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useR! 2024
Attending this event?
In Person
8 - 11 July, 2024
Learn more and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for useR! 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00)To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The virtual program will take place on 2 July. Please see the virtual schedule page for more information.
avatar for Juan Claramunt

Juan Claramunt

Leiden University
Specialist in sciencific information
Bachelor in Mathematics at Universidad de Cantabria, Utrecht University & Brown University.
Master in Methodology and Statistics for the Behavioural, Biomedical, and Social Sciences, & European Master in Official Statistics (Utrecht University).
Scientific information specialist at Leiden University since 2018. Research includes regression and classification trees, multiple imputation, or reproducibility in simulation studies. Coordinator of R seminars for five bachelor Statistics courses.
  • Timezone
  • Filter By Date useR! 2024 Jul 7 -11, 2024
  • Filter By Venue Salzburg, Austria
  • Filter By Type
  • Big and high-dimensional data
  • Biostatistics + epidemiology + bioinformatics
  • Breaks + Special Events
  • Community and outreach
  • Cross-industry collaboration
  • Data handling and management
  • Data science education
  • Data visualisation
  • Economics + finance + insurance + business
  • Efficient programming
  • Environmental sciences
  • Interfaces with other programming languages
  • Keynote Sessions
  • Machine learning and AI
  • Numerical methods
  • Open and reproducible science
  • Predictive modelling and forecasting
  • Public sector and NGO
  • Quarto and reporting
  • R workflow + deployment + production
  • Registration
  • Research software engineering
  • Shiny + dashboards + web apps
  • Social sciences
  • Spatial data and maps
  • Sponsor Showcase
  • Statistical modelling
  • Text data and NLP
  • Level