UW News

Bill Howe

June 8, 2017

Wide-Open accelerates release of scientific data by automatically identifying overdue datasets

graph showing papers released after WideOpen

WideOpen is a new open-source tool developed at the UW to help advance open science by automatically detecting datasets that are overdue for publication. Already, more than 400 datasets have been made public as a result.

May 25, 2017

UW anthropologist: Why researchers should share computer code

Bronze W

For years, scientists have discussed whether and how to share data from painstaking research and costly experiments. Some are further along in their efforts toward “open science” than others: Fields such as astronomy and oceanography, for example, involve such expensive and large-scale equipment and logistical challenges to data collection that collaboration among institutions has become…

August 31, 2015

UW students put data science skills to use for social good

The Data Science for Social Good team that worked on the family homelessness project.

They could easily spend their days poring over statistical methods for a genetic study or sorting through data about consumer behavior on the other side of the globe. But this summer, data scientists at the University of Washington’s eScience Institute took a break from their typical work helping researchers and professors to incorporate cutting-edge technologies…

February 13, 2015

AAAS symposium looks at how to bring big-data skills to academia

word cloud

A session Feb. 15 at the American Association for the Advancement of Science annual meeting will explore how big data scientists can find careers at universities and within academic settings.

November 12, 2013

Grant will support interdisciplinary, data-intensive research at UW

wordle image of words from the UW's proposal

The UW, along with the University of California, Berkeley, and New York University, are partners in a new five-year, $37.8 million grant from the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation that aims to accelerate the growth of data-intensive discovery across many fields.