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 recorded lectures from previous years.

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 a subset of tutorial lecturers from 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.


This year's event is being organized by


Dear colleagues,

Applications are open for the seventh Astro Hack Week! The 2020 edition will be held at the Flatiron Institute in New York, USA, from August 31 to September 4, 2020. All scientists, including graduate students, senior undergraduates, faculty, postdocs, as well as anyone whose work relates to astronomy outside academia, are invited to apply to attend. We aim to select a diverse set of participants who span astronomy, adjacent fields like physics and methodological fields like statistics and machine learning, as well as the full range of novices to experts in data science-related topics.

Due to the interactive nature of the workshop and our space constraints, we expect to cap attendance at approximately 50 people. Astro Hack Week is a mixture of data analysis summer school and unconference-enabled collaborative research, with about 35% of the workshop dedicated to tutorials, and the rest to open project work. There are no formal prerequisites.

During tutorials, participants will learn practical skills in data science-related topics including statistical and machine learning methods crucial to modern astronomical data analysis. We welcome participants to bring their own research and development projects with them; Astro Hack Week is a great place to apply new skills and methods, and work with others to move these projects forward. It is also an opportunity to work on something new, and we encourage participants to apply their technical knowledge to outstanding problems in the astronomical community.

One of the goals of Astro Hack Week is to improve the inclusion and participation of researchers from underrepresented backgrounds in data-intensive astronomy. We are committed to building a positive and supportive environment where all participants can learn and collaborate.

For more information, please see our website at http://astrohackweek.org. The application form is available here, and will be open until April 10. Selected participants will be notified by mid-April.

We hope to see you in New York in August! Please forward this announcement to anyone who may be interested. Email us if you have any questions or concerns: astrohackweek@gmail.com

Sincerely, the Astro Hack Week organizing committee:

Ellianna Abrahams
Lauren Anderson
Daniela Huppenkothen
Andrei Igoshev
Boris Leistedt
Jorge Martínez-Palomera
Brigitta Sipőcz