Recent & Upcoming Talks

2021

Let’s get meta: analyzing your R code with tidycode

This talk will cover two R packages: matahari ( https://github.com/jhudsl/matahari) and tidycode ( https://lucymcgowan.github.io/tidycode/). The matahari package is a simple package for tidy logging of everything you type into the R console. The tidycode package allows users to analyze R expressions in a tidy way (i.e. take the code captured from matahari and put it in a tidy table for downstream analysis with the tidyverse).

Designing Randomized Studies using Shiny

This talk will walk through building a self-contained randomized study using Shiny and learnr modules. We will discuss building informed consent, the randomization process, demographic surveys, and R-based studies into a single online framework to allow users to seamlessly enroll and participate in randomized studies via a single URL. The talk will include both practical recommendations as well as technical code snippets.

2020

Causal Inference in R

In both data science and academic research, prediction modeling is often not enough; to answer many questions, we need to approach them causally. In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting. We’ll also show that by distinguishing predictive models from causal models, we can better take advantage of both tools. You’ll be able to use the tools you already know–the tidyverse, regression models, and more–to answer the questions that are important to your work.

December 2, 2020

10:00 AM – 1:00 PM

R in Governement Conference


By Lucy D'Agostino McGowan and Malcolm Barrett in Invited Workshop

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ConTESSA: A Shiny App to Help Quantify Contact Tracing Efficacy

This talk will focus on an application, ConTESSA, along with the accompanying R package, tti, designed to help quantify the efficacy of contact tracing programs. The talk will walk through the technical aspects of the underlying model as well as highlight how R, and in particular shiny, were used to create this product.

Equipping and empowering future data scientists with confidence, intuition, and communication skills

This talk will focus on bringing pedagogical best practices into the data science classroom. We will begin by focusing on building confident coders, followed by an exploration of developing quantitative intuition, with a particular focus on understanding uncertainty. Finally, we will wrap up with tips for empowering strong data science communicators.

October 15, 2020

9:00 AM – 10:00 AM

JupyterCon 2020


By Lucy D'Agostino McGowan in Invited Keynote

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The Ups and Downs of Communicating Complex Statistics

In the age of “big data” there is an information overload. It is increasingly important for people to be able to sift through what is important and what is noise, what is evidence and what is an anecdote. Accordingly, the effective communication of statistical concepts to diverse audiences is currently an education and public health priority. This talk focuses on techniques to strike an appropriate balance, with specifics on how to communicate complex statistical concepts in an engaging manner without sacrificing truth and content, specifically addressing how to help the general public read past headlines to the actual evidence, or lack there of. We will discuss engaging with the public via organizations such as TED Ed - focusing both best practices and lessons learned.

Causal Inference in R

In both data science and academic research, prediction modeling is often not enough; to answer many questions, we need to approach them causally. In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting. We’ll also show that by distinguishing predictive models from causal models, we can better take advantage of both tools. You’ll be able to use the tools you already know–the tidyverse, regression models, and more–to answer the questions that are important to your work.

July 29 – 20, 2020

10:00 AM – 12:00 PM

user!2020


By Lucy D'Agostino McGowan and Malcolm Barrett in Invited Workshop

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