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 2017.
Stay tuned for details!

Schedule

Day 1 TBD Speaker TBD
Day 2 TBD Speaker TBD
Day 3 TBD Speaker TBD
Day 4 TBD Speaker TBD
Day 5 TBD Speaker TBD
To get an idea of the content, you can check out the recorded lectures from 2015 and 2016 or the lecture materials (also for 2015 and 2016) on github.

Live Stream

During the week, morning lectures will be live-streamed on YouTube. Follow us on twitter for updates. You can tweet us questions or general comments with hashtag #AstroHackWeek. Stay tuned for the 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.

Travel and Lodging

More information coming soon!

Organizers

This year's event is being organized by

Sponsors

Astro Hack Week is a part of the Moore-Sloan Data Science Environments at University of California Berkeley, New York University, and the University of Washington. It is made possible by the following sponsors:

Announcement

Dear colleagues,

We are pleased to announce the fourth Astro Hack Week! The 2017 edition will be held at the University of Washington in Seattle, from August 28 to September 1, 2017. 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.

Please mark your calendars! Applications are now open, and the application deadline is May 31. 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. There are no formal prerequisites. Participants will learn the theoretical foundation of, and practical knowledge in, statistical and machine learning methods crucial to modern astronomical data analysis. We welcome participants to bring their own research 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.

For more information, and a link to the application form, please see our website at http://astrohackweek.org.

We hope to see you in Seattle in August! Please forward this announcement to anyone who may be interested.

Sincerely, the Astro Hack Week organizing committee:

Lauren Anderson,
Kyle Barbary,
David W. Hogg,
Daniela Huppenkothen,
Phil Marshall,
Meredith Rawls,
Jake VanderPlas

astrohackweek@gmail.com