Date
Abstract
Connecting Learners to Complex Science
The rapid acceleration of 21st-century science has revealed that nature is rife with complexity, but the gap between science practice and science education is widening.
In the 21st century, we have transitioned from modeling abstract ideas in nature, then gathering data from nature to compare with our models, to managing, modeling, and making discovery in massive amounts of streaming data and processes captured from nature in cyberinfrastructures. Jim Gray calls this “The 4th Paradigm,” or "eScience." Scientists employ an array of advanced methods to manage, analyze, and visualize vast data streams, but little of these techniques translate well for citizens and policymakers. For STEM learners to get their minds around the complexity of such topics as network, proteomic, sustainability and earth systems sciences, information sciences, and social systems dynamics requires deepening our understanding of how people learn. It also requires finding ways to connect learners to the tools and techniques to manipulate, analyze, and extract useful knowledge from what the National Science Foundation now calls Big Data. This seminar will talk about the trends in science research and relevant projects being undertaken to address the gap.
Presenters
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Stephen Uzzo
As chief scientist for the New York Hall of Science and adjunct professor at New York Tech, Stephen Uzzo develops and leads large-scale initiatives to integrate cutting-edge science and technology into teaching and learning, and teaches courses in STEM learning at New York Tech. He currently leads initiatives to build communities of practice and improve literacy of the public in complexity and data driven science and engineering. His dissemination activities include organizing international conferences and symposia and speaking at six to 10 major conferences per year. His background includes...
Image
Stephen Uzzo
As chief scientist for the New York Hall of Science and adjunct professor at New York Tech, Stephen Uzzo develops and leads large-scale initiatives to integrate cutting-edge science and technology into teaching and learning, and teaches courses in STEM learning at New York Tech. He currently leads initiatives to build communities of practice and improve literacy of the public in complexity and data driven science and engineering. His dissemination activities include organizing international conferences and symposia and speaking at six to 10 major conferences per year. His background includes over 20 years of professional experience in teaching, learning, and research in science, technology, engineering, and math (STEM) and prior to that, 10 years in video and computer graphics systems engineering. His research interests include complex networks, teaching and learning of data-driven STEM, and the impact of big data on teaching and learning; his research has been funded by the National Science Foundation and a variety of private foundations and corporations. He holds a terminal degree in network theory and environmental studies from the Union Institute and serves on a number of advisory boards for institutions related to his interests. Having never lived very far from the ocean in New York and California, Stephen has also been a lifelong advocate for marine conservation.
Presenters
Stephen Uzzo, New York Hall of Science
Time
12:30 p.m. ET
Location
SESYNC – 1 Park Place, Suite 300 Annapolis, MD 21401
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