Data Science

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title:shiny	Title only
date:>2025-01-01	After a date
(a OR b) AND c	Group with parens

Making the most of artificial and human intelligence for data science (Hadley Wickham, Joe Cheng)

Making the most of artificial and human intelligence for data science Speaker(s): Hadley Wickham; Joe Cheng Abstract: This presentation explores the complex and often contradictory nature of large language models (LLMs) in data science, acknowledging the simultaneous excitement and apprehension that we feel toward these technologies. We’ll provide a practical framework to help you understand the LLM ecosystem (from foundation models and hosting to SDKs and applications) that supports our current philosophy: augmenting, not replacing human intelligence. The talk demonstrates how Posit is addressing this space through two complementary approaches: building SDKs and tools that help you create your own LLM-powered solutions, and developing integrated LLM capabilities directly into data science workflows through tools like Positron assistant and databot. We’ll showcase practical, immediately useful applications while addressing current limitations, providing you with both the emotional preparation and technical foundation needed to effectively leverage LLMs in their data science practice today. posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Hadley Wickham, Joe Cheng

Election Night Reporting Using R & Quarto (Andrew Heiss & Gabe Osterhout) | posit::conf(2025)

Election Night Reporting Using R & Quarto Speaker(s): Gabe Osterhout; Andrew Heiss Abstract: Election night reporting (ENR) is often clunky, outdated, and overpriced. The Idaho Secretary of State’s office leveraged R and Quarto to create a better ENR product for the end user while driving down costs using the open-source software we all know and love. With help from Dr. Andrew Heiss, R was used in every step of the process—from {dbplyr} backend to visualizing the results using {reactable} tables and {leaflet} maps, combining the output into a visually appealing Quarto website. Quarto was the ideal solution due to its scalability, quick deployment, responsive design, and easy navigation. In addition, Dr. Heiss will discuss the advantages of using a {targets} pipeline and creating programmatic code chunks in Quarto. GitHub Repo - https://github.com/andrewheiss/election-desk posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Web applications with Shiny and React and AI (Winston Chang, Posit) | posit::conf(2025)

Web applications with Shiny and React (and AI) Speaker(s): Winston Chang If you’ve ever wanted to have complete control over the UI for a Shiny application, this talk might be for you. In this talk I’ll show how to integrate a back end written in Shiny (for R or Python) with a front end written in React.js. This lets you combine Shiny’s reactivity with the flexibility of the React web development ecosystem. In the past, writing a front end in React was a large time investment, and would be reserved only for a serious project. However, with today’s agentic AI coding tools, it can make sense to create a React front end even for smaller-scale applications. But even with AI involved, you will still need to know some React or be willing to learn about it. GitHub Repo - https://github.com/wch/shiny-react CLI tool - https://github.com/wch/create-shiny-react-app Anthropic Dashboard - https://github.com/wch/anthropic_dashboard posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Winston Chang

surveydown (John Paul Helveston, GWU) | posit::conf(2025)

surveydown: A Markdown-Based Platform for Interactive and Reproducible Surveys Using Quarto and Shiny Speaker(s): John Paul Helveston Abstract: This talk introduces the surveydown R package and survey platform, which leverages the Quarto publication system and R shiny web framework to create reproducible and interactive surveys. While most survey platforms rely on graphical interfaces or spreadsheets to define survey content, surveydown uses plain text (markdown and R code chunks), enabling version control and collaboration via tools like GitHub. It supports complex features like conditional skip logic, dynamic questions, and complex randomization as well as a diverse set of question types and formatting options. The open-source package gives researchers full control over survey implementation and data storage, with reproducible workflows that integrate with R data analysis. GitHub Repo - https://github.com/surveydown-dev/surveydown Materials - https://github.com/jhelvy/2025-posit-conf-surveydown posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Observability at scale (Barret Schloerke, Posit) | posit::conf(2025)

Observability at scale: Monitoring Shiny Applications with OpenTelemetry Speaker(s): Barret Schloerke Abstract: Understanding what happens behind the scenes in production Shiny applications has always been challenging. When users experience slow response times or unexpected behavior, developers are left guessing where bottlenecks occur. This talk introduces OpenTelemetry integration for Shiny for R, a new approach to profiling code and understanding application behavior. Through a chat-enabled weather application, we’ll explore how complex user interactions trigger cascading events across multiple processes. You’ll learn how OpenTelemetry’s “high-quality, ubiquitous, and portable telemetry” can provide complete visibility into your Shiny application’s performance with minimal setup… just a few environment variables! After walking through the chat app, you’ll have a taste of how to implement comprehensive monitoring for your Shiny applications in production, enabling you to proactively identify and resolve unexpected performance issues. Materials - https://github.com/schloerke/presentation-2025-09-17-posit-conf-otel posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Barret Schloerke

Data Science

Plotgardener Genomic Data Visualization Made Easy (Rishabh Sharma Vemuri & Abiye Berhanu)

Multiple Console Sessions in Positron (Dhruvi Sompura, Posit) | posit::conf(2025)

Making the most of artificial and human intelligence for data science (Hadley Wickham, Joe Cheng)

Making Ecological Modelling Accesible with EcoCommons (Jenna Wraith, QCIF) | posit::conf(2025)

Make Big Geospatial Data Accessible with Arrow (Cari Gostic, Sonoma Technology) | posit::conf(2025)

maidr: Empowering Accessible, Multimodal Data Visualizations (JooYoung Seo) | posit::conf(2025)

It’s all fun and games til your analysis code is finished (Alex Rossell Hayes) | posit::conf(2025)

Integrating AI, Data Science Platforms, and Psychological Safety (Chris Engelhardt, Gen Re)

How I got unstuck with Python (Julia Silge, Posit) | posit::conf(2025)

History repeats itself: What the Du Bois Challenge taught me about reproducing design (Simi Ndaba)

Hacking Productivity with LLMs (Nic Crane, NC Data Labs) | posit::conf(2025)

From SDKs to Agents: Building with R and Python on Databricks (Rafi Kurlansik & Zac Davies)

From Data to Dollars: Improving Medical Billing Accuracy Using NLP (Julianne Gent, Emory Healthcare)

Failure (and Mistakes) (Laura Gast, USO) | posit::conf(2025)

Extending the horizons of R with Rust (Andrés Quintero, ixpantia) | posit::conf(2025)

Elevating Public Health Decision-Making with R Packages (Kylie Ainslie, RIVM) | posit::conf(2025)

Election Night Reporting Using R & Quarto (Andrew Heiss & Gabe Osterhout) | posit::conf(2025)

Disposable Shiny Apps (James Wade, Dow) | posit::conf(2025)

Demystifying MLOps with Vetiver (Myles Mitchell, Jumping Rivers) | posit::conf(2025)

Data-as-a-product: A framework for collaborative data wrangling (Clara Amorosi, BMS) | posit::conf

Data Science in Production Has Never Been So Easy | Feat: Posit Connect (Adam Wang)

Data 911: how Posit can support decision-makers in times of environmental crisis (Marcus Beck)

Championing modern science workflows to benefit dairy farmers (Mark Neal, DairyNZ)

Can I trust that package? (Colin S Gillespie, Jumping Rivers) | posit::conf(2025)

Building Multilingual Data Science Teams (Michael Thomas, Ketchbrook Analytics) | posit::conf(2025)

Building Agentic AI applications with Positron and AWS Strands Agents (Greg Headley & Shun Mao, AWS)

Building a Real-Time COVID-19 Surveillance System with R (Hugo Fitipaldi, Lund University)

Bold indicates negative? (Luis D. Verde Arregoitia, Instituto De Ecología, A.c.) | posit::conf(2025)

Automating for Consistency (Kristin Mussar, Pfizer) | posit::conf(2025)

AI missteps as stepping stones (Ryan Timpe, The LEGO Group) | posit::conf(2025)

Advancing Epigenetic Predictors with Scalable Machine Learning (Varun Dwaraka) | posit::conf(2025)

A tale of one organization: learning how to swim in the ocean of open source (Katerina Gapanenko)

What we’re doing to make Quarto fast(er) (Carlos Scheidegger, Posit) | posit::conf(2025)

Web applications with Shiny and React and AI (Winston Chang, Posit) | posit::conf(2025)

Using Quarto to Improve Formatting/Automate the Generation of Hundreds of Reports (Keaton Wilson)

Use Your Data Skills for Good (Sharon Machlis) | posit::conf(2025)

Trust, but Verify: Lessons from Deploying LLMs in a Large Health System (Timothy Keyes)

Tips & tricks from the maintainers of Positron (Sharon Wang & Melissa Barca) | posit::conf(2025)

There’s a new Plumber in town (Thomas Lin Pedersen, Posit) | posit::conf(2025)

The Curse of Documentation (Michael Chow, Posit) | posit::conf(2025)

Teaching data visualization with R entirely in Quarto (Claus Wilke, UT Austin) | posit::conf(2025)

Teaching Data Sharing through R Data Packages (Kelly McConville, Bucknell) | posit::conf(2025)

surveydown (John Paul Helveston, GWU) | posit::conf(2025)

Shinystate (Eric Nantz, Eli Lilly) | posit::conf(2025)

shinyGovStyle- accessible gov design in RShiny (Cameron Race & Sarah Wong-Brown) | posit::conf(2025)

Semantic Search for the Rest of Us with DuckDB (Marcos Huerta, Carmax) | posit::conf(2025)

Positron for Babies: Communicating Technical Concepts to all Audiences (Ryan Johnson)

Outgrowing Your Laptop with Positron (Austin Dickey, Posit) | posit::conf(2025)

Oops! I accidentally made a production dashboard (Jonathan Keane, Posit) | posit::conf(2025)

On Teaching Adults to Code (Kristin Bott, Posit) | posit::conf(2025)

Old Apps, New Tricks: How AI can write Automated Tests for your Shiny Apps (Karan Gathani, Posit)

Observability at scale (Barret Schloerke, Posit) | posit::conf(2025)

Modular, layout-as-code approach for customizable Shiny dashboards (Kim Schouten, De NZa)

Making Things Nice in Python (Rich Iannone, Posit) | posit::conf(2025)

Lift Off! Building REST APIs that Fly (Joe Kirincic, RESTORE-Skills) | posit::conf(2025)

Leveraging LLMs for student feedback in introductory data science courses (Mine Çetinkaya-Rundel)

Keeping Data Alive: Persistent Storage Options for Dynamic Cloud Applications (Alex Chisholm, Posit)

Is that LLM feature any good? (Simon P. Couch, Posit) | posit::conf(2025)

Instant Impact: Developing {docorator} to Simplify R Adoption for Teams (Becca Krouse, GSK)

IDE-ntity Crisis: Choosing the Right Tool for Me (Isabel Zimmerman, Posit) | posit::conf(2025)

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