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index.qmd
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---
toc: false
---
::: {.grid}
::: {.g-col-12 .g-col-lg-6 .px-5}
![](assets/img/cover-art.svg){fig-align="center"}
::: {layout-ncol=4}
![](assets/img/delphi.jpg)
![](assets/img/cmu.png)
![](assets/img/berkeley.jpg)
![](assets/img/ubc.jpg)
:::
:::
::: {.g-col-12 .g-col-lg-6 .px-5}
## Schedule
In this 2-day workshop, we plan to demonstrate how to use R to load, process,
inspect, and forecast aggregate epi surveillance data. We will be presenting a
few case studies to motivate the entire pipeline from signal discovery to the
production of nowcasts and forecasts.
1. [Day 1 Morning](slides/day1-morning.qmd)
1. [Day 1 Afternoon](slides/day1-afternoon.qmd)
1. [Day 2 Morning](slides/day2-morning.qmd)
1. [Day 2 Afternoon](slides/day2-afternoon.qmd)
## Instructors
* Logan C. Brooks
* Rachel Lobay
* Daniel J. McDonald
* Ryan J. Tibshirani
:::
:::