MichaelChaoLi-cpu (Chao Li) · GitHub
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MichaelChaoLi-cpu/README.md

Li Chao portrait

Li Chao (Mike)

AI researcher for geoscience, sustainability, ESG, and human well-being
Visiting Assistant Professor, Kyushu University
Chief Data Scientist & Head of AI Research, aiESG Inc.

Website Google Scholar ORCID CV Email

30 peer-reviewed papers | 26 first-author papers | 28 manuscripts under review or in preparation | 8 registered or filed patent cases


Current Focus

I build large-scale research data systems and AI models that connect global news, remote sensing, climate projections, ESG text, and well-being microdata.

Research direction What I am building
Climate and geoscience AI Scenario-aware temperature prediction, climate impact modeling, gridded environmental datasets
Human well-being Cross-survey harmonization, socio-environmental analysis, global microdata infrastructure
ESG and finance News-driven ESG signals, corporate social-risk scoring, event-level market response modeling
Research software Reproducible tools for spatial statistics, data harmonization, and AI-assisted empirical research

Research Infrastructure

Stack Scale and use
Global News Corpus Approximately 200 million multilingual news articles with automated daily ingestion
Well-being Micro-Database Gallup World Poll, Global Flourishing Study, DHS, and related survey alignment
Geospatial Data Stack MODIS, CMIP6, population, land cover, air pollution, and greenness grids
AI Agent Workflows Literature screening, variable alignment, robustness checking, and research automation
Compute PostgreSQL data server, Google Cloud Platform, and shared GPU resources for large-model experiments

Open Source Software

Project Focus Links
GWPR.light The first R package for geographically weighted panel regression, published on CRAN and used across environmental and well-being studies. CRAN
HappyToGo A Python web tool for generating manuscript submission documents, including cover letters, title pages, highlights, CRediT statements, and declarations. GitHub
Zhixiang A Flask and JavaScript schedule assistant with natural-language and voice task capture, timeline planning, and Gemini AI support. GitHub
install.packages("GWPR.light")

Selected Publications

Year Paper Journal
2026 Environmental Disclosure Dimensions and Japanese Firm Valuation: Volume, Sentiment, and Market Heterogeneity Business Strategy and the Environment
2026 Corporate Governance Disclosure Volume, Sentiment, and Topic Tone: Heterogeneous Associations with Firm Valuation Strategic Business Research
2026 Demographic Decline and Resurgence in the Aging Century Humanities and Social Sciences Communications
2026 Beyond the heat: Nonlinear and uneven climate change impacts on mental health Sustainable Cities and Society
2026 A Link between ESG Topic Emphases in Security Report and Stock Price Journal of Cleaner Production

More details are available on my personal website and Google Scholar.

Quick Facts

Item Detail
Location Fukuoka, Japan
Pronouns He / him
Academic role Visiting Assistant Professor, Kyushu University
Industry role Chief Data Scientist & Head of AI Research, aiESG Inc.
Collaboration Academic research, open-source software, and research infrastructure

Contact

Pinned Loading

  1. GWPR.light GWPR.light Public

    A Package for Geographically Weighted Panel Regression (light version)

    R 10 2

  2. HappyToGo HappyToGo Public

    The submission process is always tedious, so we created a template to generate the necessary documents for submission.

    Python 1

  3. Zhixiang Zhixiang Public

    这个项目也叫时间管理大师。为了方便大家管理自己的日程,工作安排等。

    JavaScript 3