About Sarah Stone

This author has not yet filled in any details.
So far Sarah Stone has created 27 blog entries.
  • 2017 Data Science for Social Good fellows offer midterm presentations

Meet the 2018 Data Science for Social Good fellows



The eScience Institute is pleased to welcome 15 talented student fellows to our summer 2018 Data Science for Social Good (DSSG) program which kicks off Monday, June 11. The DSSG fellows hail from universities across the United States and represent a diversity of disciplines including public policy, linguistics, sociology, mathematics, and biology […]

June 7th, 2018|Categories: News|Tags: , |
  • People working in the WRF Data Science Studio

Research scientist funding opportunity at eScience

NOTE: We are no longer accepting applications for this opportunity. Thank you for your interest.


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 […]

May 10th, 2018|Categories: News|
  • UW and UBC fellows meet in Vancouver

Data Science for Social Good fellows meet in Vancouver

By Robin Brooks
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 […]

  • Groups of people chat

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 employees […]

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:
Paper :

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|