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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 Tyson Barrett

Tyson Barrett

Highmark Health
Manager Research Analytics and Enablement

Contact Me

Tyson Barrett, PhD is the current data.table maintainer working with a talented team of developers and a wonderful development community. During his day job, he works with a team of researchers at Highmark Health, a healthcare organization, to improve healthcare outcomes, costs, and experiences. Tyson has been an avid user of R since 2014 and has several packages published on CRAN (e.g., furniture, tidyfast).
  • 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