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Analytics & Modeling
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Statistical models and methods
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Machine learning, deep learning, and AI
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Data mining and analysis
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Spatial analysis
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Bioinformatics and biostatistics
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Econometrics and financial modeling
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Development & Implementation
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Efficient programming
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Package development
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Web applications (Shiny, dashboards)
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Databases and data management
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R in production environments
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Building tools for reproducible research
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Development best practices and workflows
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Cross-language tooling
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Domains
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Data visualization
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Biomedical and health informatics
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Economics, finance, and insurance
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Environmental sciences
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Social sciences
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Education
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Applications & Practice
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Teaching R / R in teaching
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Case studies and applications
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Analysis best practices and workflows
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Emerging trends in R
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Interdisciplinary applications
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Community
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Building and sustaining communities
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Outreach
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Mentorship
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Other
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Other
Submissions in other R-related areas are also welcome. We particularly encourage presentations that highlight innovative applications, promote inclusive practices, or demonstrate R’s impact across different fields.
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