Peter Fox

Biography

Peter Fox is a Tetherless World Constellation Chair and Professor of Earth and Environmental Science, Computer Science and Cognitive Science at Rensselaer Polytechnic Institute. Fox also directs the Insitution-wide interdisciplinary Information Technology and Web Science program. Previously, he was Chief Computational Scientist at the High Altitude Observatory of the National Center for Atmospheric Research and before that a research scientist at Yale University. Fox has a B.Sc. (hons) and Ph.D. in Applied Mathematics (including physics and computer science) from Monash Univsersity. His research and education agenda covers the fields of data science and analytics, ocean and environmental informatics, computational logic, semantic Web, cognitive bias, semantic data frameworks, and solar and solar-terrestrial physics. The results are applied to large-scale distributed scientific repositories addressing the full life-cycle of data and information within specific science and engineering disciplines as well as among disciplines. Fox was President of the Federation of Earth Science Information Partners (ESIP 2104-2016). Fox served as chair of the International Union of Geodesy and Geophysics Union Commission on Data and Information (2007-2015), is past chair of the AGU Special Focus Group on Earth and Space Science Informatics, and associate editor for the Earth Science Informatics journal, editorial board member for Computers in Geosciences and Nature's Scientific Data. Fox served on the International Council for Science's Strategic Coordinating Committee for Information and Data. Fox was awarded the 2012 Martha Maiden Lifetime Achievement Award for service to the Earth Science Information community, and the 2012 European Geosciences Union Ian McHarg Medal for significant contributions to Earth and Space Science Informatics. In 2015, Fox was elected as the first Earth and Space Science Informatics fellow to the American Geophysical Union.

Research Interest

Environmental informatics Data Science Semantic eScience Materials Informatics Data Analytics