rstudio::conf(2022, "program")

This repository contains files relating to the program for rstudio::conf(2022). Jump to the talk listing table.

How to Edit

Each talk has a corresponding markdown file, stored in a folder representing the planned sessions. You can find your talk and session in the table below. Click on the talk slug in the Talk column to view the markdown file for your talk.

To make changes to your talk information, please submit a pull request. The easiest way to do this is to edit the file directly on GitHub. (If you're comfortable with git and GitHub, you're welcome to create a pull request that way as well.)

Talk Metadata

Each markdown file contains a YAML header block which describes the talk. We've filled everything in with the information we have now, but there are a few fields you may wish to edit as you revise your talk. The part of the YAML that you are intended to edit is very clearly marked.

Here's an example from introducing-rhino-shiny-application-framework:

# The title of your talk
talk_title: Introducing Rhino: Shiny application framework for enterprise
# A short version of the title, suitable for small displays
talk_title_short: Introducing Rhino
# A link to your talk's materials, when ready
talk_materials_url: ~
  • talk_title should include the full title for your talk.

  • talk_title_short is a shorter version of the full title, appropriate for listing pages or for printing in places where the full title would be too long.

  • talk_materials_url: once you've prepared your talk, if you choose to publish your slides or other materials online, you may provide a link here to those materials.

You'll notice that some fields may contain ~. This is an explicit indication that the field is missing and you may choose to fill in the field with an appropriate value.

Speaker Information

The speakers and their information are also listed in the YAML header of each talk. Please edit these fields as needed.

Here is an example speaker entry. The bio field may contain simple markdown. The URLs are all optional and should be a full link to the speaker's personal webpage, twitter, github or linkedin profile, or the speaker's affiliation webpage.

speakers:
- name: Jacqui Ofalltrades
  affiliation: DataCo
  bio: |+
    A one-paragraph biographical sketch of the speaker.
    This text may include basic markdown: links, code style, bold, italics.

  photo: /assets/img/2022Conf/_talks/22080_jacqui-ofalltrades.jpg
  url:
    webpage: https://jacquiofalltrades.com
    twitter: https://twitter.com/jacquiofalltrades
    github: https://github.com/jacquiofalltrades
    linkedin: https://www.linkedin.com/in/jacqui-ofalltrades/
    affiliation: https://dataco.com

If you have a co-speaker, please ensure that the first speaker listed is the one presenting the material, either in person or via video.

Talks

Note that the talk order and schedule may change prior to the conference.

Speakers Session Talk Day Time
Julia Silge, Max Kuhn keynote applied-machine-learning Wed 09:00
Ryan E Wade business-intelligence tidyverse-power-bi-match-made Wed 11:00
James Blair business-intelligence r-python-tableau-love-triangle Wed 11:20
Thomas Wouters, Joran De Wilde business-intelligence building-client-portal-app Wed 11:40
Hannah Frick tidymodels censored-survival-analysis-in-tidymodels Wed 11:00
Emil Hvitfeldt tidymodels tidyclust-expanding-tidymodels-to-clustering Wed 11:20
Isabel Zimmerman tidymodels demystifying-mlops Wed 11:40
Becca Krouse r-in-pharma r-package-assessment-lessons-pharma Wed 11:00
Mike Stackhouse r-in-pharma dive-deep-metadata-tplyr Wed 11:20
Ellis Hughes r-in-pharma packages-and-process Wed 11:40
Kelly Bodwin teaching-data-science teaching-bilingual-classes-tidymodels-scikit Wed 11:00
Aleksander Dietrichson teaching-data-science mobile-low-bandwidth-low-tech Wed 11:20
Brian Danielak teaching-data-science designing-socially-critical-data-science Wed 11:40
Hezi Buba makeovers creating-data-input-platform-using Wed 13:30
Liz Roten makeovers inheritance-upgrading-legacy-project-making Wed 13:50
Hannah Podzorski makeovers advocating-for-automation Wed 14:10
Tiger Tang makeovers saving-1000-hours-rstudio Wed 14:30
Kelly O'Briant data-science-in-production remote-content-execution-rstudio-connect Wed 13:30
Benjamin Braun data-science-in-production rapidly-building-secure-customer-facing Wed 13:50
Ivonne Carrillo Dominguez data-science-in-production r-shiny-conception-to-cloud Wed 14:10
David Maguire data-science-in-production robust-r-deployments-building-pipeline Wed 14:30
Ben Matheson rapid-response anchorage-built-alaskas-vaccine-finder Wed 13:30
Isaac Florence rapid-response scaling-automating-r-workflows-kubernetes Wed 13:50
Lawrence Y. Tello rapid-response integrated-workflow-azure-devops-rstudio Wed 14:10
Allison Fox, Anubhuti Mishra rapid-response optimal-allocation-of-covid-19 Wed 14:30
Meghan S Harris data-quality making-data-pipelines-in-r Wed 13:30
Jim Kloet data-quality bad-data-what-to-do Wed 13:50
Tan Ho data-quality project-immortality-github Wed 14:10
Kolbi Parrish, Andy Pham data-quality r-markdown-rstudio-connect-r Wed 14:30
Tom Mock rmarkdown-quarto quarto-for-the-curious Wed 15:20
Lewis Kirvan rmarkdown-quarto sometimes-you-just-need-words Wed 15:40
Yihui Xie rmarkdown-quarto highlights-of-knitr-package-past Wed 16:00
Sigrid Keydana machine-learning dissecting-quick-fix-analysing-tech Wed 15:20
Mark Rieke machine-learning pull-bootstraps-generating-bootstrap-prediction Wed 15:40
Aaron R. Williams machine-learning tidysynthesis-r-package Wed 16:00
David Keyes wtf-career wtf-teach-you-starting-business Wed 15:20
Nic Crane wtf-career journey-to-becoming-apache-arrow Wed 15:40
Travis Gerke wtf-career wtf-teach-you-industry Wed 16:00
Rebecca Hadi databases exploring-query-optimization Wed 15:20
Kirill Müller databases dm-analyze-build-deploy-relational Wed 15:40
David Robinson databases dbcooper-turn-database-r-python Wed 16:00
Joe Cheng keynote past-future-shiny Wed 16:30
Mine Çetinkaya-Rundel, Julia Stewart Lowndes keynote collaborate-with-quarto Thurs 09:00
Jamie Ralph python developing-internal-tools-multilingual Thurs 10:30
Melissa Van Bussel python achieving-seamless-workflow-r-python Thurs 10:50
Gagandeep Singh, Xu Fei python develop-deploy-python-rstudio Thurs 11:10
Winston Chang python running-shiny-without-server Thurs 11:30
Josiah Parry lightning-talks exploratory-spatial-data-analysis Thurs 10:30
George Stagg lightning-talks webr-r-compiled-for-webassembly Thurs 10:35
Davis Vaughan lightning-talks its-about-time Thurs 10:40
Shelmith Nyagathiri Kariuki lightning-talks let-mobile-shine-leveraging-css Thurs 10:45
Dewey Dunnington lightning-talks accelerating-geospatial-computing-using-apache Thurs 10:50
David Smith lightning-talks zero-setup-r-workshops-github Thurs 10:55
Beatriz Milz lightning-talks making-awesome-automations-github-actions Thurs 11:00
Jon Harmon lightning-talks shinyslack-connecting-slack-teams Thurs 11:05
Andreas Hofheinz lightning-talks leafdown-interactive-multi-layer-maps Thurs 11:10
Nicola Rennie lightning-talks say-hello-to-multilingual-shiny Thurs 11:15
Alex Farach lightning-talks lets-start-beginning-bits Thurs 11:20
Amelia McNamara lightning-talks implications-of-r-syntax Thurs 11:25
Colin Gillespie lightning-talks comparing-package-versions-diffify Thurs 11:30
Matthew Kay lightning-talks visualizing-distributions-uncertainty-using-ggdist Thurs 11:35
Nicholas Tierney lightning-talks future-of-missing-data Thurs 11:40
Caro Buck working-with-people benefit-of-talking-to-non-datas Thurs 10:30
Weihuang Wong, Kiegan Rice working-with-people how-to-be-pollinator Thurs 10:50
Prabhakar Thanikasalam working-with-people enterprise-level-data-science-success Thurs 11:10
Tanya Cashorali working-with-people cross-industry-anomaly-detection-solutions Thurs 11:30
Jacqueline Nolis unexpected-uses made-entire-e-commerce-platform Thurs 10:30
Mark Sellors unexpected-uses worlds-smallest-r-environment-running Thurs 10:50
Eric Wanjau, Ian Muchiri unexpected-uses touch-of-r-in-robotics Thurs 11:10
John Goldin unexpected-uses introduction-to-apple-health-export Thurs 11:30
Johnny Breen bringing-people-together model-migration-excel-to-r Thurs 13:30
Hunter Owens bringing-people-together tidy-transit-real-life-data Thurs 13:50
Aaron Chafetz bringing-people-together leveraging-r-based-ecosystem Thurs 14:10
Danielle Dempsey bringing-people-together save-ocean-of-time-streamline Thurs 14:30
Nick Strayer shiny-app-design new-way-to-build-shiny Thurs 13:30
Greg Swinehart shiny-app-design whats-new-in-shiny-ui Thurs 13:50
Maya Gans shiny-app-design creating-design-system-for-shiny Thurs 14:10
Peter Gandenberger, Andreas Hofheinz shiny-app-design dashboard-builder Thurs 14:30
Ileana Fenwick communities-of-practice journey-to-data-science-tools Thurs 13:30
Zhian N. Kamvar communities-of-practice building-accessible-lessons-r-friends Thurs 13:50
Rachael Dempsey communities-of-practice everything-learned-community-building-learned Thurs 14:10
Martin Henze communities-of-practice r-kagglers-intersection-of-data Thurs 14:30
Meghan Hall working-with-code cultivating-r-ecosystem-solo-contributor Thurs 13:30
Dan Caley working-with-code demystifying-art-of-creating-custom Thurs 13:50
E. David Aja working-with-code you-should-use-renv Thurs 14:10
Jon Nye working-with-code shiny-dashboards-for-biomedical-research Thurs 14:30
Tracy Teal quarto-deep-dive of-favorite-things-quarto-presentations Thurs 15:20
Hamel Husain quarto-deep-dive literate-programming-quarto Thurs 15:40
Devin Pastoor quarto-deep-dive websites-books-blogs-quarto Thurs 16:00
Kamil Zyla big-shiny-apps introducing-rhino-shiny-application-framework Thurs 15:20
Sydeaka Watson big-shiny-apps robust-framework-for-automated-shiny Thurs 15:40
Barret Schloerke big-shiny-apps shinytest2-unit-testing-for-shiny Thurs 16:00
Alice Walsh, PhD delightful-uses quilting-in-r-becoming-creative Thurs 15:20
Tyler Morgan-Wall delightful-uses building-ggplot2-rollercoaster-creating-amazing Thurs 15:40
Mike Cheng delightful-uses polygons-of-another-world-realtime Thurs 16:00
June Choe advanced-r cracking-open-ggplot-internals-ggtrace Thurs 15:20
Bryan Shalloway advanced-r summarizing-projects-to-setting-tags Thurs 15:40
Hadley Wickham advanced-r introduction-to-r7 Thurs 16:00
Jeff Leek keynote data-science-training Thurs 16:30