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Conferences / posit::conf (formerly rstudio::conf)

rstudio::conf 2019

Jan 15–18, 2019 · Fairmont Austin, Austin, TX, United States

Conference
posit::conf (formerly rstudio::conf) Data science & ML
Dates
Jan 15, 2019 – Jan 18, 2019
Venue
Fairmont Austin
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
1,800
rstudio-conf GitHub repo README: 'Over 1,800 advanced and new R users joined us in Austin, Texas'.
Website
rstudio.com
Recorded
0 sponsors · 68 speaker appearances
Notes
Training days (workshops) Jan 15-16, conference Jan 17-18. Speakers from the official session list in the rstudio/rstudio-conf GitHub repo (talks and keynotes; workshops not listed). Affiliations come from the Oct 2018 Cvent speakers page where the speaker appears there (mostly invited speakers); most contributed speakers' affiliations are null because no archived schedule shows them. Videos matched from Posit's 'rstudio::conf()' YouTube playlist. Price: only the industry conference-only price reported by Jumping Rivers was found; early-bird/workshop amounts not archived. Sponsors not found.

Ticket prices

TicketPriceValid untilNotesSource
Conference only (industry)$795—Jumping Rivers 'R Conference Costs v2.0' comparison: industry ticket, conference only, 2 days.blog.jumpingrivers.com

Sponsors 0

No sponsors recorded

Speakers and talks 68

SpeakerCompanyRoleTalkLinks
David RobinsonDataCampKeynoteThe unreasonable effectiveness of public workSlidesVideo
FelienneUniversiteit LeidenKeynoteExplicit Direct Instruction in Programming EducationVideo
Joe ChengRStudioKeynoteShiny in production: Principles, practices, and toolsSlidesVideo
Alan DipertRStudioSpeakerIntegrating React.js and ShinyVideo
Alex Hayes—SpeakerSolving the model representation problem with broomSlidesVideo
Amanda GadrowRStudioSpeakerGetting it right: Writing reliable and maintainable R codeVideo
Amelia McNamaraUniversity of St. ThomasSpeakerWorking with categorical data in R without losing your mindSlidesVideo
Angela BassaiRobotSpeakerData science as a team sportSlidesVideo
Barret Schloerke—SpeakerReactlog 2.0: Debugging the state of ShinySlidesVideo
Brooke WatsonACLUSpeakerR at the ACLU: joining tables to reunite familiesVideo
Caitlin Hudon—SpeakerLearning from Eight Years of Data Science MistakesVideo
Carl HoweRStudioSpeakerThe next million R usersSlidesVideo
Claus Wilke—SpeakerVisualizing uncertainty with hypothetical outcomes plotsSlidesVideo
Darby Hadley—SpeakerRStudio Job Launcher: Changing where we run R stuffVideo
Earo Wang—SpeakerMelt the clock: Tidy time series analysisSlidesVideo
Edgar RuizRStudioSpeakerDatabases using R: The latestSlidesVideo
Edzer Pebesma—SpeakerSpatial data science in the TidyverseSlidesVideo
Emily Robinson—SpeakerBuilding an A/B Testing Analytics System with R + ShinySlidesVideo
Eric Nantz—SpeakerEffective use of Shiny modules in application developmentSlidesVideo
Etienne Racine—SpeakerSpatial data science in the TidyverseSlidesVideo
Gábor CsárdiRStudioSpeakerpkgman: a fresh approach to package installationVideo
Garrett GrolemundRStudioSpeakerR Markdown: The bigger pictureSlidesVideo
Hadley WickhamRStudioSpeakervctrs: tools for making size and type consistent functionsVideo
Hao Zhu—SpeakerEmpowering a data team with RStudio addinsSlidesVideo
Heather NolisT-MobileSpeakerPush straight to prod: API development with R and Tensorflow at T-MobileSlides
Hilary Parker—SpeakerCultivating creativity in data workSlidesVideo
Hunter Glanz—SpeakerIntroductory statistics with R: Easing the transition to software for beginner studentsSlides
Ian Fellows—SpeakerIntroducing ipc for ShinyVideo
Irene Steves—SpeakerTeaching data science with puzzlesSlidesVideo
Jacqueline NolisT-MobileSpeakerPush straight to prod: API development with R and Tensorflow at T-MobileSlides
James (JD) Long—SpeakerPutting empathy in action: Building a `community of practice' for analytics in a global corporationSlides
James BlairRStudioSpeakerDemocratizing R with Plumber APIsSlidesVideo
Javier LuraschiRStudioSpeakerScaling R with SparkVideo
Jeff AllenRStudioSpeakerRStudio Connect: Past, Present, and FutureSlidesVideo
Jeffrey Arnold—SpeakerSolving R for Data ScienceSlidesVideo
Jenny BryanRStudioSpeakerTidy eval in contextSlides
Jeroen Ooms—SpeakerA preview of Rtools 4.0SlidesVideo
Jesse Mostipak—SpeakerR4DS online learning communityVideo
Jesse Sadler—SpeakerLearning and using the tidyverse for historical researchSlidesVideo
Jim HesterRStudioSpeakerIt depends: A dialog about dependenciesSlidesVideo
Jonathan McPhersonRStudioSpeakerNew Language Features in RStudio 1.2Video
Joseph RickertRStudioSpeakerR Consortium Initiatives in MedicineVideo
Kara WooSage BionetworksSpeakerBox plots: A case study in debugging and perseveranceSlidesVideo
Karl BromanUniversity of Wisconsin-MadisonSpeakerR/qtl2: Rewrite of a very old R packageSlidesVideo
Karthik RamUC BerkeleySpeakerA guide to modern reproducible data science with RSlidesVideo
Kelly Nicole Bodwin—SpeakerIntroductory statistics with R: Easing the transition to software for beginner studentsSlides
Kelly O’BriantRStudioSpeakerConfiguration Management Tools for the R AdminVideo
Kevin KuoRStudioSpeakerIntroducing mlflowVideo
Lionel Henry—SpeakerWorking with names and expressions in your tidy eval codeSlidesVideo
Mark SellorsMango SolutionsSpeakerR in ProductionSlidesVideo
Mary RudisPenn State HarrisburgSpeakerCatching the R wave: How R and RStudio are revolutionizing statistics education in community collegesSlides
Matt Dancho—SpeakerUsing R, the Tidyverse, H2O, and Shiny to Reduce Employee AttritionVideo
Max KuhnRStudioSpeakerparsnip - a tidy model interfaceVideo
Mel GregoryRStudioSpeakerRStudio Cloud for EducationVideo
Michael Sumner—SpeakerSpatial data science in the TidyverseSlidesVideo
Mike K Smith—SpeakerThe lazy and easily distracted report writer: Using rmarkdown and parameterized reportsSlides
Miles McBainCSIRO Data61SpeakerOur colour of magic: The open sourcery of fantastic R packagesSlidesVideo
Nic Crane—SpeakerThe Future's Shiny: Dashboards for Pioneering Genomic Medicine in RSlidesVideo
Rich Iannone—SpeakerIntroducing the gt packageSlidesVideo
Sean LoppRStudioSpeakerRStudio Package ManagerSlides
Sigrid KeydanaRStudioSpeakerWhy TensorFlow eager execution mattersSlidesVideo
Tareef KawafRStudioSpeakerWelcome + RStudio Vision—
Thomas Lin Pedersen—Speakergganimate live cookbookSlidesVideo
Tonya Filz—SpeakerThe Resilient R ChampionVideo
Tracy Teal—SpeakerTeaching R using inclusive pedagogy: Practices and lessons learned from over 700 Carpentries workshopsSlides
Tyler Morgan-Wall—Speaker3D mapping, plotting, and printing with rayshaderVideo
Wes McKinneyUrsa LabsSpeakerUrsa Labs and Apache Arrow in 2019Video
Yihui XieRStudioSpeakerpagedown: Creating beautiful PDFs with R Markdown and CSSSlidesVideo

Sources