01_syllabus.qmd

---
title: "Syllabus"
format: 
  html: 
    code-line-numbers: true
    fig-align: "center"
editor_options: 
  chunk_output_type: console
---

![Reggee and Aaron R. Williams](images/aaron-and-reggee.jpeg)

```{r}
#| echo: false

exercise_number <- 1

```


## Background

* Lead Data Scientist for Statistical Computing at the [Urban Institute](https://www.urban.org/)
* Adjunct Professor in the McCourt School of Public Policy at Georgetown University
* American Statistical Association Traveling Course Instructor

## R Projects

* Synthetic data generation ([rstudio::conf(2022) talk about `library(tidysynthesis)`](https://www.youtube.com/watch?v=ai8QU5jJNIw&list=PL9HYL-VRX0oTOwqzVtL_q5T8MNrzn0mdH&index=42))
* Formal privacy/differential privacy evaluation ([code](https://github.com/UI-Research/formal-privacy-comp))  ([arXiv](https://arxiv.org/abs/2110.12055))
* [Projects that iterate with R Markdown](https://www.urban.org/policy-centers/cross-center-initiatives/state-and-local-finance-initiative/projects/state-fiscal-briefs)
* Manage the Urban Institute ggplot2 theme ([Examples](https://urbaninstitute.github.io/r-at-urban/graphics-guide.html)) ([Code](https://github.com/UrbanInstitute/urbnthemes))
* [Urban Institute R Users Group](https://urbaninstitute.github.io/r-at-urban/)

## Questions for You

* What types of analyses do you develop?
* What is your programming experience?
* What are you most interested to learn?

## Outline

**Process**

* Please ask questions at any time.
* I need to know how you are doing. Please ask lots of questions and give your reactions.
* I will check in during breaks about pacing and content.

**Goals**

* Enthusiasm
* Develop a firm foundation with tools for reproducible research
* Leave with enough understanding and resources that you can apply the covered material to your own work
    * You will still need to look stuff up!
    * I will try to give you hints for where to find help