eScience News

  • Gender differences in self-citation

    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.…

  • Traffic safety DataDive

    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…

  • WRF Perfect Pitch & Poster Session a Success

    WRF Perfect Pitch & Poster Session a Success

    By Robin Brooks The Washington Research Foundation (WRF) Perfect Pitch and Poster Contest was held on Tuesday, July 12th in the HUB South Ballroom. Participants from all four of the WRF-funded research institutes at the University of Washington competed in the event, which challenges contestants to improve their communication skills. All competitors conveyed their research visually through…

  • Meet the 2016 Data Science for Social Good fellows

    Meet the 2016 Data Science for Social Good fellows

    By Robin Brooks Their schools, goals, specialties, countries and backgrounds vary. So what compels 16 college students to work full-time for a summer analyzing data? The eScience Institute‘s Data Science for Social Good program allows fellows the opportunity to develop new skills, learn from one another, and receive guidance from top-notch scientists on their project…

  • eScience Institute’s Ed Lazowska in the news

    eScience Institute’s Ed Lazowska in the news

    By Robin Brooks Ed Lazowska, eScience Institute founding director, has been featured recently in the press on a variety of science-related topics. Lazowska is quoted in the Wall Street Journal on Apple’s new “differential privacy” technology, as well as in the Puget Sound Business Journal on the need for expansion of UW’s computer science program. “Student interest in computer science is…

  • Nascent ImageXD event successful

    Nascent ImageXD event successful

    By Robin Brooks The University of California, Berkeley Institute for Data Science (BIDS) recently hosted the inaugural ImageXD event, a topical group focused on image processing. ImageXD offered a unique opportunity for researchers who use images as a primary source of data to gather together to collaborate, problem-solve, network and learn new skills. A breakout session…

  • Data Science for Social Good Program kicks off

    Data Science for Social Good Program kicks off

    By Robin Brooks The eScience Institute’s Data Science for Social Good (DSSG) program is in full swing this summer, with fellows from eight different universities participating in four data-intensive research projects. This year’s teams are focused on urban science, with each group aiming to extract and comprehend relevant, usable information out of data from metropolitan…

  • Viziometrics: a search engine for scientific images

    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…

  • Sparse identification of nonlinear dynamics

    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

  • Monarch butterfly migration cues depend on the Sun

    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…