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Copy file name to clipboardExpand all lines: about.qmd
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title: "About R+AI"
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R+AI 2025 is an R Consortium event focused on artificial intelligence with R. The program spans keynotes, talks, workshops, lightning talks, and panels.
R+AI 2025 is an R Consortium event focused on artificial intelligence with R. The program includes a two day schedule including a keynote on Day 1, talks, and a workshop.
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## Goals
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- Showcase practical AI with R across industries.
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- Share advances in modeling, GenAI, and responsible AI.
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- Connect the community through hands-on learning.
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## Quick Facts
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**Dates:** Nov 12–13, 2025
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**Location:** 100% online
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**Recordings:** Talks will be recorded
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**Community:** Speakers participate in live Q&A
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**Time Zone:** Schedule is US Eastern Time Zone
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Industry, Academia, and Student level ticketing
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will all be available
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**Pricing:** Industry, Academia, and Student level ticketing are all available
Copy file name to clipboardExpand all lines: index.qmd
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### **Dates:** Nov 12–13, 2025
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### **Location:** 100% online
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## [INCREDIBLE TWO DAY SCHEDULE!](program.qmd)
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Whether you're just getting started with machine learning, experimenting with large language models in R, leveraging GenAI tools to accelerate your code, part of an industry team deploying AI solutions in finance, healthcare, or marketing, or a researcher pushing the boundaries of deep learning or responsible AI—there's something here for you.
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Experience inspiring keynotes and talks and a hands-on workshop, all designed empower R users at every level.
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-**Talks will be recorded**
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-**Speakers participate in live Q&A**
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-**Schedule is US Eastern Time Zone**
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## KEYNOTE ADDRESS
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### Joe Cheng, CTO, Posit
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LLMs are powerful, flexible, easy-to-use... and often wrong. This is a dangerous combination, especially for data analysis and scientific research, where correctness and reproducibility are core requirements. Fortunately, it turns out that by carefully applying LLMs to narrower use cases, we can turn them into surprisingly reliable assistants that accelerate and enhance, rather than undermine, scientific work. This is not just theory—I'll showcase working examples of seamlessly integrating LLMs into analytic workflows, helping data scientists build interactive, intelligent applications without needing to be web developers. You'll see firsthand how keeping LLMs focused lets us leverage their "intelligence" in a way that's practical, rigorous, and reproducible.
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#### Bio
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Joe Cheng is the CTO and first employee at Posit, PBC (formerly known as RStudio), where he helped create the RStudio IDE, Shiny web framework, and Databot agent for exploratory data analysis.
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Whether you're just getting started with machine learning, experimenting with large language models in R, leveraging GenAI tools to accelerate your code, part of an industry team deploying AI solutions in finance, healthcare, or marketing, or a researcher pushing the boundaries of deep
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learning or responsible AI—there's something here for you.
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Experience inspiring keynotes and talks, hands-on workshops, lightning talks, and panel discussions designed to educate, connect, and empower R users at every level.
The following table lists the registration fees for three categories of attendees: students, academics and members of non-profit organizations, and professionals employed in industry who do not have non-profit status. All prices are in U.S. dollars.
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## Sponsorships
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If you would like to know about sponsorship opportunities, please write to sponsorship@r-consortium.org
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