Date/Time

Date(s) - 12/08/2021
4:30 pm - 5:30 pm

Please use this zoom link for the event.

Please join us for a UW Data Science Seminar event on Wednesday, December 8th from 4:30 to 5:30 p.m. The seminar will feature Shaowen Wang, Professor and Head of the Department of Geography and Geographic Information Science at the University of Illinois Urbana-Champaign. This event is co-sponsored with the UW School of Environmental and Forest Sciences.

“Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS”

Abstract: Geospatial discovery and innovation have been undergoing an extreme digital transformation enabled by artificial intelligence and cyberGIS during the past decade. This transformational trend seems likely to persist into the foreseeable future. Meanwhile cyberGIS has emerged as a new generation of geographic information science and systems (GIS) based on holistic integration of high-performance and distributed computing, data-intensive knowledge discovery, visualization and visual analytics, and collaborative problem-solving capabilities. This presentation discusses challenges and opportunities for advancing data-intensive geospatial understanding to tackle environmental and sustainability challenges through cyberGIS-enabled interdisciplinary and transdisciplinary approaches.

Biography: Shaowen Wang is a Professor and Head of the Department of Geography and Geographic Information Science; Richard and Margaret Romano Professorial Scholar; and an Affiliate Professor of the Department of Computer Science, Department of Urban and Regional Planning, and School of Information Sciences at the University of Illinois at Urbana-Champaign (UIUC). He has served as Founding Director of the CyberGIS Center for Advanced Digital and Spatial Studies at UIUC since 2013. He served as Associate Director of the National Center for Supercomputing Applications (NCSA) for CyberGIS from 2010 to 2017 and Lead of NCSA’s Earth and Environment Theme from 2014 to 2017. His research interests include geographic information science and systems (GIS), advanced cyberinfrastructure and cyberGIS, complex environmental and geospatial problems, computational and data sciences, high-performance and distributed computing, and spatial analysis and modeling.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

The 2021-2022 seminars will be hybrid virtual and in-person events, and are free and open to the public.