Author: Sarah Stone
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Research scientist funding opportunity at eScience
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…
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2017 Data Science Career Fair
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…
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Gender differences in self-citation
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.…
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Traffic safety DataDive
In May 2016, the eScience Institute hosted a DataDive organized by DataKind and sponsored by Microsoft. The event followed a city of Seattle commitment to Vision Zero, an effort aimed at reducing traffic fatalities and serious injuries to zero. The data scientist volunteers who participated in this event worked on an exploratory analysis and modeling…
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Viziometrics: a search engine for scientific images
While good graphics are considered a critical component of an effective scientific paper, literature search engines have historically been text or citation based. This week the MIT Technology Review highlighted the first visual search engine for scientific diagrams – Viziometrics. The team behind this pioneering project includes Electrical Engineering Ph.D. student Po-Shen Lee, iSchool professor and…
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Sparse identification of nonlinear dynamics
Data Science Fellow Steven Brunton and colleagues recently published a paper in PNAS applying machine learning to dynamical systems and control in engineering. This work involves a novel approach to discovering governing equations from data. Video abstract: https://www.youtube.com/watch?v=gSCa78TIldg Paper [open access]: http://www.pnas.org/content/113/15/3932.abstract
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Monarch butterfly migration cues depend on the Sun
Eli Shlizerman, Data Science Fellow and Assistant Professor in Applied Mathematics and Electrical Engineering, and his biologist colleagues published a model for a sun compass used by monarch butterflies for navigation during their annual migration. Modeling data from butterfly neurons in the attennae and eyes, they identified that input cues from the Sun alone can…
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The Data Science Incubator: a unique environment for geospatial data science education
Anthony Arendt, eScience Institute Data Science Fellow and Applied Physics Laboratory Senior Research Scientist, contributed an American Geophysical Union blog post about two Earth sciences projects that were part of the recently completed 2016 Winter Data Science Incubator. He notes that this program provides a novel approach to addressing the urgent challenge of offering education…
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Panama Papers Leak
USA Today quoted eScience Associate Director Bill Howe in an April 5th article about the 11.5 million documents recently leaked from a Panamanian law firm pertaining to hidden offshore accounts and business transactions. Howe notes that cloud computing as well as openly available software for translation, indexing, and data mining now make quick work of…