Conferences / New York R Conference (now The New York Data Science & AI Conference)
New York R Conference 2023
Jul 13–14, 2023 · French Institute Alliance Française (FIAF), Florence Gould Hall, New York, NY, United States
- Conference
- New York R Conference (now The New York Data Science & AI Conference) Data science & ML
- Dates
- Jul 13, 2023 – Jul 14, 2023
- Venue
- French Institute Alliance Française (FIAF), Florence Gould Hall
- Place
- New York, NY, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- rstats.ai
- Recorded
- 7 sponsors · 29 speaker appearances
- Notes
- Ninth NYR, in person and virtual. Two-day workshops July 11-12 at Columbia University (separate tickets). Speakers from the post-event page; SuperDataScience live podcast (Jon Krohn & Chris Wiggins) and workshops from the July 2023 page (no affiliations shown for the podcast guests). A promo code gave 20% off conference and workshop tickets, but list prices were not archived.
Ticket prices
No ticket prices recorded
Sponsors 7
Other 4
- Chapman & Hall/CRC, Taylor & Francis Group · Supporting
- Manning · Supporting
- Pearson · Supporting
- Springer Nature · Supporting
Speakers and talks 29
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Andrew Wallender | Bloomberg | Talk | How to Interrogate Data Like a Journalist | SlidesVideo |
| Ayanthi Gunawardana | 1-800-FLOWERS.COM, Inc | Talk | CaRtography: Creating Accurate and Beautiful Maps in R | SlidesVideo |
| Bob Rudis | GreyNoise Intelligence | Talk | Into the WebR-Verse | SlidesVideo |
| Caitlin Hudon | Figma | Talk | How to Make Decisions with Data | Video |
| Caterina Constantinescu | GlobalLogic | Talk | Deconstructing LLM Use: Key Considerations to Deliver Custom Solutions | SlidesVideo |
| Chris Wiggins | — | Podcast | SuperDataScience Podcast Live | Video |
| Chrys Wu | Matchstrike | Talk | How to Win Friends and Influence Product Managers | SlidesVideo |
| Daniel Chen | University of British Columbia & Lander Analytics | Talk | Moving to Quarto from RMarkdown and Python Jupyter Notebooks | SlidesVideo |
| Emil Hvitfeldt | Posit | Talk | Slidecraft: The Art of Creating Pretty Presentations | Video |
| Emily Riederer | Capital One | Talk | Column Names as Contracts - Inspired by dplyr, Available in dbt | SlidesVideo |
| George Perrett | New York University | Talk | Bayesian Boosting | SlidesVideo |
| Hamdan Azhar | PRISMOJI | Talk | An Ode to Permissionless Data Science | SlidesVideo |
| Jared P. Lander | Lander Analytics | Talk | Building an R Package with LLMs | SlidesVideo |
| Jessica Duncan | Greenlight | Talk | Give Credit Where Credit Is Due: Data-Driven Approach to Marketing Channel Attribution | SlidesVideo |
| Jon Krohn | — | Podcast | SuperDataScience Podcast Live | Video |
| Jonah Gabry | — | Workshop | Workshop: Bayesian Data Analysis and Stan | — |
| Lucy D'Agostino McGowan | — | Workshop | Workshop: Causal Inference in R | — |
| Malcolm Barrett | — | Workshop | Workshop: Causal Inference in R | — |
| Matt Dupree | EXORVA | Talk | OpenAI's Embeddings are Cooler than ChatGPT: An Intro to using OpenAI's Embeddings API | Video |
| Max Kuhn | Posit | Workshop | Workshop: Machine Learning in R | — |
| Max Kuhn | Posit | Talk | The Post-Modeling Model to Fix the Model | Video |
| Mike Band | NFL | Talk | The Many Models in Production at NFL Next Gen Stats | SlidesVideo |
| Mitchell O'Hara-Wild | Nectric | Talk | From Forecast to Fable, Design Decisions for Statistical Software | SlidesVideo |
| Mitchell O'Hara-Wild | Nectric | Workshop | Workshop: Tidy Time Series and Forecasting in R | — |
| Molly Huie | Bloomberg | Talk | How to Interrogate Data Like a Journalist | SlidesVideo |
| Rick Saporta | Entera | Talk | Data Product Management for Data Science: How to Answer Every Team's Most Important Question | Video |
| Ryan Klein | Continental Resources | Talk | Using Plumber to Expose Models In Excel | SlidesVideo |
| Saar Golde | Via | Talk | Evaluating Microtransit's Impact on Congestion | — |
| Wes McKinney | Voltron Data | Talk | Leveling Up the Data Stack: Thoughts on the Last 15 Years | Video |
Sources
- https://web.archive.org/web/20230704055959/https://rstats.ai/nyr.html
- https://web.archive.org/web/20231011053240/https://rstats.ai/nyr.html
- https://web.archive.org/web/20230921211349/https://rstats.ai/dayof.html
- https://r-consortium.org/posts/decade-of-data-celebrating-10-years-of-innovation-at-the-new-york-r-conference/index.html
- https://rstats.ai/videos