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Discover how The Map of Open Source Science (MOSS) provides a comprehensive data-driven view of the Julia programming ecosystem's impact on research and open-source development in this 11-minute conference talk. Learn about MOSS's large-scale data integration approach that unifies disparate data streams from GitHub repositories, scholarly APIs like OpenAlex and CrossRef, and academic publications to create a holistic knowledge graph of Julia's scientific computing community. Explore the system architecture that captures dynamic relationships between code repositories, researchers, and institutions, revealing how contributors, packages, and academic citations interconnect across the ecosystem. Examine practical demonstrations showing how MOSS automatically links Julia repositories with implementing papers, identifies institutional affiliations of contributors, quantifies citation impact of key packages across scientific domains, and enables modular impact algorithms. Understand how this knowledge graph serves both newcomers and experienced community members by visualizing code contributions, scholarly publications, and institutional relationships to foster data-driven community building. Gain insights into future directions including ORCID integration for contributor disambiguation, automatic detection of emerging topics in Julia subdomains, and expansion to include grants and patents in the research lifecycle mapping.
