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 VIDEOS 

 Conference Talk Recordings 

 10 years of recordings from our past conferences.
Check out the Lander Analytics YouTube Channel for 450+ videos.

2024 Government & Public Sector R Conference
October 29th & 30th, 2024

William E. J. Doane - Text Explorer
20:30
Selen Stromgren & Evgeny Kiselev - Harnessing NLP in R to Create the Concept of Ops for a Large Orgs
22:11
Abigail Haddad - Finding Your Next Federal Data Job
19:20
Mikaela Meyer - Slowly Scaling Per-Record Differential Privacy
16:42
Will Angel - Wrangling Data with DuckDB
19:01
Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl
21:07
Benjy Braun - Falling for the Exception: Understanding and Avoiding the Base Rate Fallacy
14:24
Marck Vaisman - R and Python - A Love Story
23:17

2024 New York R Conference
May 16th & 17th, 2024

Megan Robertson - Not Your College Stats Course: Engaging Stakeholders Through Data Science
20:55
Chang She - Building Data Tooling in Rust for Multimodal AI
20:56
Mike Band - Open-Source Football: A Brief History of the NFL's Big Data Bowl Competition
17:42
Emily Zabor - Reporting Survival Analysis Results with the gtsummary and ggsurvfit Packages
18:19
Jared Lander - 15 Years of Data Science in NYC
18:54
Ipek Ensari -Smooths, Splines, and the Chamber of Secrets - Demystifying Female Reproductive Health
21:02
Sean Taylor - Analyzing and Visualizing Event Sequence Data
20:35
Andrew Gelman - It’s About Time
40:59

2023 Government & Public Sector R Conference
October 19th & 20th, 2023

Irena Papst - From Scripts to Pipelines with Targets
21:53
Gary Harki - Using Open Records Laws to get Data from the Government (and When to Sue)
19:38
Jon Schwabish -What Not to do in Data Visualization: A Walk through the Bad DataViz Hall of Shame
20:57
Abigail Haddad - What Job Is This, Anyway?: Using LLMs to Classify USAJobs Data Scientist Listings
17:23
Jared P. Lander - Mapping Big Data
21:07
Soubhik Barari - LocalView: Scaling up the Analytics of Local Politics with R
18:15
David Shor - Data, Surveys, and US Politics
18:23
Alex Gold - Learn to Love Logging
19:35

2023 New York R Conference
July 13th & 14th, 2023

Emil Hvitfeldt - Slidecraft: The Art of Creating Pretty Presentations
20:38
Matt Dupree - OpenAI's Embeddings are Cooler than ChatGPT: An Intro to using OpenAI's Embeddings API
20:15
Jessica Duncan - Give Credit Where Credit Is Due: Data-Driven Apch. to Marketing Channel Attribution
17:31
Mitchell O'Hara-Wild - From Forecast to Fable, Design Decisions for Statistical Software
20:22
Jared P. Lander - Building an R Package with LLMs
20:32
Daniel Chen - Moving to Quarto from RMarkdown and Python Jupyter Notebooks
20:28
Mike Band - The Many Models in Production at NFL Next Gen Stats
21:05
Bob Rudis - Into the WebR-Verse
21:02

2022 Government & Public Sector R Conference
December 1st & 2nd, 2022

Shirley Han - Using Quarto to Write and Update Reports
18:53
David Meza - The RStudio Ecosystem as a Critical Part of NASA Analytics Capabilities
20:31
Refael Lav - Global Workforce Modeling at USAID
20:14
Asmae Toumi - Using Data and R to Deliver Evidence-Based Care for the Opioid Crisis
18:44
Jared Lander - Deploying R in a Secure Environment
20:01
Danielle Larese & Selen Stromgren - Finding Waldo- Transformation of Unwieldy Data into Infor with R
15:37
Marck Vaisman - Leaping from Your Workstation to Production
21:59
David Shor - Data and American Politics
19:20

2022 New York R Conference
June 9th & 10th, 2022

Jeroen Janssens - R and Raylib: All Fun and Games‽
12:39
Malorie Hughes - The Anatomy of a Plot: From gg to highcharter
20:34
Mike Band - The Many Ways to Create a Composite Score in Sports & Beyond
20:54
Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues
16:41
Jared Lander - Using R for GIS and Mapping
20:09
Daniel Chen- Combining Analysis Work w/ Reports & Presentations What I Would Change About My Dissert
21:19
Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn
19:42
Andrew Gelman- When You do Applied Statistics, You're Acting Like a Scientist. Why Does this matter?
41:00

2021 Government & Public Sector R Conference
December 9th & 10th, 2021

Aaron Mannes - Big Data @DHS: Vast and Varied
17:16
Jordan Jasuta Fischer - Ensemble NLP to classify medical conditions
16:32
Cezary Podkul - “Data or it didn’t happen": How to make data-driven news stories happen
25:30
Coline Zeballos - Ensuring the quality of your R packages for regulatory submissions
19:36
Jared P. Lander - Using {targets}, {arrow}, Docker, Postgres and the Command Line for Medium Data
23:02
Asmae Toumi - Using data and R to improve substance use disorder care: the startup experience
20:17
Brook Frye & Ben Witte - Data and Decision Making in the Legislative Process
21:22
David Shor - Bayesian statistics, government, and the 2020 election
19:32

2021 New York R Conference
September 9th & 10th, 2021

Megan Robertson - Creating Production Level Data Science Code
22:09
Jeroen Janssens - Set your R code free; turn it into a command-line tool
15:17
Danielle Oberdier - How to Write Engaging R Tutorials
17:01
Alexa Fredston - R for the Planet
18:15
Jared Lander - GPU Computing in R
23:32
Daniel Chen - Learner Personas for Domain-Specific Data Science Educational Materials
24:56
Caitlin Hudon - Impacting Churn with Data
21:19
Mike Band - Go or Kick? Enhancing the NFL Fan Experience with Real-Time 4th Down Decision Analytics
17:40

2020 Government & Public Sector R Conference
December 3rd & 4th, 2020

Gwynn Sturdevant - FasteR Code: Vectorizing Computations in R
21:19
Mike Jadoo - Creating Tornqvist Index in R for Production
22:30
David Meza - Developing a Knowledge Graph of your Knowledge, Skills, Abilities, Tasks and Training
23:41
Maxine Drake - Modeling COVID-19 on a DoD Network
19:43
Jared P. Lander - Taking R From Hours to Seconds
23:08
Daniel Chen - Learning Tidy Evaluation by Reimplementing dplyr
21:57
Col Alfredo Corbett - Air Combat Command Enterprise Data Improvements
20:50
Andrew Gelman - Election Forecasting
24:38

2020 New York R Conference
August 14th & 15th, 2020

Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}
22:28
Dr. Adam Obeng - Adaptive Experimentation
18:16
Ludmila Janda - Using R to Better Understand R-Ladies NYC
18:52
Emily Robinson - {funneljoin}: Defining a Tidy Grammar on Funnels in R
16:42
Jared P. Lander - Finding the Tallest Tree: Comparing Decision Tree, Random Forest & Boosted Tree
21:28
Daniel Chen - Grading Code with gradethis
21:52
Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch
26:02
Andrew Gelman - Truly Open Science: From Design and Data Collection to Analysis and Decision Making
44:59

2019 Government & Public Sector R Conference
November 8th & 9th, 2019

Refael Lav - R Cloud and Google – Practical Tools for Data Science, NLP, API, and Maps
19:51
Samantha Tyner - Pagedown: in HTML We Trust
16:42
Tommy Jones -  Optimizing Topic Models for Classification Tasks
20:09
Emily Robinson - funneljoin: Defining a Tidy Grammar of Funnels in R
17:07
Jared Lander - Raising Baby with R
17:45
Daniel Chen - R and Python Coexisting in the Same Development Environment
19:49
Marck Vaisman - Managing Your Cloud: Working with APIs
20:49
Marlorie Hughes - Dashboarding Like a Boss
21:04

2019 New York R Conference
May 10th & 11th, 2019

Ludmila Janda - Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks
16:26
Mike Band - The Football Analytics Tipping Point: How Player Tracking Technology is Changing the NFL
20:03
Emily Dodwell -  From Tangled Lassos to Boosted Trees: Iterative Research in Practice
17:49
Emily Robinson -  Everything You Wanted to Know About Making R Packages but Were Afraid to Ask
20:14
Jared P. Lander - R: Then and Now
19:46
Daniel Chen -  Building Reproducible and Replicable Projects
20:39
Krista Watts -  Using Statistical Methods to Estimate Coefficients in Allometric Models
19:37
Andrew Gelman -  Solve All Your Statistics Problems Using P-Values
45:56

2018 Government & Public Sector R Conference
November 8th & 9th, 2018

Refael Lav - Practical R - R as LEGO to Solve Real Problems
16:39
Soumya Kalra - My Open Source Journey in R\Finance
13:56
Michael Powell - Democratizing Data Science: Using R for End-to-End Intelligence Production
20:42
Emily Robinson - Building an A/B Testing Analytics System with R and Shiny
21:17
Jared P. Lander - Many Ways to Lasso
21:26
Daniel Chen - Structuring Your Data Science Projects
20:41
Marck Vaisman - gg-what?: A Look at the ggplot Ecosystem
21:10
Catherine Zhou - Anomaly Detection With Time Series Data: How to Know if Something is Terribly Wrong
14:18

2018 New York R Conference
April 19th & 20th, 2018

Sandy Griffith - Accelerating Cancer Research with R
22:23
Eurry Kim - Skin First, Makeup Second: A Metaphor for Data Science
19:04
Marck Vaisman - R for Big Data in the Cloud
20:28
Emily Robinson - The Lesser Known Stars of the Tidyverse
18:04
Jared Lander - Deep Learning vs Machine Learning in R
19:54
Daniel Chen - Doing Data Science
20:58
Sean Taylor - Forecasting at Scale: How and Why We Developed Prophet for Forecasting at Facebook
20:28
Noam Ross  - The Modern R Data Package
21:45

2017 New York R Conference
April 21st & 22nd, 2017

How R Helps Airbnb Make the Most of Its Data
15:25
Fine Grained Visual Category Recognition and Perceptual Embedding
20:00
An R Cloud Computing Lifeline: The Missing Manual for Running R on Amazon Cloud
16:09
R Makes the World Go ‘Round: Data Driven Decision Making at JetBlue
20:33
Fun with R
19:08
So You Want to be a Data Scientist?
20:21
We R What We Ask: The Landscape of R Users on Stack Overflow
19:51
Theoretical Statistics is the Theory of Applied Statistics: How to Think About What We Do
39:06

2016 New York R Conference
April 8th & 9th, 2016

Scaling Data Science at Airbnb
22:26
Improving Data Interoperability for Python and R
20:03
RCloud - Collaborative Environment for Visualization and Big Data Analytics
40:39
Gadgets, Addins, and HTML Templates
21:08
Using R at NYT Graphics
12:59
An Economic Research Platform using R, Semantic Technologies, and Lambda Architecture
21:57
Testing Your Data and Code in R
19:20
High-Performance Python
20:44

2015 New York R Conference
April 24th & 25th, 2015

But When You Call Me Bayesian, I Know I’m Not the Only One
43:42
The Data Perspective
19:51
Engagement & Reality
19:56
Reproducible Analysis in Production: Lessons from Etsy
20:12
htmlwidgets
28:37
Making R Go Faster and Bigger
20:09
Storytelling with Data Visualizations
22:18
Visual NYC
21:26
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