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Speaker: Guido Cervone – Director of GeoInformatics & Earth Observation Lab, Department of Geography and Institute for CyberScience at the Pennsylvania State University and Affiliate Scientist with RAL at NCAR
Date: July 14, 2014
Place: FL 2 – Room 1022
Title: From Big Data to Big Knowledge: The Revolution of CyberScience and
For more than three centuries, scientific discovery has progressed through observation, theory development, and experimentation. Three decades ago, a new and fundamentally revolutionary method was added that has changed the scope of scientific inquiry: computation and data¬-enabled research.
With the emergence of massive data sets and powerful computational capabilities, this new method has become widespread across disciplines leading to new discoveries. About ten years ago it was given a name – CyberScience – with far reaching repercussions in the sciences, engineering, and the humanities. CyberScience has been transformative and will continue to change the way research is undertaken. It has also dramatically changed the founding priorities of most agencies. In order to address these new challenges and capitalize on new potentials, the Institute for CyberScience was formed at The Pennsylvania State University, to build strengths in computationally enabled sciences across disciplines.
Recent advances in sensor technologies and numerical model forecasting have provided scientists with an unprecedented access to Earth-related data. These developments are quickly leading towards a data-rich but knowledge-poor environment. The rate at which geospatial data are being generated exceeds our ability to organize and analyze them. The field of GeoInformatics focuses on the development and implementation of novel scientific algorithms to provide solutions to computation and data-enabled Earth-related problems.
In this talk I will discuss some of the principles of Cyber¬Science and GeoInformatics and will present selected results from my research on the analysis of remote sensing, atmospheric numerical models and social media related to natural disasters and emergencies. Specific examples will be presented of how social media, and non-authoritative sources in general, can be used to ‘fill the gaps’ in remote sensing and model observations during emergencies. Test cases include the flooding of NYC during Hurricane Sandy, and of the city of Boulder CO in September 2013. Potential funding opportunities will also be discussed.
This Seminar will be webcast
NcastFL2_1022 (Large Auditorium) Webcast link