Conferences / posit::conf (formerly rstudio::conf)
rstudio::conf 2020
Jan 27–30, 2020 · Hilton San Francisco Union Square, San Francisco, CA, United States
- Conference
- posit::conf (formerly rstudio::conf) Data science & ML
- Dates
- Jan 27, 2020 – Jan 30, 2020
- Venue
- Hilton San Francisco Union Square
- Place
- San Francisco, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- 2,200rstudio-conf GitHub repo README: 'Over 2,200 advanced and new R users joined us in San Francisco'.
- Website
- rstudio.com
- Recorded
- 0 sponsors · 170 speaker appearances
- Notes
- Training days (workshops) Jan 27-28, conference Jan 29-30. Speakers (talks, keynotes, lightning talks, panel, e-posters, workshops) from the rstudio/rstudio-conf 2020 README. That list and the archived pages give no affiliations, so only keynote affiliations (rstudio.com/conference, Jan 2020) are recorded; contributed speakers' affiliations are null. Video links point to YouTube where matched in Posit's 'rstudio::conf()' playlist, otherwise to resources.rstudio.com recordings. Price: Jumping Rivers reported a $450 special price for the first 100 ticket purchasers; other tiers not found. Sponsors not found.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Conference (first 100 ticket purchasers) | $450 | — | Jumping Rivers: 'The first 100 ticket purchasers will get the special price of $450!' | blog.jumpingrivers.com |
Sponsors 0
No sponsors recorded
Speakers and talks 170
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Fernanda Viegas | Keynote | Data, visualization, and designing with AI | Video | |
| Hilary Parker | Stitch Fix | Keynote | NSSD Episode 100 | SlidesVideo |
| Jenny Bryan | RStudio | Keynote | Object of type ‘closure’ is not subsettable | SlidesVideo |
| JJ Allaire | RStudio | Keynote | Open Source Software for Data Science | SlidesVideo |
| Martin Wattenberg | Keynote | Data, visualization, and designing with AI | Video | |
| Roger Peng | Johns Hopkins | Keynote | NSSD Episode 100 | SlidesVideo |
| Adam Banker | — | Poster | Using Amazon Web Services in R with the Paws Package | Slides |
| Adriana Rodriguez | — | Poster | R for Equity-Focused Improvement: Using R Markdown, Shiny, and GGPlot to Empower Education Leaders in California | — |
| Alan Dipert | — | Poster | Visualizing zillions of features | Slides |
| Alex Gold | — | Speaker | Deploying End-To-End Data Science with Shiny, Plumber, and Pins | Video |
| Alicia Schep | — | Speaker | Auto-magic package development: Building an R API for building Vega-Lite Specs | SlidesVideo |
| Alison Hill | — | Workshop | Introduction to Machine Learning with the Tidyverse Workshop | — |
| Allison Horst | — | Workshop | R for Excel Users Workshop | — |
| Amanda Gadrow | — | Lightning | Lessons about R I learned from my cat | Video |
| Amelia McNamara | — | Workshop | Introduction to Data Science in the Tidyverse Workshop | — |
| Amelia McNamara | — | Lightning | Making a tidy dress | SlidesVideo |
| Ana Alyeska Santos | — | Speaker | Using R to Create Reproducible Engineering Test Reports | Video |
| Andrew Mangano | — | Speaker | Growth Hacking with R - Product Analytics at Scale using R and RStudio | Video |
| Andrie de Vries | — | Workshop | RStudio Professional Products Administration Workshop | — |
| Andrie de Vries | — | Poster | Using custom question types with learnr tutorials and the sortable package | — |
| Andy Troiano | — | Poster | Transparency in Evaluation of Machine Learning Models | Slides |
| Athos Damiani | — | Lightning | Sound annotation with Shiny and wavesurfer | SlidesVideo |
| Aymen Waqar | — | Speaker | Building a native iPad dashboard using plumber and RStudio Connect in Pharma | Video |
| Ben Barnard | — | Speaker | The good, the bad and the ugly: What I learned while consulting as a data scientist | Video |
| BenJoaquin Gouverneur | — | Speaker | Data Science in Meatspace | Video |
| Bradley Boehmke | — | Workshop | Deep Learning with Keras and TensorFlow in R Workshop | — |
| Brandon Farr | — | Speaker | 15 Years of R in Quantitative Finance | SlidesVideo |
| Braulio Cuandon | — | Speaker | Using R to Create Reproducible Engineering Test Reports | Video |
| Brendan Graham | — | Speaker | Shiny New Things: Using R to Bridge the Gap in EMR Reporting | Video |
| Bryan Lewis | — | Speaker | Parallel computing with R using foreach, future, and other packages | SlidesVideo |
| Carl Howe | — | Workshop | R Markdown and Interactive Dashboards Workshop | — |
| Carl Howe | — | Speaker | Data Science Education in 2022 | SlidesVideo |
| Caroline Ledbetter | — | Lightning | Rproject templates to automate and standardize your workflow | SlidesVideo |
| Carson Sievert | — | Speaker | Reproducible Shiny apps with shinymeta | Video |
| Charlie Thompson | — | Poster | How Spotify uses Shiny and bigrquery to scope A/B tests | — |
| Charlotte Wickham | — | Workshop | Building Tidy Tools Workshop | — |
| Claus Wilke | — | Speaker | Spruce up your ggplot2 visualizations with formatted text | SlidesVideo |
| Colin Fay | — | Speaker | Production-grade Shiny Apps with golem | SlidesVideo |
| Colin Gillespie | — | Speaker | How to win an AI Hackathon, without using AI | Video |
| Colin Rundel | — | Lightning | `livecode`: broadcast your live coding sessions from and to RStudio | SlidesVideo |
| Dana Seidel | — | Speaker | The little package that could: taking visualizations to the next level with the scales package | SlidesVideo |
| Dani Chu | — | Speaker | Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data | SlidesVideo |
| Daniel Falbel | — | Speaker | What's new in TensorFlow for R | SlidesVideo |
| Danielle Navarro | — | Speaker | Toward a grammar of psychological experiments | SlidesVideo |
| Danny Kaplan | — | Workshop | Shiny From Start To Finish Workshop | — |
| David Cooley | — | Poster | mapdeck - more than a map | Slides |
| David Keyes | — | Panel | Career Advice for Data Scientists | Video |
| David Smith | — | Speaker | MLOps for R with Azure Machine Learning | SlidesVideo |
| Davis Vaughan | — | Poster | Business Calendars and Moving Averages - An Analyst's Worst Nightmare | — |
| Davis Vaughan | — | Lightning | Sliding Windows and Calendars | SlidesVideo |
| Desiree De Leon | — | Speaker | Of Teacups, Giraffes, & R Markdown | SlidesVideo |
| Dewey Dunnington | — | Speaker | Best practices for programming with ggplot2 | SlidesVideo |
| Diya Das | — | Poster | Teaching R Outside the Classroom: Supporting Instructors and Learners | — |
| Dominik Krzemiński | — | Poster | What does it take to make Shiny prototype ready for production? | — |
| Edgar Ruiz | — | Workshop | Big Data with R Workshop | — |
| Eduardo Ariño de la Rubia | — | Speaker | Value in Data Science Beyond Models in Production | Video |
| Ellis Hughes | — | Speaker | Approaches to Assay Processing Package Validation | SlidesVideo |
| Emily Riederer | — | Speaker | RMarkdown Driven Development | SlidesVideo |
| Emily Robinson | — | Poster | funneljoin: Analyzing sequences of events in R | — |
| Eric Nantz | — | Poster | Highlights from the Shiny Developer Community | Slides |
| Evangeline Reynolds | — | Speaker | Flipbooks | Video |
| Ezgi Karaesmen | — | Poster | Introducing R to teenagers - A learnr experience | Slides |
| Fernando Barbalho | — | Poster | Rstats support for transparency initiatives of the Brazilian National Treasury | Slides |
| Frank Harrell | — | Speaker | R for Graphical Clinical Trial Reporting | SlidesVideo |
| Gabriela de Queiroz | — | Panel | Career Advice for Data Scientists | Video |
| Garrett Grolemund | — | Workshop | Introduction to Machine Learning with the Tidyverse Workshop | — |
| Garrick Aden-Buie | — | Workshop | JavaScript for Shiny Users Workshop | — |
| George Kastrinakis | — | Speaker | Building a new data science pipeline for the FT with RStudio Connect | Video |
| Gergely Daroczi | — | Speaker | Getting things logged | SlidesVideo |
| Gordon Shotwell | — | Speaker | Technical debt is a social problem | Video |
| Greg Wilson | — | Workshop | RStudio Instructor Training Workshop (1-day) | — |
| Greg Wilson | — | Speaker | Data Science Education in 2022 | SlidesVideo |
| Hadley Wickham | — | Speaker | Tidyverse 2019-2020 | Video |
| Hadley Wickham | — | Workshop | Introduction to Data Science in the Tidyverse Workshop | — |
| Hadley Wickham | — | Workshop | Building Tidy Tools Workshop | — |
| Hannah Steinberg | — | Poster | Communicating public health data with Shiny: West Nile virus risk, school vaccination rates, health equity, and more | Slides |
| Heather Nolis | — | Speaker | We’re hitting R a million times a day so we made a talk about it | SlidesVideo |
| Henrik Bengtsson | — | Speaker | Future: Simple Async, Parallel & Distributed Processing in R - What's Next? | SlidesVideo |
| Hunter Glanz | — | Lightning | The Five Principles of Data Science Education | Video |
| Ian Cook | — | Speaker | Bridging the gap between SQL and R: Introducing queryparser and tidyquery | SlidesVideo |
| Ian Lyttle | — | Speaker | Small Team, Big Value: Using R to Design Visualizations | SlidesVideo |
| Jacqueline Gutman | — | Speaker | Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach | Video |
| Jacqueline Nolis | — | Speaker | We’re hitting R a million times a day so we made a talk about it | SlidesVideo |
| Jake Thompson | — | Speaker | Branding and Packaging Reports with R Markdown | SlidesVideo |
| James Blair | — | Workshop | Big Data with R Workshop | — |
| James Blair | — | Speaker | Practical Plumber Patterns | SlidesVideo |
| James Laird-Smith | — | Poster | Introducing {gs}: a grammar of recurring calendar events | — |
| Jared Lander | — | Speaker | R: Then and Now | Video |
| Javier Luraschi | — | Speaker | Updates on Spark, MLflow, and the broader ML ecosystem | SlidesVideo |
| Javier Luraschi | — | Lightning | Datasets in Reproducible Research with 'pins' | SlidesVideo |
| Jay Campanell | — | Lightning | A high school student’s journey to bring R into the classroom. | Video |
| Jeff Leek | — | Speaker | Data science education as an economic and public health intervention in East Baltimore | Video |
| Jen Hecht | — | Panel | Career Advice for Data Scientists | Video |
| Jen Wu | — | Poster | Political Channels on Youtube | — |
| Jenny Bryan | — | Workshop | What They Forgot to Teach You about R Workshop | — |
| Jesse Sadler | — | Speaker | vctrs: Creating custom vector classes with the vctrs package | SlidesVideo |
| Jim Hester | — | Workshop | What They Forgot to Teach You about R Workshop | — |
| Jim Hester | — | Poster | Azure Pipelines and GitHub Actions | Video |
| Jim Hester | — | Speaker | Azure Pipelines and GitHub Actions | SlidesVideo |
| Joe Cheng | — | Speaker | Styling Shiny apps with Sass and Bootstrap 4 | SlidesVideo |
| Jon Harmon | — | Lightning | Learning by Teaching: Mentoring at the R4DS Online Learning Community | SlidesVideo |
| Jonathan Bratt | — | Poster | Using BERT in R | — |
| Jonathan McPherson | — | Speaker | RStudio 1.3 Sneak Preview | SlidesVideo |
| Julia Lowndes | — | Workshop | R for Excel Users Workshop | — |
| Julia Silge | — | Workshop | Text Mining with Tidy Data Principles Workshop | — |
| Justin Juskewitch | — | Speaker | Development of a web-based clinical decision support application for platelet transfusion management | SlidesVideo |
| Kara Woo | — | Workshop | What They Forgot to Teach You about R Workshop | — |
| Karl Feinauer | — | Speaker | Using Jupyter with RStudio Server Pro | Video |
| Kate Hertweck | — | Speaker | If you build it, they will come...but then what? Facilitating communities of practice in R | SlidesVideo |
| Katherine Simeon | — | Lightning | Every voice matters: An analysis of @WeAreRLadies | SlidesVideo |
| Katie Masiello | — | Speaker | Case Studies in Customer Success | Video |
| Katie O'Brien | — | Poster | Using R for Actionable School Improvement Analytics | — |
| Kelly Bodwin | — | Lightning | Course Material Creation in the R Ecosystem | Video |
| Kevin Ushey | — | Speaker | renv: Project Environments to R | SlidesVideo |
| Kieran Healy | — | Workshop | A Practical Introduction to Data Visualization with ggplot2 Workshop | — |
| Kim Cressman | — | Poster | Using R to analyze, understand, and communicate tidal wetland data | Slides |
| L. D. Nicolas May | — | Poster | Tidy Eval for Wide Datasets | — |
| Larry Fenn | — | Speaker | Journalism with RStudio, R, and the tidyverse | SlidesVideo |
| Lauren Chadwick | — | Speaker | Meet You Where You R | Video |
| Lionel Henry | — | Speaker | Advances in tidyeval | SlidesVideo |
| Malcolm Barrett | — | Workshop | My Organization's First R Package Workshop | — |
| Malcolm Barrett | — | Poster | The YAML Problem: Writing and working with YAML with ymlthis | Slides |
| Maria Ortiz Mancera | — | Lightning | Mexican electoral quick count night with R | SlidesVideo |
| Max Kuhn | — | Speaker | Totally Tidy Tuning Techniques | SlidesVideo |
| Max Kuhn | — | Workshop | Applied Machine Learning Workshop | — |
| Maya Gans | — | Lightning | TidyBlocks: using the language of the tidyverse in a blocks-based interface | SlidesVideo |
| Mike K Smith | — | Lightning | Learn to teach, for goodness sake. | SlidesVideo |
| Mine Cetinkaya-Rundel | — | Workshop | Designing the Data Science Classroom Workshop | — |
| Mine Çetinkaya-Rundel | — | Speaker | Making the Shiny Contest | Video |
| Miriah Meyer | — | Speaker | Designing Effective Visualizations | Video |
| Moody Hadi | — | Speaker | Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents | Video |
| Namita Nandakumar | — | Speaker | R + Tidyverse in Sports | SlidesVideo |
| Nathaniel Phillips | — | Speaker | FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the tidyverse | Video |
| Neal Grantham | — | Poster | Data Viz Trends from the Tidy Tuesday Community | — |
| Neal Richardson | — | Speaker | Accelerating Analytics with Apache Arrow | SlidesVideo |
| Nicholas Tierney | — | Speaker | Making better spaghetti (plots): Exploring longitudinal data with the brolgar package | SlidesVideo |
| Nick Strayer | — | Speaker | Stochastic Block Models with R: Statistically rigerous clusting with rigorous code | SlidesVideo |
| Nima Safaian | — | Speaker | Rpanda trading simulation - from an idea to a multi-user shiny app | SlidesVideo |
| Paige Bailey | — | Speaker | Deep Learning with R | Video |
| Pedro Silva | — | Poster | From Front-End to Shiny development. Augmenting the power of your dashboards with modern front-end tools. | — |
| Qian Zhao | — | Speaker | Forecasting Platelet Blood Bag Demand to Reduce Inventory Wastage at the Stanford Blood Center | SlidesVideo |
| Ramnath Vaidyanathan | — | Poster | Large Beautiful Shiny Dashboards Made Easy! | — |
| Rebecca Barter | — | Lightning | Becoming an R blogger | SlidesVideo |
| Rich Iannone | — | Workshop | My Organization's First R Package Workshop | — |
| Riva Quiroga | — | Speaker | The development of ""datos"" package for the R4DS Spanish translation | Video |
| Rob Hyndman | — | Speaker | How Rmarkdown changed my life | SlidesVideo |
| Rob Hyndman | — | Workshop | Tidy Time Series and Forecasting in R Workshop | — |
| Ron Keizer | — | Speaker | Building a Medical Device with R | Video |
| Ryan Timpe | — | Speaker | Learning R with humorous side projects | SlidesVideo |
| Saad Aslam | — | Poster | Using R Markdown and Shiny to Enable Richer Reporting | — |
| Sara Altman | — | Poster | Using R to teach R: Building an evolving data science curriculum | — |
| Sean Murphy | — | Speaker | How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R | Video |
| Sharla Gelfand | — | Speaker | Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe. | SlidesVideo |
| Sydeaka Watson | — | Speaker | Neural Networks for Longitudinal Data Analysis | SlidesVideo |
| Sydeaka Watson | — | Panel | Career Advice for Data Scientists | Video |
| Therese Anders | — | Lightning | Peer review in data science courses | SlidesVideo |
| Thomas Lin Pedersen | — | Speaker | Extending your ability to extend ggplot2 | SlidesVideo |
| Tiffany Timbers | — | Poster | Integrating R & Python into a Data Science program | — |
| Tina Cormier | — | Speaker | Embracing R in the Geospatial Community | SlidesVideo |
| Travis Gerke | — | Speaker | UnicoRns are real | SlidesVideo |
| Tyler Morgan-Wall | — | Speaker | 3D ggplots with rayshader | SlidesVideo |
| Tyson Barrett | — | Speaker | List-columns in data.table: Reducing the cognitive & computational burden of complex data | Video |
| Van Vincent | — | Poster | Leverage GPU computation in R using Pytorch | — |
| Vincent Guyader | — | Speaker | Production-grade Shiny Apps with golem | SlidesVideo |
| William Chase | — | Speaker | The Glamour of Graphics | SlidesVideo |
| Winston Chang | — | Speaker | Asynchronous programming in R | SlidesVideo |
| Yihui Xie | — | Speaker | One R Markdown Document, Fourteen Demos | SlidesVideo |
| Yihui Xie | — | Workshop | R Markdown and Interactive Dashboards Workshop | — |
| Yim Register | — | Lightning | Data Science for Software Engineers: busting software myths with R | Video |
| Zev Ross | — | Workshop | Modern Geospatial Data Analysis with R Workshop | — |
Sources
- https://github.com/rstudio/rstudio-conf/blob/master/2020/README.md
- https://web.archive.org/web/20200118214725/https://www.rstudio.com/conference/
- https://posit.co/blog/thinking-about-rstudio-conf-2020-see-the-full-conference-schedule
- https://blog.jumpingrivers.com/blog/r-conference-costs-v2-0/
- https://www.youtube.com/playlist?list=PL9HYL-VRX0oTw-6TQri7Fr97G3IX0tHh8