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UID:90@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20240522T163000
DTEND;TZID=America/Los_Angeles:20240522T172000
DTSTAMP:20260311T174408Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-ziheng-
 sun/
SUMMARY:UW Data Science Seminar: Ziheng Sun
DESCRIPTION:Please join us for a UW Data Science Seminar event on Wednesday
 \, May 22nd from 4:30 to 5:20 p.m. PDT. The seminar will feature Ziheng Su
 n\, Research Associate Professor in the Center for Spatial Information Sci
 ence and Systems at George Mason University.\n\nThe seminar will be held i
 n the Physics/Astronomy Auditorium (PAA)\, Room A118 – campus map for PA
 A.\n\nGeoweaver for Improving Workflow Tangibility and Reducing Research A
 nxiety\n\nAbstract:\n\nIn this talk\, we will together explore the transfo
 rmative potential of Geoweaver\, a productivity workflow management tool\,
  in enhancing the tangibility of research workflows and mitigating researc
 h anxiety. It allows you to streamline complex research processes\, provid
 ing intuitive interfaces and seamless integration of computational tasks. 
 By fostering a more structured and manageable approach to research\, it em
 powers researchers to navigate sophisticated workflows with confidence and
  efficiency\, ultimately advancing scientific inquiry across diverse domai
 ns. Join us to discover how Geoweaver revolutionizes research practices\, 
 promoting clarity\, productivity\, and innovation. More details can be fou
 nd at Geoweaver.\n\nBio: Dr. Ziheng Sun is a research associate professor 
 at George Mason University. He is the PI of NASA ACCESS Geoweaver project\
 , and NSF Geoinformatics project. He has worked on scientific workflow man
 agement for many years and published over 100 papers and book chapters. He
  is the chair of ESIP machine learning cluster and currently an AI practit
 ioner trying to answer challenging Earth science questions with the latest
  technologies.\n\n&nbsp\;\n\nThe UW Data Science Seminar is an annual lect
 ure series at the University of Washington that hosts scholars working acr
 oss applied areas of data science\, such as the sciences\, engineering\, h
 umanities and arts along with methodological areas in data science\, such 
 as computer science\, applied math and statistics. Our presenters come fro
 m all domain fields and include occasional external speakers from regional
  partners\, governmental agencies and industry.\n
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