rstudio::conf(2022) Program

July 27

Keynote 1

09:00am—10:30am

Keynote

Potomac A+B

• Good practices for applied machine learning - from model development to model deployment
  Julia Silge, RStudio & Max Kuhn, RStudio

Session 1

11:00am—12:00pm

Business intelligence

Potomac C

• Tidyverse and Power BI: A Match Made in Heaven
  Ryan E Wade
• R, Python, and Tableau: A Love Triangle
  James Blair, RStudio
• Building a client portal app for a mortgage management group with embedded Power BI reports
  Thomas Wouters, AXI Full Service RStudio Partner & Joran De Wilde, AXI Full Service RStudio Partner

Drugs not bugs: effective use of R in pharma

Cherry Blossom

• R Package Assessment: Lessons from Pharma
  Becca Krouse, GSK
• Dive Deep into Metadata with Tplyr
  Mike Stackhouse, Atorus Research
• Packages and Process
  Ellis Hughes, GSK

Teaching data science

National Harbor 10+11

• Translating from {tidymodels} and scikit-learn: Lessons from a ‘bilingual’ course.
  Kelly Bodwin, California Polytechnic State University
• Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile.
  Aleksander Dietrichson, Universidad de San Martin & Chi Square Laboratories
• Designing a Socially-Critical Data Science Course
  Brian Danielak, University of Maryland – College Park

Updates from the tidymodels team

Potomac D

• censored - Survival Analysis in tidymodels
  Hannah Frick, RStudio
• tidyclust - expanding tidymodels to clustering
  Emil Hvitfeldt, RStudio
• Demystifying MLOps
  Isabel Zimmerman, RStudio

Session 2

01:30pm—02:50pm

Data science in production

Potomac D

• Remote Content Execution with RStudio Connect and Kubernetes
  Kelly O’Briant, RStudio
• Data science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect
  Benjamin Braun, 202 Group
• R Shiny - From Conception to the Cloud
  Ivonne Carrillo Dominguez
• Robust R Deployments: Building a Pipeline from RStudio to Production
  David Maguire, dv01

Generating high quality data

National Harbor 10+11

• Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
  Meghan S Harris, PCCTC @ Memorial Sloan Kettering
• Garbage Data, And What To Do About Them
  Jim Kloet
• Project Immortality: Using GitHub To Make Your Work Live Forever
  Tan Ho
• R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring
  Kolbi Parrish, California Dept. Public Health + UCSF & Andy Pham, UCSF + California Dept. Public Health

R be nimble, R be quick, R help me plan my vaccine stick: Rapidly responding to world events with R.

Cherry Blossom

• How Anchorage Built Alaska’s Vaccine Finder with R
  Ben Matheson, Municipality of Anchorage Innovation Team
• Scaling and automating R workflows with Kubernetes and Airflow
  Isaac Florence, UK Health Security Agency
• An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect
  Lawrence Y. Tello, California Department of Public Health
• Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story
  Anubhuti Mishra, Palladium International

Take a sad process and make it better: project and process makeovers

Potomac C

• Do It For Yourself: Creating a data input platform using R
  Hezi Buba, Tel Aviv University
• Oddly Satisfying - Find delight in the mundane
  Liz Roten, Metropolitan Council
• Advocating for Automation: Adapting Current Tools in Environmental Science through R
  Hannah Podzorski, GSI Environmental
• Saving 1,000 hours with RStudio: selling R in your workplace
  Tiger Tang, CARFAX, Inc.

Session 3

03:20pm—04:20pm

Databases

National Harbor 10+11

• Exploring Query Optimization: How a few lines of code can save hours of time
  Rebecca Hadi, Lyn Health
• dm: Analyze, build and deploy relational data models
  Kirill Müller, cynkra GmbH
• dbcooper: Turn any database into an R or Python package
  David Robinson, Heap Analytics

Machine learning

Potomac D

• Dissecting the quick fix: Analysing tech-solutionist solutions
  Sigrid Keydana, RStudio
• Introducing workboots: Generate prediction intervals from tidymodel workflows
  Mark Rieke, Memorial Hermann Health System
• The tidysynthesis R package
  Aaron R. Williams, Urban Institute

RMarkdown and Quarto

Potomac C

• Quarto for the Curious
  Tom Mock, RStudio
• Sometimes you just need words
  Lewis Kirvan, Consumer Financial Protection Bureau
• Highlights of the knitr package from the past two years
  Yihui Xie, RStudio

What they forgot to teach you about your career

Cherry Blossom

• What they forgot to teach you about starting a business with R
  David Keyes, R for the Rest of Us
• What they forgot to teach you about becoming an open source contributor
  Nic Crane, Voltron Data
• What they forgot to teach you about industry transitions from academia (WTF AITA)
  Travis Gerke, The Prostate Cancer Clinical Trials Consortium

Keynote 2

04:30pm—05:30pm

Keynote

Potomac A+B

• The Past and Future of Shiny
  Joe Cheng, RStudio

July 28

Keynote 1

09:00am—10:00am

Keynote

Potomac A+B

• Hello Quarto: Share • Collaborate • Teach • Reimagine
  Mine Çetinkaya-Rundel, RStudio + Duke University & Julia Stewart Lowndes, Openscapes

Session 1

10:30am—11:50am

Lightning talks

Potomac D

• Exploratory Spatial Data Analysis in the tidyverse
  Josiah Parry, The NPD Group
• WebR: R compiled for WebAssembly and running in the browser
  George Stagg, RStudio
• It’s about time
  Davis Vaughan, RStudio
• Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive
  Shelmith Nyagathiri Kariuki, Data Analytics Consultant
• Accelerating geospatial computing using Apache Arrow
  Dewey Dunnington, Voltron Data
• Zero-setup R workshops with GitHub Codespaces
  David Smith, Microsoft
• Making awesome automations with GitHub Actions
  Beatriz Milz, Curso-R, R-Ladies São Paulo and University of Sao Paulo
• {shinyslack}: Connecting Slack Teams to Shiny Apps
  Jon Harmon, R4DS Online Learning Community
• leafdown: Interactive multi-layer maps in Shiny apps
  Andreas Hofheinz
• Say Hello! to Multilingual Shiny Apps
  Nicola Rennie, Jumping Rivers
• Let’s start at the beginning - bits to character encoding in R
  Alex Farach, Accenture Federal Services
• Implications of R syntax in intro stats
  Amelia McNamara, University of St Thomas
• Comparing package versions with Diffify
  Colin Gillespie, Jumping Rivers
• Visualizing distributions and uncertainty using ggdist
  Matthew Kay, Northwestern University
• The Future of missing data
  Nicholas Tierney, Telethon Kids Institute, Perth, Australia

Some of my best friends use Python

Potomac C

• Developing internal tools for multi-lingual teams
  Jamie Ralph, Bumble
• Achieving a seamless workflow between R, Python and SAS from within RStudio
  Melissa Van Bussel, Statistics Canada
• Yes, you can use Python with RStudio Team!
  Gagandeep Singh, RStudio & Xu Fei, RStudio
• Running Shiny without a server
  Winston Chang, RStudio

Unexpected uses of R

National Harbor 10+11

• I made an entire e-commerce platform on Shiny
  Jacqueline Nolis, Saturn Cloud
• The worlds smallest R environment? Running R on a $15 computer
  Mark Sellors, R4Pi.org
• A touch of R in Robotics
  Eric Wanjau, Leeds Institute for Data Analytics & Ian Muchiri, Dedan Kimathi University of Technology
• An Introduction to the Apple Health Export
  John Goldin, Yale University

Working with people is hard

Cherry Blossom

• The Benefit of Talking to the “Non-Datas”
  Caro Buck, Wunderman Thompson
• How to be a pollinatoR
  Weihuang Wong, NORC at the University of Chicago & Kiegan Rice, NORC at the University of Chicago
• Enterprise-Level Data Science Success
  Prabhakar Thanikasalam, Flex (flex.com)
• Cross-Industry Anomaly Detection Solutions with R and Shiny
  Tanya Cashorali, TCB Analytics

Session 2

01:30pm—02:50pm

Cat herding: solving big problems by bringing people together

Potomac C

• Model Migration: from Excel to R
  Johnny Breen, Tokio Marine Kiln
• Tidy Transit: Real Life Data Modeling for Public Transportation
  Hunter Owens, California Department of Transportation
• Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government
  Aaron Chafetz, US Agency for International Development
• Save an ocean of time: streamline data wrangling with R
  Danielle Dempsey, Centre for Marine Applied Research

It takes a village: building communities of practice

Cherry Blossom

• A Journey to Data Science: Tools for Equity and Diversity in STEM
  Ileana Fenwick, UNC Chapel Hill
• Building Accessible Lessons with R and Friends
  Zhian N. Kamvar, The Carpentries
• Everything I learned about community building, I learned from growing up in a restaurant
  Rachael Dempsey, RStudio
• We R KaggleRs - At the Intersection of Data Science Communities
  Martin Henze, YipitData

Pour some glitter on it: polishing the design of your shiny apps

Potomac D

• A new way to build your Shiny app’s UI
  Nick Strayer, RStudio
• Designing for people is hard
  Greg Swinehart, RStudio
• Creating a Design System for Shiny and RMarkdown
  Maya Gans, Atorus Research
• Dashboard-Builder: Building Shiny Apps without writing any code
  Peter Gandenberger

Working with code is hard

National Harbor 10+11

• Cultivating Your Own R Ecosystem as a Solo Contributor
  Meghan Hall, Brown University
• Demystifying the art of creating custom libraries for your organization
  Dan Caley, Custom Ink
• You should be using renv
  E. David Aja, RStudio
• Shiny Dashboards for Biomedical Research Funding
  Jon Nye, National Institutes of Health

Session 3

03:20pm—04:20pm

Eye candy: surprising and delightful uses of R

Cherry Blossom

• Becoming Creative: How I Designed a Quilt with R
  Alice Walsh, Pathos, R-Ladies Philly
• Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
  Tyler Morgan-Wall, Institute for Defense Analyses
• The Polygons of Another World - realtime interactive rendering in R
  Mike Cheng

I like big apps: shiny apps that scale

Potomac D

• Introducing Rhino: Shiny application framework for enterprise
  Kamil Zyla, Appsilon
• A Robust Framework for Automated Shiny App Testing
  Sydeaka Watson, Eli Lilly and Co
• {shinytest2}: Unit testing for Shiny applications
  Barret Schloerke, RStudio

Just typing R code: advanced R programming

National Harbor 10+11

• Cracking open ggplot internals with {ggtrace}
  June Choe, University of Pennsylvania
• From summarizing projects to setting tags, uses of parsing R files
  Bryan Shalloway, NetApp
• An introduction to R7
  Hadley Wickham, RStudio

Quarto deep dive

Potomac C

• These are a few of my favorite things (about Quarto presentations)
  Tracy Teal, RStudio
• Literate Programming With Jupyter Notebooks and Quarto
  Hamel Husain, fastai
• Websites & Books & Blogs, oh my! Creating Rich Content with Quarto
  Devin Pastoor, RStudio

Keynote 2

04:30pm—05:30pm

Keynote

Potomac A+B

• Data science training in communities with limited technology resources and opportunities
  Jeff Leek, Fred Hutchinson Cancer Center