ColloquiumThe Cyberinfrastructure and Computational Intelligence Lab at Arizona State University and the San Diego State University Human Dynamics in the Mobile Age Center 
Title: Cyberinfrastructure for Spatial Data Science: Opportunities and ChallengesAbstract:This talk introduces the outcome of a NSF CAREER project that aims at establishing a knowledge-driven cyberinfrastructure for geospatial innovation. Different from traditional CyberGIS platforms, which are largely HPC centered, this new infrastructure intends to integrate machine intelligence into problem solving environment to further accelerate the knowledge discovery process. There are three essential components in such a knowledge infrastructure: a data discovery component which supports large-scale web crawling to identify geospatial datasets; a smart workflow chaining mechanism to support intelligent question answering related to space and time; and a cyber-visualization component to support on-the-fly rendering of big spatial data and online spatiotemporal analytics. These components are seamlessly integrated into a cyberinfrastructure platform using service-oriented approach to enable collaborative decision-making. We have successfully applied the solution framework into problem solving at the poles, since the polar regions are one of the Earth remaining grand frontiers, they are the key moderator of the global climate and currently at high risk of the global change. We expect this work to not only advance geospatial sciences but also improve our understanding of the polar system and its impact on the environment, people, and the society through geospatial innovation.
Dr.Wen-Wen Li, Associate Professor, the School of Geographical Sciences and Urban Planning, Arizona State UniversityDr. Wenwen Li is an Associate Professor in the School of Geographical Sciences and Urban Planning at Arizona State University. She is directing the CICI (Cyberinfrastructure and Computational Intelligence) Lab at ASU. Her research interest is cyberinfrastructure, space-time big data, machine learning, scientific visualization and their applications in multiple Earth science and social science disciplines. She has published 70+ papers in peer-reviewed journal articles, conferences proceedings and books. Since joining ASU in 2012, she has received $1.7 million grant as PI from multiple federal grants, such as NSF and USGS. She was also the winner of the 2015 NSF CAREER award. For more information, please visit: www.public.asu.edu/~wenwenl1 |
