Recommended Resources

A curated collection of valuable academic resources, databases, and research tools for political science and conflict research.

Academic Databases

JSTOR

Digital library of academic journals, books, and primary sources.

  • Extensive collection of peer-reviewed articles
  • Historical primary sources
  • Multi-disciplinary coverage
Visit JSTOR →

Web of Science

Citation indexing service for high-impact research papers.

  • Citation analysis tools
  • Journal impact factors
  • Research trends analysis
Visit Web of Science →

Google Scholar

Search engine for scholarly literature across disciplines.

  • Citation tracking
  • Author profiles
  • Related articles search
Visit Google Scholar →

Research Tools & Software

Science Calculators

Comprehensive collection of scientific calculators and tools. Check out our Heat Index Calculator, Voltage Drop Calculator, and Work Calculator.

  • Statistical analysis tools
  • Data visualization calculators
  • Research methodology resources
Access Science Tools →

Specialized Political Science Resources

ICPSR

Inter-university Consortium for Political and Social Research data archive.

  • Political science datasets
  • Social science data
  • Research training materials
Visit ICPSR →

Peace Research Institute Oslo

Leading research institution on peace and conflict.

  • Conflict databases
  • Research publications
  • Policy briefs and reports
Visit PRIO →

Uppsala Conflict Data Program

Comprehensive conflict data collection program.

  • Conflict datasets
  • Interactive conflict maps
  • Research methodology guides
Visit UCDP →

Data Analysis Tools

R Project

Statistical computing and graphics software.

  • Advanced statistical analysis
  • Data visualization
  • Machine learning capabilities
Visit R Project →

STATA

Professional software for statistical analysis.

  • Data management tools
  • Statistical analysis
  • Publication-quality graphics
Visit STATA →

Python for Data Science

Programming language and tools for data analysis.

  • Data processing libraries
  • Scientific computing tools
  • Machine learning frameworks
Learn Python →