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The Sched app allows you to build your schedule for the useR! Virtual Event. The virtual event is free; there is no cost to participate.

Virtual Tutorials will take place live on Zoom, and you must pre-register in order to participate. You will be able to use the chat and Q&A features in Zoom to ask the presenters questions. Please register by clicking on the link in the tutorial’s description.

Virtual Session Presentations will take place on YouTube Premier. Speakers will be available during the presentation to answer questions in the chat. The presentations can be found in this playlist.

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 located at the bottom of the menu to the right.

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

The in-person program will take place in Salzburg, Austria, on 8-11 July. Please see the in-person schedule page for more information.

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Health Economic Assessment Tool (HEAT) for Walking and Cycling (HeatR) - Thomas Gotschi, UC Berkeley & Tomasz Szwski, HEAT project
Tuesday July 2, 2024 20:00 - 20:20 CEST
YouTube Premier


The WHO's Health Economic Assessment Tool (HEAT) for walking and cycling is a publicly available health impact calculator employing R as its primary language. Originally an Excel sheet, it evolved into an HTML web tool before transitioning to R/Shiny six years ago for improved transparency and collaboration. A prototype of the application is accessible at https://heatwalkingcycling.org/HEAT_langs_dev/tool, soon to be integrated into the main production. Our development insights include tailored packages for translation and custom features. HEAT consists of three components: input data, health impact and carbon modeling (via `heatr`), and the UI, each utilizing distinct R libraries. Data integrity is upheld through workflows with `targets` and `assertr` packages, addressing issues like choosing between ISO 3166-1 alpha-3 and alpha-2. The UI, focusing on user-friendly data input options, leverages R Shiny, and inserts default inputs dynamically from spreadsheets. The custom-built `translator` package supports translation independently from the Shiny ecosystem. Our `templater` package streamlines text and reduces editorial errors, enabling conditioned templates with locale support.
Speakers
avatar for Thomas Gotschi

Thomas Gotschi

Visiting Research Associate, UC Berkeley
Dr. Thomas Götschi is an internationally recognized expert in sustainable transportation research with a focus on active transportation and related health aspects. He has led projects including developments of data collection apps and tools, innovative travel survey designs, analysis... Read More →
avatar for Tomasz Szwski

Tomasz Szwski

Programmer, HEAT project
Tomasz is a full-stack developer. With more than 12 years of experience as a professional programmer, he has participated in scientific projects in the field of the environment/health modeling focusing on the active modes of transport mainly. He uses R, Shiny and JavaScript on a daily... Read More →
Tuesday July 2, 2024 20:00 - 20:20 CEST
YouTube Premier
  Virtual Session Presentation, Programming
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