01 — Getting started

Course outlook and good research practice.


April 10, 2024

Lift off.

Slack channel: #01-getting-started


Welcome to the course “Data Science in International Economics Research”. To get the course up and running, here are a few things to do.

  1. Join the course’s Slack Workspace: datascience2024.slack.com. We’ll use this as our main communication tool.

  2. We strongly recommend you sign up for a free Github student account (if you don’t already have one). This allows you to fork the course repository that contains all reproducible code and even the reproducible environment (more on this just below).1

  3. You’re encouraged to use Visual Studio Code (abbreviated VSCode) in combination with the custom course Docker image to make sure all code runs neatly on “your” machine. You’re of course welcome to use another environment (e.g. RStudio) at your own peril. More on our recommended setup below.

Course repository

The course repository on Github will contain all code that we produce over the course of the semester. It also allows you to fork and contribute. Your forked copy of the repositoy should also be the place where you work on your course project. More on how Git and Github work will be discussed in the lecture.

To sign up for Github, follow instructions here: https://github.com/signup

Lecture slides

Afternoon session slides

Download pdf

Further resources


  1. We will share the code on this website as well, as a fall-back option, but highly recommend you fork the course repository.↩︎

  2. Essentially a Dockerfile is a recipe for a Docker image, which can be run as a Docker container. More on how this works in the lecture.↩︎

  3. More on that in the lecture.↩︎