Climate-KG Data Analysis Dashboard

IPCC AR6 Author Demographics and Wikibase Inventory

Overview

This site presents data analysis and visualizations for the Climate-KG Wikibase project, focusing on IPCC AR6 assessment reports.

Available Analyses

AR6 Authors Distribution Analysis

Comprehensive demographic analysis of IPCC AR6 authors examining:

  • Global North vs Global South distribution - Regional representation across reports
  • Gender distribution - Gender demographics of author teams
  • Intersectional analysis - Combined gender and regional patterns
  • Chapter-level variations - Demographic distribution across different chapters

Key visualizations include: - Regional distribution maps and charts - Gender distribution by region and chapter - Country-level author contributions - Report-specific demographic breakdowns

Wikibase Inventory Dashboard

Comprehensive inventory and quality analysis of the Climate-KG Wikibase instance:

  • Item counts and distribution
  • Property usage statistics
  • Data quality metrics
  • MediaWiki page inventory

About Climate-KG

Climate-KG is a knowledge graph project focused on climate science literature, particularly IPCC assessment reports. The project uses Wikibase to structure and connect climate science data, making it accessible for research and analysis.

Data Sources

  • Authors: IPCC AR6 author metadata (demographics, affiliations, contributions)
  • Bibliography: Climate science literature references
  • Glossary: Climate science terminology from IPCC reports
  • Acronyms: Standard climate science abbreviations

Technology Stack

  • Wikibase: Knowledge graph database
  • Python: Data processing and analysis
  • Plotly: Interactive visualizations
  • Quarto: Documentation and reporting

Getting Started

All code used to generate these analyses is available in the notebooks. Click on any analysis above to view the interactive reports with collapsible code sections.

Note: Code sections are collapsed by default. Click “Show code” to expand and view the Python code used for each analysis.