satRdays / chicago2019-slides

Speaker slides and materials for SatRday Chicago 2019

chicago2019-slides

Speaker slides and materials for SatRday Chicago 2019. You can find the schedule of the day on our website.

Find our livestreamed talks on the SatRdays YouTube (around half of all talks, includes keynotes)!

Materials for talks

More materials will be posted as they are available. Submit a pull request with your materials if you so wish!

Keynotes

• Stephanie Kirmer: What Data Science Can Learn From Sociology
• JD Long: Models, Mistakes, and Mayhem

Session 1: Academic/Civic Appplications

• Chase Clark: Bioinformatics in R, The Quick and Easy...and the Not So Quick and Easy
• Bryan Berend: Applying Empirial Bayesian Techniques to Illinois Traffic Stop Data
• Irene Farah: Spatial Point Pattern Analysis of Retail Businesses

Session 1: Industry Applications (recorded)

• Peter Cooman: Correcting Bias in Customer Acquisition Models
• Adam Austin: An Analytic Culture Starter Kit
• Annie Wang: A 5-minute tour of mortality rates
• Brett Kobold: Creating Fuller Maps With R: Filling in the Missing Values

Session 2: Reproducibility and Workflow Enhancement

• Brian Burns: Recursive Package Dependencies: Unraveling a Tangled Web
• Patrick Miller: No More "Works for Me": Why, When, and How to Use Docker with R
• Adam Lyon: Making C++ Run Better with R

Session 2: Building Data Tools (Lightning Talk Round!) (recorded)

• David Thomas and Aaron Hawn: Shiny Apps for Non-R Users
• Jane Berkowitz: If you can write code, you can build a package!
• Anh Tran: Writing a (very niche) R package for reproducible data analysis from a public dataset
• Ray Buhr: Microservices in R
• James Lamb: People Shape Software
• Jay Qi: Level Up Your Package's Roxygen Documentation

Session 3: Statistical Methods

• Bill Seliger: LP, IP, and MIP Optimization in R
• Sushmita V Gopalan: Machine Learning with Class Imbalance
• Justin M. Shea: Try BLIS: A Framework for Rapidly Instantiating BLAS Functionality

Session 3: Community Building (recorded)

• James Lamb: You Can Do Open Source!
• Angela Li: Teaching Reproducible Spatial Analysis in R

Session 4: Infrastructure

• Alexandra Mangold: Connecting teams and systems with R
• Parfait Gasana: Leveraging Relational Databases in R
• Kelly O'Briant: Championing Analytic Infrastructure: An R User's Journey Into Linux

Session 4: Data Wrangling, Visualization, and Applications (Lightning Talk Round!) (recorded)

• Will Bonnell: Visualizing Uncertainty in R
• TJ Mahr: bayesplot: Diagnostic Plots for Bayes Models
• Jorge Argueta: Web Scraping, Sentiment Analysis, and Clustering
• Kristen Van Tine: Psychometrics with the Psych Package
• Kate Webbink: Misadventures in Biodiversity Data