The first Astro Hack Week took place from September 15-19, 2014 at University of Washington. We had about 45 attendees through the week. We spent the mornings together learning new coding, statistics, and data analysis skills, and spent the afternoons working in pairs and groups on a wide variety of projects. These projects spanned a range of topics, and comprised everything from short exercises to development of teaching materials to full-blown research projects which will likely lead to publications!

Along with these hacks, the afternoons were also punctuated by informal breakout sessions on everything from using Git to constructing Probabilistic Graphical Models. Thanks to all the participants who stepped up to lead these breakouts and share their expertise with others!

(Photo by Adrian Price-Whelan)


This Fall, the UW eScience Institute will be running the second offering of the Data Science Incubation Program.

We invite short proposals (1-2 pages) for 1-quarter exploratory data-intensive science projects requiring collaboration in scalable data management, scalable machine learning, open source software development, cloud and cluster computing, and/or visualization.

Important dates (see website for more details):

What's everyone talking about?

The answer awaits: Find out how the eScience Institute is promoting data science and helping to create pathways
for interdisciplinary careers. 

Every seat in the house was filled at the May 3 workshop!

The Community Data Science Workshops are a series of project-based workshops being held at the University of Washington for anyone interested in learning how to use programming and data science tools to ask and answer questions about online communities like Wikipedia, Twitter, free  and open source software, and civic media.

The workshops are for people with no previous programming experience. The goal is to bring together both researchers and academics as well as participants and leaders in online communities.  The workshops will all be free of charge. Participants from outside UW are encouraged to apply.

There will be three workshops held from 9am-4pm on three Saturdays in April and May. Each session will involve a period for lecture and technical demonstrations in the morning. This will be followed by a lunch graciously provided by the eScience Institute at UW.  The rest  of the day will be followed by group work on programming and data science projects supported by more experienced mentors.



Learn how the University of Washington is expanding data-intensive discovery.
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