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Research Center Big Data Social Issues

HOME About The Institution of Information and Culture Research Center Research Center Big Data Social Issues

 

 

KU BDSI Director of Center Kim Sung-tae 

 

Hello, I am Professor Kim Sung-Tae, head of the Big Data Social Issues Research Center and a faculty member of the School of Media and Communication at Korea University. Our research center, which began in 2012, leads the field in big data analysis and application research, aiming to address societal issues.
 
Over the years, we have been exploring new approaches to solving social problems by integrating AI technologies into big data analysis. Our center conducts research to tackle various social issues, including socioeconomic inequality, support for vulnerable populations, environmental concerns, and public safety. Recently, we have also actively addressed problems in the media and communication sector using AI technologies. Our research includes detecting fake news, identifying hate speech, and mitigating information inequality through AI.
 
As the head of the center, I identify and develop research topics in big data and AI that can contribute to solving social problems, and I oversee the planning and management of research projects. Furthermore, I establish collaborative networks with domestic and international research institutions, government agencies, and companies to promote joint research. We share our research outcomes with policymakers, academia, and civil society to contribute to resolving social issues. Additionally, I am committed to running educational programs to enhance the expertise of our researchers and improving our research environment.
 
Our center strives to contribute to solving social problems through big data analysis and AI technology. As the head of the center, I will continue to make relentless efforts for the advancement of our center and its contribution to society. Thank you.
 
Sincerely,
Sung-Tae Kim
Professor, School of Media and Communication, Korea University

 

Vision and Goals of KU BDSI

 

The importance of big data, which allows rapid analysis of diverse and large-scale structured and unstructured data to discover new value, is steadily increasing. Big data is also a core element of the Fourth Industrial Revolution. Established in May 2015 under the Korea University The Institution of Information and Culture <Big Data Social Issues Research Center, KURCBDSI>, our center aims to identify the causes of various issues and problems in Korean society through the approach of big data analysis. 

 

Our center conducts meaningful proposals for solutions within the scope of three main analytical areas: media, social, and policy, comparing diverse research topics related to social problems. We ultimately aim to integrate the analysis results. To optimize our research content, we have established a flexible and adaptable system, including the formation of an external research advisory board. Additionally, we collaborate with external big data analysis expert institutions through Memorandums of Understanding (MOUs) to conduct research in cooperation with industry and academia, focusing on data collection and analysis.

 

KU RCBDSI's Analytical Approach Framework

In order to uncover social issues through big data analysis and explore new issues, our research center utilizes the big data analysis solution STAR (Social Text Analysis Research) to quantitatively analyze structured and unstructured data. Simultaneously, we operate a specialized Text Analysis Team (TAT) to conduct qualitative analysis. By integrating the results of comprehensive big data analysis, we further enhance the expertise of our findings through processes like expert consultations related to social problems. This additional step adds depth and professionalism to our analytical results.
 

KU BDSI Analytical Approach System

 

In the process of developing various AI and big data analysis-based algorithms, we pursue the following analytical steps.

 

The stages are:

1. Data Acquisition: Identifying and collecting relevant data sources from various formats.
2. Data Preprocessing: Cleaning, transforming, and preparing the data for analysis.
3. Feature Engineering: Extracting relevant features from the data that can be used by AI models for prediction or classification.
4. Model Selection & Training: Choosing and training an appropriate AI model on the prepared data.
5. Model Evaluation: Assessing the performance of the trained model.
6. Model Deployment & Monitoring: Integrating and monitoring the trained model in a real-world environment.
7. Insights & Actionable Results: Analyzing the model's outputs to generate insights for decision-making.

 

 

To analyze diverse unstructured social data, the research center follows a multi-step process. Particularly, we pursue methodological triangulation that combines quantitative methods with qualitative data analysis.

 

키워드선정,데이터수집,데이터정제,형태소분석,데이터정량분석,테이터정성분석,전문가자문,결과도출

 

To identify social problems and discover new issues through big data analysis, our research center utilizes the big data analysis solution STAR (Social Text Analysis Research) to quantitatively analyze both structured and unstructured data. Simultaneously, we operate the specialized Text Analysis Team (TAT) for qualitative analysis. Based on the integrated big data analysis results, we further enhance the expertise of our findings by conducting an additional meaning-making process with the consultation of experts related to social issues.

 


KU RCBDSI's Analytical Strategy

 

The Research Center for Big Data Social Issues has conducted big data analysis on social problems related to institutions such as the Green Technology Center, the Constitutional Court, and the Korea Land and Housing Corporation, deriving forward-looking issues. Our goal is to utilize big data to propose solutions for various social problems in South Korea. We have established the following analytical strategies:

 

Analytical Strategy 1: Comprehensive and Timely Analysis of Societal Challenge

 

- We analyze vast amounts of structured and unstructured data on major issues using simultaneous and transparent methods.

- By analyzing large-scale data related to significant issues, we can provide relatively fast and objective insights into changes over time or specific periods. This allows for comparative analysis of the past and present characteristics within the situational context (making past data relevant to the present), enabling us to identify interconnections and key trends among issues over continuous periods.

 

Analytical Strategy 2: Enhancing Public Sector Application through Social Data Analysis

 

- Big data provides real-time access to the genuine messages of the ultimate beneficiaries of policies, the citizens. Through social text analysis on platforms such as Twitter, online communities, blogs, and portals, we comprehend public perceptions and diagnose societal issues. This approach allows us to establish a forward-looking and practical framework for addressing issues.

- Through social text analysis, we gain insights into public demands related to major issues, paving the way for policy directions that align with these demands.

 

Key Research Outputs of KU RCBDSI
 

- Datalogy: Data Humanities for Understanding the AI Metaverse Era
- Development of Consumer Purchase Journey Analysis Algorithm for Brand Marketing (대홍기획)
- Development of Systems and Algorithms for Identifying Major Social Conflict Issues in South Korea (대통합위원회)
- Big Data Analysis of Climate Disasters and Major Media Reports** (녹색기술원)
- Proposal for Big Data Analysis System for Predicting Apartment Prices
- Development of Big Data Analysis Algorithms for Public Complaints** (광주시, etc.)
- Proposal for News Big Data Analysis System (BIGKinds)** (한국언론진흥재단)

- Over 20 Other Research Projects Conducted
 

EIS LAB (Emotional Intelligence & Strategy) 
 

The EIS Emotional Intelligence Strategy Lab aims to explore the profound impact of human emotional intelligence (EI) on individual and organizational performance, well-being, and social influence, with the goal of driving practical changes based on these insights.

 

Key Research Areas and Analytical Methods:


1. Emotional Intelligence Measurement and Development:

 

Role of the EIS Lab:

The EIS Emotional Intelligence Strategy Lab aims to contribute to creating a human-centered future society. Through continuous research and innovation, we strive to lead advancements in the field of emotional intelligence and become a research institute that positively impacts society.
 

  • - Analytical Methods: Utilizing various methods such as EEG, fMRI, surveys, behavioral experiments, and psychological assessments to objectively and comprehensively measure emotional intelligence.
     
  • - Development: Designing personalized emotional intelligence development programs based on measurement results and validating the effectiveness of these programs. In particular, establishing a system development model that leverages AI technology to analyze individuals' emotional states in real time and provide tailored feedback.
     

  • 2. Emotional Intelligence and Leadership:

    • - Analytical Methods: Analyzing the relationship between emotional intelligence and leadership effectiveness using leadership type analysis, 360-degree multi-rater assessments, and emotional intelligence measurement tools.
       
    • - Model Development: Developing an emotional intelligence-based leadership model based on research findings to enhance leaders' emotional intelligence capabilities.
       

  • 3. Emotional Intelligence and Organizational Culture:

    • - Analytical Methods: Analyzing the impact of emotional intelligence on organizational culture through organizational culture surveys, interviews, and text mining. Particularly, using big data analysis to identify correlations between emotional intelligence levels within the organization and organizational performance, and proposing strategies for improving organizational culture.
       

  • 4. Emotional Intelligence and Decision-Making:

    • - Analytical Methods: Analyzing the influence of emotional intelligence on individual and organizational decision-making processes through experimental research, simulations, and brain imaging.
       
    • - Strategy Development: Developing effective decision-making strategies utilizing emotional intelligence based on research findings, and supporting the enhancement of organizational decision-making capabilities.
       

  • 5. Emotional Intelligence and Negotiation:

    • - Analytical Methods: Analyzing the impact of emotional intelligence on negotiation outcomes using negotiation simulations, outcome analyses, and emotional intelligence measurement tools.
       
    • - Strategy Development: Creating negotiation strategies based on emotional intelligence research results and providing training programs to enhance negotiation skills.

  •  

  • 6. Emotional Intelligence and AI:

    • - Analytical Methods: Exploring the emotional intelligence competencies required in the AI era through AI algorithm analysis, human-AI interaction experiments, and surveys, and seeking effective collaboration methods between AI and humans.
    • - Academic Research: Identifying the latest trends in emotional intelligence research and sharing research findings through academic papers, seminars, and other platforms.
    • - Consulting: Providing diagnostic and tailored consulting services for individuals and organizations regarding their emotional intelligence levels.
    • - Education: Developing and implementing various educational programs aimed at enhancing emotional intelligence.
    • - Industry-Academia Collaboration: Partnering with businesses, government agencies, and other entities to apply emotional intelligence research findings to real-world settings and contribute to the creation of social value.
       

External Collaborative Partners of KU RCBDSI (MOU)

 

(주)Data Marketing Korea (빅데이터 마케팅 분석)

(주)e2on (빅데이터 전문 분석업체)

(주)롯데 엑셀러레이터 Lotte Accelerator (IT 스타트업 지원)

(주)발크(BALC) (디지털마케팅 Agency)

(주)DYB 최선어학원 AI 교육플랫폼

(미)Auburn 대학교 SOLIU 연구센터

(주)유니크미디어(영상콘텐츠 제작)

(주)한국콘텐츠컨설팅진흥원


 

Location and Contact Information of KU RCBDSI

 

Address: 303, Korea University Media Hall, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea

Phone: +82 2-3290-1637

Contact: Park So-Min (Email: ssom@korea.ac.kr)