The eScience Institute at the University of Washington invites students to join the Data Science for Social Good incubator program this summer.

Sixteen students will be selected to work with academic researchers, computer scientists, and public stakeholder groups on data-intensive research projects with public policy implications. These are paid positions.

UW data science team at AAAS Annual Meeting

There’s a new kind of researcher on campus, one who doesn’t fit into the usual nooks and crannies at a university.

They are data scientists – students, faculty members and professional scientific staff – who are building the tools and crafting the methods to help researchers analyze the vast amounts of data now abundant in every field. The very nature of their skill set is interdisciplinary, and the university system doesn’t always reward them for the time they spend developing techniques and software to advance discovery.

This dilemma, and what universities can do to change it, is the topic of a symposium Feb. 15 at the American Association for the Advancement of Science annual meeting in San Jose, California. The session, “Advancing University Career Paths in Interdisciplinary Data-Intensive Science,” was organized by UW’s Cecilia Aragon and Bill Howe, and also includes UW’s Ed Lazowska, Berkeley’s Joshua Bloom and Fernando Perez, and NYU’s Juliana
Freire – partners in the Data Science Environments project supported by the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation.

Read a UW News post here.  See Ed Lazowska’s introductory slides here.


from UW CSE News:

The Gordon and Betty Moore Foundation joined last year with the Alfred P. Sloan Foundation in a process that ultimately selected the University of Washington, UC Berkeley, and New York University as partners in a 5-year, $38.7 million collaborative effort to advance data-intensive discovery. 

The Moore Foundation has just announced the results of a subsequent competition to identify leading individual researchers as “Data-Driven Discovery Investigators,” funded at $1.5 million each. From an original field of more than 1,000 pre-proposals, roughly 100 researchers were invited to submit full proposals. 28 of these were invited to participate in a workshop, after which 14 were selected as recipients of $1.5 million Moore Foundation Data-Driven Discovery Investigator Awards – including UW CSE professor Jeff Heer.



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)



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