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 Seattle and others, […]
eScience Data Science Fellow Rob Fatland is featured in a story on the UW Information Technology website. Fatland, UW director of cloud and data solutions, helped graduate student Timothy Durham to reduce the time spent processing his genome sequencing data, and also assisted in freeing up Durham’s department’s server resources as well.
More from the article: “Fatland said […]
A new book by Jake VanderPlas, eScience Insitute’s director of research in physical sciences, was published in Nov. 2016 by O’Reilly Media. The Python Data Science Handbook is a detailed guide to the most important Python tools for data science, covering IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn, and other tools.
Along with its free companion project, A Whirlwind Tour of Python, […]
The University of Washington’s eScience Institute hosted its first Geohackweek Nov. 14 – 18, 2016. Inspired by AstroHackWeek and Neurohackweek, the conference combined tutorials with group work (“hacks”) on computational projects in geospatial sciences.
With the help of 15 instructors, the event offered training in open-source vector and raster processing, multidimensional array analysis, data visualization, remote dataset access and cloud […]
Sham Kakade, senior data science fellow, and Zaid Harchaoui, data science fellow, are part of a UW team that has developed MusicNet, a “classical music dataset … which enables machine learning algorithms to learn the features of classical music from scratch.”
According to a UW press release, “MusicNet is the first publicly available large-scale classical music dataset with […]
Four University of Washington instructors, including three eScience Institute fellows, have co-authored the new book Dynamic Mode Decomposition (DMD): Data-Driven Modeling of Complex Systems. Senior data science fellow J. Nathan Kutz (applied mathematics, physics and electrical engineering) and fellows Steven L. Brunton (mechanical engineering and applied mathematics) and Bingni W. Brunton (biology), along with Joshua L. Proctor (Institute for Disease Modeling, applied […]
Four researchers recently joined the eScience Institute’s as Moore/Sloan Data Science and Washington Research Foundation Innovation in Data Science Postdoctoral Fellows, each from different backgrounds and departments. Michael Beyeler (neuroengineering), Yi Cao (astronomy, computer science and engineering), Eurika Kaiser (mechanical engineering, mathematics), and Dongfang Zhao (computer science, statistics) comprise the new cohort selected for the two-year program. […]
More than thirty eScience Institute staff, faculty, post-doctoral fellows and graduate students attended the 2016 Moore-Sloan Data Science Summit October 23 – 26. The summit, held in New Paltz and New York City, New York, brought together about 150 total participants to explore the fields of academic data science.
The event was hosted by the Data Science […]
Over three dozen students, researchers, faculty and staff attended this year’s Fall Welcome Event, held September 27th in the WRF Data Science Studio. Ed Lazowska, founding director of the institute, delivered an overview of the services the organization provides, while data scientists provided insight into the special skills and expertise they can offer during their […]