README.md

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