A scientist explaining on a white board to a group of workshop participants sitting on chairs or the floor, with laptops.

Summer School

AstroHackWeek is, in part, a summer school. The mornings will offer lectures and exercises covering essential skills for working effectively with large astronomical datasets. Past years have seen topics such as machine learning, Bayesian inference, frequentist statistics, databases, numerical Python, and visualization. Check out last year's recorded lectures.

Two scientists both looking at a laptop displaying computer code and a scientific graph showing scattered points, with one scientist pointing at the graph.

Unconference & Hackathon

AstroHackWeek is also an unconference and hackathon. The afternoon every day is entirely unstructured, and offers opportunities for collaborative research, breakout sessions on special topics, and application of the concepts covered during the morning sessions. Come with a project in mind, join someone else's or apply a new skill to an old problem.

(Past) Lecturers

Below is the line-up of tutorial lecturers in our previous conferences.
We anticipate a similar set of high-profile speakers for AstroHackWeek 2020.
Stay tuned for details!

Code of Conduct

During Astro Hack Week, we require participants to follow the code of conduct for the workshop which can be found on our code of conduct page. If you have any questions about the workshop, you can reach the organizing committee at astrohackweek@gmail.com.

Organizers

This year's event is being organized by