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Deciphering climate clues via carbon flux simulation
Project Lead: Qiaoyun Peng, Department of Atmospheric Sciences eScience Liaisons: Amanda Tan and Rob Fatland Carbon and energy exchanges between the terrestrial biosphere and the atmosphere are important drivers of the Earth’s climate system. The net carbon exchange results from a balance between ecosystem uptake (photosynthesis) and losses (respiration), which could be measured and quantified…
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Experimental diffusion analysis to extract tissue structure function in the diseased brain
Project Lead: Chad Curtis, PhD student, Chemical Engineering Department eScience Liaison: Ariel Rokem One highly underrepresented, but critically needed, area of study is inflammation-mediated central nervous system (CNS) disease. Inflammation in the CNS, mediated by activated microglia and astrocytes, is implicated in the development of several neurologic disorders in both children and adults. Strategies to…
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RAPID grant awarded for Puerto Rico research
By Julia Hart for Freshwater On Sept. 20, 2017, Hurricane Maria made landfall in Puerto Rico as a Category 4 storm. With sustained winds of 155 miles per hour, just two miles per hour shy of a Category 5, Hurricane Maria decimated Puerto Rico’s infrastructure, denying 3.1 million people power or access to clean water.…
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Researchers receive five-year grant to study homelessness and education
By Emily Keller The University of Washington (UW) eScience Institute has received a five-year, $754,601 grant from the Bill & Melinda Gates Foundation to advance data analytics at organizations serving the homeless in the Puget Sound region, with a focus on educational outcomes. Through this grant, researchers at the UW will collaborate with foundation grantees that…
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2017 eScience Institute highlights
By Robin Brooks It was a productive, full and fantastic year here at the eScience Institute. Students, faculty, staff, researchers and community members participated in dozens of events, workshops, seminars, poster sessions, working groups, networking opportunities, trainings, and office hours sessions to learn more about data science. But before we ring in the new year,…
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‘Creating Institutional Change in Data Science’ paper published
A new paper intended for academic leaders who seek to accelerate data-intensive discovery and data science education on their campuses has been released. It is based on the experiences of the three institutions (New York University; University of California, Berkeley; and the University of Washington) in the Data Science Environments effort sponsored by the Gordon and Betty Moore Foundation and…
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2017 Moore Sloan Data Science Summit held in New Orleans
By Robin Brooks Over 120 people attended the Moore Sloan Data Science Summit Nov. 5 – 8, 2017, in New Orleans, LA. The conference, held to foster collaboration as part of the Moore Sloan Data Science Environments initiative, featured workshops, networking events, career development activities, seminars, lightning talks and much more. Graduate students, postdoctoral fellows,…
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Blog: My eScience experience
By Kivan Polimis I heard about the eScience Institute in the fall of 2014, during my first quarter at the University of Washington (UW), and was immediately drawn in by the Institute’s inclusive approach. That mention was a bulletin for the spring 2015 Community Data Science Workshop (CDSW), an outreach program run by eScience and…
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Postdoctoral fellows join eScience team
By Robin Brooks The eScience Institute has recently welcomed 14 new Moore-Sloan Data Science and Washington Research Foundation Innovation in Data Science Postdoctoral Fellows representing 13 different departments on campus, and a breadth of research and technical specializations. Fellows hail from across the country and around the world. This cohort joins a well-established community of affiliated…
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Welcome from Director Magdalena Balazinska
Dear eScience team and community, The new school year is in full gear and the eScience Institute is once again the place on campus where researchers come to learn about the latest data science tools and methods and to network with their interdisciplinary collaborators. I would first like to thank our team and community for…