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    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


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