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 Machine Learning Speaker TBD
Day 2 Bayesian Statistics, Deep Learning Speaker TBD
Day 3 Building/Contributing to Open-Source Software Projects Speaker TBD
Day 4 Data Visualization Speaker TBD
Day 5 No tutorial, only hacking
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

The closest large airport to University of Washington is the Seattle-Tacoma International Airport (SEA). There is no need to get a rental car, as the airport and the UW campus area is well-served by bus and rail. We recommend using Link Light Rail to get from the airport to the south end of campus, which takes approximately 45 minutes and costs $3.25.

There are several hotel options in the area of the conference. In the past, attendees have stayed at the University Inn or Hotel Deca, both of which are a short walk from the venue. A somewhat more budget-friendly option is the College Inn. Services like [AirBNB](https://www.airbnb.com/s/Seattle) are also an option, and can be very cost-effective particularly if you are splitting the lodging with another attendee.

Wherever you choose to stay, be sure you're within easy reach of the UW campus: we will meet each morning in the Odegaard Library. Google Maps is a good resource if you want to estimate travel time to campus on foot or by public transit.

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