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AISTI Lab.

Mission statement

AISTI (Artificial Intelligence for Socio-technological Innovation) Lab aims to


Keeheon

Keeheon Lee

Professor

Creative Technology Management

Underwood International College

Yonsei University

South Korea


OUR TEAM

Meet the team - our lab members:


Haksong

Hak Song Lim

Data science, Social entrepreneurship

Dongkyu

Dongkyu Lee

Data science, NLP

Saeyan

Saeyan Park

Data science, Cosmetics

Yunhae

Yunhae Joo

Data science, Social innovation

Jaekeun

Jaekeun Lee

Data science, Tech mining

Jeongwon

Jeongwon Jo

Data science, Digital entrepreneurship, Techonlogy forecasting

Jaeyi

Jaeyi Joo

Cultural data science

Jinwoo

Jinwoo Han

Data science, Music industry

Sooan

Sooan Han

Data science, Smart cities

PROJECTS

We are focusing on the issues in interaction between technology and society.

Technology-Society Interaction Data Science: Generative Adversarial Secenario Model for Strategic Planning

funded by NRF

A Study on Knowledge Data Representation and Analysis for Big Data-driven Future Studies

funded by Yonsei University

Big Data Analysis for The Historical and Social Origin of Territorial dispute

funded by Northeast Asian History Foundation

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PUBLICATION

Scientific communications


  • Ensemble analysis of topical journal ranking in bioinformatics

  • Journal of the Association for Information Science and Technology Volume 68, Issue 6, June 2017, Pages 1564–1583
  • M Song, SY Kim, K Lee
  • Comparative evaluation of bibliometric content networks by tomographic content analysis: An application to Parkinson's disease

  • Journal of the Association for Information Science and Technology Volume 68, Issue 5, May 2017, Pages 1295–1307
  • K Lee , SY Kim, EHJ Kim, M Song
  • Subject–method topic network analysis in communication studies

  • Scientometrics 17 (2), 1
  • K Lee,H Jung, M Song
  • Examining Characteristics of Traditional and Twitter Citation

  • Frontiers in Research Metrics and Analytics 17 (2), 1
  • K Lee,H Jung, M Song
  • Pricing and Timing Strategies for New Product Using Agent-Based Simulation of Behavioural Consumers

  • Journal of Artificial Societies and Social Simulation 17 (2), 1
  • K Lee , H Lee, CO Kim
  • An Agent-Based Competitive Product Diffusion Model for the Estimation and Sensitivity Analysis of Social Network Structure and Purchase Time Distribution

  • Journal of Artificial Societies and Social Simulation 16 (1), 3
  • K Lee , S Kim, CO Kim, T Park
  • Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process

  • Expert Systems with Applications 38 (6), 7270-7276
  • S Kim, K Lee, JK Cho, CO Kim
Contact Us

Address

Swing by for a cup of coffee, or whatever

#407 Veritas C, 85 Songdogwahak-ro, Yeonsu-gu, Incheon, South Korea 21983

  +82 32 749 3610

  keeheon@yonsei.ac.kr

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