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Applying Machine Learning to the Analysis of the Large-Scale Structure of Turbulence
Project Lead: Owen Williams, Department of Aeronautics and Astronautics eScience Liaison: Jake VanderPlas Turbulent flows dominate many flows of engineering interest, regulating mixing, heat transfer and drag on vehicles. While hard to concisely define, turbulence is noisy, stochastic, and contains eddies of a wide range of scales that combine to create a chaotic set of movements that…
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Poster and networking session success
By Robin Brooks The UW Data Science Poster and Networking Session, hosted by the eScience Institute, was held on February 21, 2017, at the Mary Gates Commons. Over 50 students, postdoctoral candidates and researchers representing more than 30 departments on campus presented posters. Topics ranged from tracking microbubbles to open data literacy to design technologies…
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Data Science Environments partners publish reproducibility book
By Robin Brooks Researchers from the UW’s eScience Institute, New York University Center for Data Science and Berkeley Institute for Data Science (BIDS) have authored a new book titled The Practice of Reproducible Research. Representatives from the three universities, all Moore-Sloan Data Science Environments partners, joined on January 27, 2017, at a symposium hosted by BIDS. There, speakers discussed…
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Fellow proposes critical analysis course
By Robin Brooks Jevin West, data science fellow and assistant professor in the UW Information School, and Carl T. Bergstrom, professor of biology, have proposed a new course meant to develop critical analysis skills. Tentatively titled Calling Bull***t, the class aims to teach learners “how to think critically about the data and models that constitute evidence…
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Affiliate’s health startup receives $8.5 million in funding
By Robin Brooks KenSci, a health data startup co-founded by Ankur Teredesai and Samir Manjure, has raised $8.5 million in a Series A investment round. The startup uses machine learning technology that “helps doctors predict who might get sick and how sick they might get, and take actions to help them before it happens.” (1)…
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Fellow Emily Fox receives presidential award
By Robin Brooks Emily Fox, eScience Institute data science fellow, has won the 2017 Presidential Early Career Award for Scientists and Engineers. Fox, associate professor of statistics and of computer science and engineering, and Amazon Professor of Machine Learning, was nominated by the National Science Foundation “for her groundbreaking work in large-scale Bayesian modeling and computational approaches…
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Fellow Cecilia Aragon receives Fulbright Award
By Robin Brooks Cecilia Aragon, professor of Human Centered Design & Engineering and an eScience Institute senior data science fellow, has been conferred the distinguished Fulbright Award. Dr. Aragon will travel to the Universidad Técnica Federico Santa María in Valparaiso, Chile, in 2018, where she will conduct research on human-centered data science and social media analysis with…
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eScience Institute co-sponsors human services workshop
By Robin Brooks On January 17 – 18, leaders and innovators from academic and governmental backgrounds will gather at the MetroLab Workshop on Big Data and Human Services to discuss common challenges and propose collaborative, data-driven solutions to human service issues. The workshop, co-sponsored by the eScience Institute, Urban@UW, the MetroLab Network, the City of…