (2024) |
| Nowon-gu, Seoul | Analyzing urban leisure population in Nowon-gu using big data: feasibility of locating leisure facilities (2023) |
| Chuncheon, Gangwon-do | Analyzing Chuncheon City's 'Resident Population' Using Big Data: Analysis by Area (2023) |
| Yangyang-gun, Gangwon-do | Analysis of a tourism festival utilizing the 'Smart Tourism City' platform in Yangyang-gun: Korea Tourism Organization Competition Project (2023) |
| Gumi City, Gyeongsangbuk-do | Analyzing the Gumi Ramen Festival using Big Data: Effect of changing the festival venue and duration (2023) |
| Paju City, Gyeonggi-do | Analyzing the DMZ OPEN Festival in Paju City using Big Data (2023) |
| Gapyeong-gun, Gyeonggi-do | Analysis of the 'Zara Island Autumn Flower Festival' in Gapyeong-gun using big data: nighttime economic effect analysis (2023) |
| Gyeongju, Gyeongsangbuk-do | Analyzing the 'Silla Cultural Festival' in Gyeongju: Density of major routes using big data (2023) |
| Anyang-si, Gyeonggi-do | Analyzing the Anyang Dance Festival using Big Data (2023) |
| Yeongdeungpo-gu, Seoul | Analyzing the Yeouido Spring Flower Festival in Yeongdeungpo using big data(2023) |
| Cheongyang-gun, Chungcheongbuk-do | Big Data Analysis and Consulting Service for 'Cheongyang Chili Goji' Cultural Festival in Cheongyang County : Gourmet Culture Festival (2023) |
| Gangjin-gun, Jeollanam-do | Analyzing the Jangheung Water Festival with Big Data (2023) |
| Gapyeong-gun, Gyeonggi-do | Analyzing the 'Zara Island Spring Flower Festival' in Gapyeong-gun using Big Data: Analysis of Foreigner Movement Patterns (2023) |
| Gyeongsangbuk-do, Yeongyang-gun | Leveraging Big Data to Analyze the Nutrient Group 'Mountain Vegetable Festival' (2023) |
| Jinan-gun, Jeollabuk-do | Big Data Analysis Report of Jinan County: Geoeco-tour, tourist bus travel route analysis (2023) |
| Namwon, Jeollabuk-do | Data analysis of consumption trends before and after COVID-19 in Namwon City (2023) |
| Gangbuk-gu, Seoul | Big Data for Tourism in Gangbuk-gu: Festival Analysis (2023) |
| Jeong-eup, Jeollabuk-do | Big data-enabled tourism-focused analysis of Jeongeup City: Urban regeneration analysis (2022) |
| Jeongseon-gun, Gangwon-do | Using Big Data for Tourism in Jeongseon-gun: Analyzing Potential Visitors to Gariwangsan National Garden (2022) |
| Hwaseong-gun, Gangwon-do | Big data-enabled tourism-focused analysis of Hwaseong-gun (2022) |
| Pyeongchang-gun, Gangwon-do | Big Data for Tourism in Pyeongchang County: Analyzing Visitor Attributes and Movement Patterns at KTX Station (2022) |
| Jecheon-si, Chungcheongbuk-do | Analysis of 'Jecheon International Music Festival' using big data: Comparative analysis of effects by venue (2022) |
| Wando-gun, Jeollanam-do | Big data-enabled tourism analysis of Wando County: a marine resort destination (2022) |
| Gangneung, Gangwon-do | Gangneung City's tourism-centered analysis using big data (2022) |
| Nowon-gu, Seoul | Analyzing the Urban Leisure Population in Nowon-gu Using Big Data: Analyzing the Economic Impact of Local Festivals (2022) |
| Donghae, Gangwon-do | Analyzing tourism in Donghae using big data (2022) |
| Cheorwon-gun, Gangwon-do | Big data-oriented analysis of tourism in Cheorwon-gun: Hantan River UNESCO Geopark, etc. (2022) |
| Yangyang-gun, Gangwon-do | Leveraging Big Data for Tourism in Yangyang County: Surfing Population Model-Based Analysis (2022) |
| Gosan-gun, Chungcheongbuk-do | Leveraging big data to analyze tourism in Gosan-gun: leveraging the tourist population(2022) |
| Jinju, Gyeongsangnam-do | Analyzing Jinju City Festivals Using Big Data: Identifying Nighttime Economic Effects and Safety Measures for the Lantern Festival (2022) |
| Geumsan-gun, Chungcheongbuk-do | Analyzing the Geumsan Ginseng Festival using Big Data (2022) |
| Yeongju, Gyeongsangbuk-do | Analyzing the Punggi Ginseng Expo in Yeongju City: Economic Impact of Big Data (2022) |
| Gyeongsangbuk-do, Yeongyang-gun | Utilizing Big Data for the Nutrient Group Wildflower Festival (2022) |
| Wonju, Gangwon-do | Analyzing Wonju tourism using big data: Salt Mountain Valley, Dancing Carnival Festival, etc. (2022) |
| Sokcho, Gangwon-do | Leveraging Big Data for Tourism in Sokcho City: Marine Tourism (2022) |
| Shingan-gun, Jeollanam-do | Tourism-oriented analysis of Shinan County using big data: Purple Island, etc. (2022) |
| Muanan, Jeollanam-do | Analysis of major commercial districts in Muanan using big data: Youth job economic policy (2022) |
| Jeong-eup, Jeollabuk-do | Big data-enabled analysis of golf courses in Jeongeup City: : Comparative analysis of corona impact (2022) |
| Chuncheon, Gangwon-do | Analyzing major commercial districts in Chuncheon City using big data: university area, industrial complex, old city center, tourist area, and station area (2022) |
| Hongcheon-gun, Gangwon-do | Hongcheon-gun Tourism Analysis Using Big Data (2022) |
| Uljin-gun, Gyeongsangbuk-do | Utilizing Big Data to Analyze Uljin County's Tourism and Living Population: Analyzing the Impact of Hansoo (2022) |
| Nowon-gu, Seoul | Analysis of urban leisure population in Nowon-gu using big data: Comparative analysis of cultural population and welfare population (2022) |
| Jeollanam-do Provincial Government | Jeollanam-do big data analysis service: Guinong Village, Urban Regeneration Analysis (2021) |
| Chungju, Chungcheongbuk-do | Analyzing tourism in Chungju using big data (2021) |
| Hwacheon-gun, Gangwon-do | Analyzing Hwacheon County tourism using big data: Sancheon Fish Festival, Park Golf Course, etc. (2021) |
| Goseong-gun, Gangwon-do | Analyzing big data for tourism in Koryo-gun: Lavender festival, etc. (2021) |
| Cheorwon-gun, Gangwon-do | Analyzing tourism in Cheorwon-gun using big data (2021) |
| Yangyang-gun, Gangwon-do | Analyzing tourism in Yangyang County using big data (2021) |
| Pyeongchang-gun, Gangwon-do | Analyzing tourism in Pyeongchang County using big data (2021) |
| Nowon-gu, Seoul | Analyzing visitors to commercial areas in Nowon-gu using big data: Gyeongchunseon Forest Road, Bulam Mountain, Jungnangcheon, etc. (2021) |
| Gosan-gun, Chungcheongbuk-do | Analyzing tourism in Gosan-gun using big data (2021) |
| Jeong-eup, Jeollabuk-do | Analysis of Jeongeup City's Urban Renewal New Deal project using big data: Ssanghwacha Street, Jangbu Mountain, etc. (2021) |
| Iksan, Jeollabuk-do | Analyzing Iksan Tourism Using Big Data for the Year of Visiting Iksan (2020) |
| Donghae City, Gangwon-do | Analyzing tourists in Donghae using big data (2020) |
| Hwaseong-gun, Gangwon-do | Analyzing tourists in Hwaseong-gun using big data (2020) |
| Wonju, Gangwon-do | Analyzing the Wonju Festival with Big Data (2020) |
| Yeosu, Jeollanam-do | Analyzing tourism in Yeosu using big data (2020) |
| Inje-gun, Gangwon-do | Inje-gun KT Big Data Analysis: Analyzing the effects of national sports tournaments (soccer, baseball), analyzing national highway routes according to highway opening (2020) |
| Yeongwol-gun, Gangwon-do | Using Big Data to Analyze Major Camping Sites in Yeongwol County: 'Camping Population' Analysis (2020) |
| Chuncheon, Gangwon-do | Analyzing major commercial districts in Chuncheon City using big data (2020) |
| Jeongseon-gun, Gangwon-do | Analyzing tourists in Jeongseon-gun using big data: Gangwon Land Casino population analysis (2020) |
| Goseong-gun, Gangwon-do | Leveraging big data to analyze visitors to Goseong-gun Festival (2020) |
| Ganghwa-gun, Incheon | Leverage big data to analyze military visitors (2020) |
| Gangneung-si, Gangwon-do | Gangneung City big data analysis and survey service: Living Tourism Population (2020) |
| Shingan-gun, Jeollanam-do | Analyzing visitors to Shinan County using big data (2020) |
| Gangneung-si, Gangwon-do | Analyzing visitors to Gangneung City using big data (2020) |
| Hapcheon-gun, Gyeongsangnam-do | Analyzing visitors to Hapcheon County using big data (2020) |
| Goseong-gun, Gyeongsangnam-do | Analyzing Tourism in Goheung County Using Big Data: Economic Impact of Dinosaur Expo (2020) |
| Jeju Provincial Office | Analyzing Jeju Island tourists using big data (2020) |
| Wando-gun, Jeollanam-do | Leveraging Big Data to Analyze Visitors to Wando County (2020) |
| Hampyeong-gun, Jeollanam-do | Hampyeong-gun tourism analysis utilizing big data: Butterfly Festival, etc. (2020) |
| Yangyang-gun, Gangwon-do | Tourism analysis of Yangyang County using big data (2020) |
| Jeong-eup, Jeollabuk-do | Utilizing Big Data to Analyze Consumption Patterns and Tourism in Jeongeup City (2020) |
| Gwangju Asian Cultural Center | Big data analytics to complement visitor counts at the National Asian Cultural Center (2020) |
| Jecheon-si, Chungcheongbuk-do | Tourism analysis of Jecheon City using big data (2020) |
| Ganghwa-gun, Incheon | Leveraging big data to empower military tourism: analyzing weekend day trips (2020) |
| Jindo-gun, Jeollanam-do | Leveraging big data to analyze Jindo-gun tourism (2020) |
| Mokpo, Jeollanam-do | Mokpo City Tourism Analysis Using Big Data (2020) |
| Yeosu, Jeollanam-do | Analyzing tourism in Yeosu using big data (2020) |
| Chungcheongbuk-do Provincial Government | Chungcheongbuk-do Festival Analysis: 11 Local Festivals of Foundation Organizations (2019) |
| Cheorwon-gun, Gangwon-do | Analyzing tourism statistics in Cheorwon-gun using big data (2019) |
| Gyeongsangnam-do Goryeong-gun | Analyzing tourism statistics for the elderly using big data (2019) |
| Yeongdeok-gun, Gyeongsangbuk-do | Building and analyzing big data of floating population in Yeongdeok County: Analysis of the effect of opening of Sangju-Yeongdeok Expressway (2019) |
| Yeosu, Jeollanam-do | Yeosu Big Data Tourism Statistics Consulting (2019) |
| Naju, Jeollanam-do | Naju City Floating Population Big Data Tourism Statistics Consulting (2019) |
| Wando-gun, Jeollanam-do | Analyzing tourism in Wando County using big data (2019) |
| Gimcheon City, Gyeongsangbuk-do | Utilizing Big Data to Analyze Tourism in Gimcheon City (2019) |
| Sejong City | Sejong City Festival statistical analysis using big data (2019) |
| Hwaseong-gun, Gangwon-do | Analyzing tourists at the Hwaseong-gun Festival using big data (2019) |
| Jinju, Gyeongsangnam-do | Utilizing big data to analyze statistics of Jinju City festivals: Lantern Festival, Gaecheon Festival, etc. (2019) |
| Suwon, Gyeonggi-do | Utilizing Big Data to Analyze Suwon City Festival Statistics (2019) |
| Suncheon City, Jeollanam-do | Korea Balanced Development Expo in Suncheon: National Garden (2019) |
| Bonghwa-gun, Gyeongsangbuk-do | Utilizing Big Data to Analyze Bonghwagun Festival Statistics (2019) |
| Hapcheon-gun, Gyeongsangnam-do | Utilizing Big Data to Analyze Statistics of Hapcheon County Festival (2019) |
| Damyang-gun, Jeollanam-do | Big data tourism statistics consulting for floating population in Damyang-gun (2019) |
| Jeollabuk-do Province | Jeollabuk-do Big Data Analytics Project (2019) |
| Gunsan, Jeollabuk-do | Big data-based analysis of tourists and festivals in Gunsan City: analysis of the ripple effect on the local economy (2018) |
| Gangjin-gun, Jeollanam-do | Analyzing tourism statistics in Gangjin-gun using big data (2018) |
| Cheongsong-gun, Gyeongsangbuk-do | Analysis of the 2018 Cheongsong County Tourism Statistics Survey Based on Big Data (2018) |
| Jongno-gu, Seoul | Utilizing Big Data to Analyze Jongno Tourism Statistics(2018) |
| Cheongsong-gun, Gyeongsangbuk-do | Big Data-based 2017 Cheongsong County Tourism Statistics Survey Analysis Report (2017) |
| Jongno-gu, Seoul | Using Big Data to Analyze Jongno Tourism Statistics: Bukchon Hanok Village Touristification Analysis (2017) |
04
Lead Professor
- Professor Young Hwan Lee
- Center
Digital Innovation Research Center
- Email
manians62@korea.ac.kr