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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

Speakers and talks 29

SpeakerCompanyRoleTalkLinks
Andrew WallenderBloombergTalkHow to Interrogate Data Like a JournalistSlidesVideo
Ayanthi Gunawardana1-800-FLOWERS.COM, IncTalkCaRtography: Creating Accurate and Beautiful Maps in RSlidesVideo
Bob RudisGreyNoise IntelligenceTalkInto the WebR-VerseSlidesVideo
Caitlin HudonFigmaTalkHow to Make Decisions with DataVideo
Caterina ConstantinescuGlobalLogicTalkDeconstructing LLM Use: Key Considerations to Deliver Custom SolutionsSlidesVideo
Chris Wiggins—PodcastSuperDataScience Podcast LiveVideo
Chrys WuMatchstrikeTalkHow to Win Friends and Influence Product ManagersSlidesVideo
Daniel ChenUniversity of British Columbia & Lander AnalyticsTalkMoving to Quarto from RMarkdown and Python Jupyter NotebooksSlidesVideo
Emil HvitfeldtPositTalkSlidecraft: The Art of Creating Pretty PresentationsVideo
Emily RiedererCapital OneTalkColumn Names as Contracts - Inspired by dplyr, Available in dbtSlidesVideo
George PerrettNew York UniversityTalkBayesian BoostingSlidesVideo
Hamdan AzharPRISMOJITalkAn Ode to Permissionless Data ScienceSlidesVideo
Jared P. LanderLander AnalyticsTalkBuilding an R Package with LLMsSlidesVideo
Jessica DuncanGreenlightTalkGive Credit Where Credit Is Due: Data-Driven Approach to Marketing Channel AttributionSlidesVideo
Jon Krohn—PodcastSuperDataScience Podcast LiveVideo
Jonah Gabry—WorkshopWorkshop: Bayesian Data Analysis and Stan—
Lucy D'Agostino McGowan—WorkshopWorkshop: Causal Inference in R—
Malcolm Barrett—WorkshopWorkshop: Causal Inference in R—
Matt DupreeEXORVATalkOpenAI's Embeddings are Cooler than ChatGPT: An Intro to using OpenAI's Embeddings APIVideo
Max KuhnPositWorkshopWorkshop: Machine Learning in R—
Max KuhnPositTalkThe Post-Modeling Model to Fix the ModelVideo
Mike BandNFLTalkThe Many Models in Production at NFL Next Gen StatsSlidesVideo
Mitchell O'Hara-WildNectricTalkFrom Forecast to Fable, Design Decisions for Statistical SoftwareSlidesVideo
Mitchell O'Hara-WildNectricWorkshopWorkshop: Tidy Time Series and Forecasting in R—
Molly HuieBloombergTalkHow to Interrogate Data Like a JournalistSlidesVideo
Rick SaportaEnteraTalkData Product Management for Data Science: How to Answer Every Team's Most Important QuestionVideo
Ryan KleinContinental ResourcesTalkUsing Plumber to Expose Models In ExcelSlidesVideo
Saar GoldeViaTalkEvaluating Microtransit's Impact on Congestion—
Wes McKinneyVoltron DataTalkLeveling Up the Data Stack: Thoughts on the Last 15 YearsVideo

Sources