The goal of the Winter Data Science Incubator is to enable new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster computing, statistics and machine learning, […]
October 15, 2019
The University of Washington’s eScience Institute hosted its fourth annual Geohackweek on September 9-13, 2019. A diverse mix of 45 participants joined us from industry, academia, government and non-profit organizations to advance our understanding of open source software tools for geoscientific research. The event was designed around the hackweek model which aims to […]
April 10, 2019
The Moore-Sloan Data Science Environments (MSDSE) program, established jointly by the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation, was launched in 2014 to foster and enhance data-intensive discovery at academic institutions. The program initially funded three data science environments for five years (recently extended for an additional two years): […]
This summer series will highlight weekly blog posts from this year’s UW Data Science for Social Good Fellows. Scroll down to read posts by Kellie MacPhee and Joe Abbate.
“Being right” by Kellie MacPhee, 2018 Data Science for Social Good Fellow
In mathematics, right and wrong are clearly distinguishable.
Sure, there are questions of style and clarity which make […]
NOTE: We are no longer accepting applications for this opportunity. Thank you for your interest.
RESEARCH SCIENTIST FUNDING OPPORTUNITY
University of Washington eScience Institute
Location: Seattle Campus
The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on campus, we lead […]
The 2017 UW Data Science Career Fair will be held on Monday, October 23 from noon to 5 p.m. in the HUB Ballroom.
Multiple UW departments and programs are working together to create this opportunity for undergraduates, graduate students, and postdocs working in data science to connect with companies and research labs looking for permanent employees […]
Molly King of Stanford University along with colleagues from NYU and the UW, including Data Science Fellow Jevin West, recently wrote a paper investigating differences in self-citation practices between men and women. Using over 1.5 million papers in the JSTOR database published between 1779-2011, they found that men self-cite 56% more often than women do. […]