useR! 2026

Scientific Programme

Analytics & Modeling

• Statistical models and methods

• Machine learning, deep learning, and AI

• Data mining and analysis

• Bioinformatics and biostatistics

• Econometrics and financial modeling

Development & Implementation

• Web applications (Shiny, dashboards)

• R in production environments

• Efficient programming

• Building tools for reproducible research

• Package development

• Databases and data management

• Positron IDE in practice

Domains

• Data visualization

• Bioinformatics and Computational Biology

• Environmental sciences

• Social sciences

• Education

• Epidemiology

• Economics, finance, and insurance

Community

• Outreach

• Building resilient communities

• Global engagement

Applications & Practice

• Emerging trends in R

• Case studies and applications

• Analysis best practices and workflows

• Teaching R / R in teaching

Other

• 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.

All

• All tracks