sstone3@uw.edu

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About Sarah Stone

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So far Sarah Stone has created 15 blog entries.
  • UW and UBC fellows meet in Vancouver

Data Science for Social Good fellows meet in Vancouver

The first Cascadia Urban Analytics Cooperative Summit took place on the University of British Columbia campus July 13 – 14. eScience Data Science for Social Good (DSSG) student fellows and project leads joined with UW faculty to meet their counterparts in UBC’s pilot DSSG program.

Events included mid-term presentations by the four UW and the four UBC […]

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January 4th, 2017|Categories: News|

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. […]

August 3rd, 2016|Categories: News|

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 […]

August 2nd, 2016|Categories: News|

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 eScience […]

June 1st, 2016|Categories: News|

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 :  http://www.pnas.org/content/113/15/3932.abstract

April 29th, 2016|Categories: News|

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 […]

April 15th, 2016|Categories: News|

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 […]

April 13th, 2016|Categories: News|

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 […]

April 6th, 2016|Categories: News|

Community-level data science and its spheres of influence: beyond novelty squared

Brittany Fiore-Gartland and Anissa Tanweer

Data science has many characterizations, but in academia it is often talked about as pushing the limits of both methodological and domain science, what Josh Bloom, a Professor of Astronomy at U.C. Berkeley, has referred to as “novelty squared”. Bloom sees this as the “great challenge of modern interdisciplinary scientific collaboration”. […]

April 4th, 2016|Categories: News|