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