New York
About - New York
Speakers - New York
Workshops - New York
Agenda - New York
Accommodations - New York
Sponsors - New York
Government & Public Sector
About - Gov
Speakers - Gov
Workshops - Gov
Agenda - Gov
Sponsors - Gov
Dublin
Videos
NYR 2015
NYR 2016
NYR 2017
NYR 2018
DCR 2018
NYR 2019
DCR 2019
NYR 2020
R Gov 2020
NYR 2021
R Gov 2021
Code of Conduct
Job Board
Art Auction
Tickets
Aaron Mannes - Big Data @DHS: Vast and Varied
Jordan Jasuta Fischer - Ensemble NLP to classify medical conditions
Cezary Podkul - “Data or it didn’t happen": How to make data-driven news stories happen
Coline Zeballos - Ensuring the quality of your R packages for regulatory submissions
Jared P. Lander - Using {targets}, {arrow}, Docker, Postgres and the Command Line for Medium Data
Asmae Toumi - Using data and R to improve substance use disorder care: the startup experience
Brook Frye & Ben Witte - Data and Decision Making in the Legislative Process
David Shor - Bayesian statistics, government, and the 2020 election
Alex Gold - Reliably Reproducible R-Tifacts
Wendy Martinez - The Journey Continues: Using R at a U.S. Government Agency
Marck Vaisman - Creating and Managing Your University Course with R
Lauren Lombardo - Building Government Platforms
Madhava Jay - PETs: Remote Data Science Unleashed
Tommy Jones - tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Surabhi Hodigere - Governance Playbook for Digital Public Goods
Jasmine Ye Han - A Data Journalist’s R Toolbox
Jorge Luna - Hospital analytics approaches to help inform strategies to reduce 30-day readmissions
Vivian Peng - Building Blocks of Design
Boriana P. Pratt - Running simulations in Parallel in R with doParallel package
Mayari Montes de Oca - What works to support refugee children? Using BART for impact evaluation
Benjy Braun - We can’t help if we can’t communicate: Conveying data science findings to non-experts
Abhijit Dasgupta - Multilingual pipelines for data analyses: R as glue
Sydney Coston - Using R Shiny to visualize stem cell treatment data over time
Cite
×