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.
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.
Director of Research in the Physical Sciences, University of Washington’s eScience Institute
Professor of Physics and Data Science, NYU
Co-founder, Wise.io
Professor of Astronomy, UC Berkeley
Astrophysicist, Smithsonian Astrophysical Observatory
Sagan Postdoctoral Fellow, University of Washington
Cosmology Data Science Fellow, UC Berkeley
Cosmology Data Science Fellow, UC Berkeley
| Day | 9 am – 12 noon | 1:30 pm – 6 pm |
|---|---|---|
| Monday | Effective computing & statistics | Introductions & hack pitches Hacking & breakouts |
| Tuesday | Machine learning | Hacking & breakouts |
| Wednesday | Bayesian statistics | Hacking & reception at GitHub HQ (3pm - 10pm) |
| Thursday | Optimization & sampling | Hacking & breakouts |
| Friday | Hacking & breakouts | (1 – 2:30 pm) Public BIDS Data Science Lecture (3 – 6 pm) Hack presentations |
To get an idea of the content, you can check out last year's recorded lectures or the lecture material on github.
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. Be aware that there is a 30 – 60 second delay between the recording and the live stream.
2015's recorded lectures cah be found on the Astro Hack Week YouTube channel.
During Astro Hack Week, we require participants to follow the code of conduct for the workshop which can be found here. If you have any questions about the workshop, you can reach the organizing committee at astrohackweek@gmail.com.
The workshop will be held at the Berkeley Institute for Data Science (BIDS) on the UC Berkeley campus.
You can fly into either San Francisco International Airport (SFO) or the Oakland International Airport (OAK). SFO is the larger of the two airports and is about an hour away from Berkeley on public transit (BART). OAK is 40 minutes away on BART. The workshop venue (BIDS) is about a 10 minute walk from the Downtown Berkeley BART station (directions from BART station to BIDS).
Berkeley has many hotels near campus. AirBnB is also active in Berkeley. Here are a few hotel options, roughly in order of cost:
Location of above hotels (blue markers) relative to BIDS (gold star):
This year's event is being organized by
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:
Interested in sponsoring AstroHackWeek? Contact the organizing commitee for details.