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Conferences / New York R Conference (now The New York Data Science & AI Conference)

R Conference "New York" 2020 (virtual)

Aug 14–15, 2020 · New York, NY, United States Online

Conference
New York R Conference (now The New York Data Science & AI Conference) Data science & ML
Dates
Aug 14, 2020 – Aug 15, 2020
Venue
—
Place
New York, NY, United States
Format
Online
Status
Past
Attendance
—
Website
rstats.ai
Recorded
14 sponsors · 33 speaker appearances
Notes
Sixth NYR and the first virtual one (on Hopin), moved from the originally announced May 7-9, 2020 in-person dates. Virtual workshops Aug 5-6 and 12-13. Speakers/affiliations from the pre-event agenda; titles for Gelman and Dan Chen from the videos page. Catherine Zhou's talk appears only on the videos page (no affiliation given). Prices not archived.

Ticket prices

No ticket prices recorded

Sponsors 14

Platinum 2

Silver 1

Other 11

Speakers and talks 33

SpeakerCompanyRoleTalkLinks
Adam ObengMetaTalkAdaptive ExperimentationVideo
Amanda DobbynDeckWorkshopWorkshop: Web Scraping with rvest and Selenium—
Andreas MuellerMicrosoftWorkshopWorkshop: Machine learning in Python with scikit-learn—
Andrew GelmanColumbia UniversityTalkTruly Open Science: From Design and Data Collection to Analysis and Decision MakingVideo
Brooke Watson MadubuonwuACLUTalkModeling COVID-19 Spread in Jails and Communities, in RVideo
Camelia HssaineCodecademyTalkWhat to do When You Can't A/B Test: Exploring Different Causal Inference MethodsVideo
Catherine Zhou—TalkWhy NYR? Finding You(R) CommunityVideo
Dan ChenVirginia TechTalkGrading Code with gradethisVideo
Dan ChenVirginia TechWorkshopWorkshop: Git for Data Science—
David RobinsonHeapTalkThe {widyr} Package: Calculate Pairwise Correlations, Clustering, and More within a Tidy WorkflowVideo
David RobinsonHeapWorkshopWorkshop: Exploratory Data Analysis with the Tidyverse—
David SmithMicrosoftTalkMLOPS with R: An End-to-End Process for Building Machine Learning ApplicationsVideo
Emily DodwellAT&T Labs ResearchTalkAll the World's A Stage: Elements for Visualization of Multivariate Spatiotemporal Data in RVideo
Emily RobinsonWarby ParkerTalk{funneljoin}: Defining a Tidy Grammar on Funnels in RVideo
Erin LeDellH2O.aiTalkScalable Automatic Machine Learning in RVideo
Heather NolisT-MobileTalkSpeech: The Other, Other NLPVideo
Jacqueline NolisBrightloomTalkWhat I Learned from Porting my Viral Website from .NET to {shiny}Video
Jared P. LanderLander AnalyticsTalkFinding the Tallest Tree: Comparing Decision Tree, Random Forest and Boosted Tree PackagesVideo
Jon KrohnuntaptTalkDeep Learning Battle: TensorFlow 2 vs PyTorchVideo
Jonah GabryColumbia UniversityTalkA New Way to Interface with Stan from RVideo
Kaz SakamotoLander AnalyticsWorkshopWorkshop: Geospatial Statistics and Mapping in R—
Laura GabrysiakVisaTalkRe-Inventing Customer Engagement with Machine LearningVideo
Ludmila JandaAmplify PartnersTalkUsing R to Better Understand R-Ladies NYCVideo
Max KuhnRStudioTalkResampling, Repeated Measures Designs, and YouVideo
Max KuhnRStudioWorkshopWorkshop: Machine Learning in R—
Monica ThieuColumbia UniversityTalkHow to Prepare and Teach an R LessonVideo
Neal RichardsonUrsa LabsTalkSpeeding Up Data Access in R with Apache ArrowVideo
Rob J HyndmanMonash UniversityTalkEnsemble forecasts with fableVideo
Sebastian Teran HidalgoVroomTalkDoubly Robust Estimation of Causal Effects in RVideo
Sonia AngMicrosoftTalkAutomated Machine LearningVideo
Tom MockRStudioTalkHigher, Further, Faster with Marvelous RMarkdownVideo
Vivian PengLander AnalyticsWorkshopWorkshop: Data Visualization with Shiny—
Wes McKinneyUrsa LabsTalkSpeeding Up Data Access in R with Apache ArrowVideo

Sources