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Efficient Computation on Large Spatiotemporal Network Data
Project Lead: Ian Kelley, Ph.D., Research Consultant, Information School eScience Liaison: Andrew Whitaker, Ph.D., Research Scientist, eScience Institute The pervasive and rich data available in today’s networked computing environment provides many major opportunities for innovative data-intensive applications. Particularly challenging are data analysis projects that rely upon input from millions of sparse, highly dimensional, and dirty data files…
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Analysis of Kenya’s Routine Health Information System Data
Project lead: Gregoire Lurton, UW Institute for Health Metrics and Evaluation Advisors: Abie Flaxman and Emmanuela Gakidou, UW Institute for Health Metrics eScience Liaison: Daniel Halperin, Director of Research – Scalable Analytics, UW eScience Institute Every year, millions of dollars are spend on collecting data on health services in developing countries. This data then typically sits unused because…
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Using Social Media Data to Identify Geographic Clustering of Anti-Vaccination Sentiments
Project lead: Benjamin Brooks, UW Institute for Health Metrics and Evaluation Advisor: Abie Flaxman, UW Institute for Health Metrics and Evaluation eScience Liaison: Andrew Whitaker, UW eScience Institute There has been considerable attention given to the potential for search engine and social media data to provide real time information regarding public health threats; this idea is well known…
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Repeating Earthquake Detection Final Report
Project Lead: Alicia Hotovec-Ellis, Graduate Researcher, Earth and Space Sciences Advisor: John Vidale, Professor, Earth and Space Sciences eScience Liaison: Jake Vanderplas, Director of Research – Physical Sciences, UW eScience Institute In this project, we aimed to provide an open-source tool for seismologists to cluster repeating earthquakes in continuous data. The primary focus was to do this in…