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2018 Spring Distinguished Speaker Series concludes with Dr. Warren T. Wood

The final Distinguished Speaker for our Spring 2018 season is  Dr. Warren T. Wood, head of the Geology and Geophysics section of the U.S. Naval Research Laboratory. He will discuss "Geospatial Machine Learning in the Geosciences."


Within the earth sciences community there is a need to evolve from a paradigm of stand-alone field and modeling efforts, to one of a more unified, multi-scale, consistent regional/global analyses, leading eventually to forecasts supported by consistent measurement and modeling - analogous to that performed in the meteorological and oceanographic communities. Such a paradigm shift does not necessarily impact the number or type of field and/or modeling efforts, but rather puts them in a unifying context. To meet this need, NRL has developed a Global Predictive Seafloor Model (GPSM), which relies heavily on a type of artificial intelligence known as machine learning (ML). Specifically, we show here how ML can find correlations in large, extensive, data sets, (e.g. seafloor porosity, heat flux, and total organic carbon) and use those correlations to predict, with uncertainty, values at geospatial locations where no direct measurements have been made. This is particularly useful when making estimation in difficult-to-access areas such as the Arctic, and/or when global estimates of the land surface or seafloor are desired. Further, a byproduct of the ML analysis is a quantitative measure of what are the important predictors, and where sampling them would be most advantageous for the overall prediction, i.e. a map of where best to sample next.


Join us for this fascinating look at geospatial machine learning on Friday, April 27, 2018 at 12:30 PM in Room 204 Natural Science Building on the East Lansing Campus.


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Interim Department Chair:
Dr. Jeffrey Freymueller
  (517) 355-4626

Department Office:
 Natural Science Bldg
288 Farm Lane, Rm 207
East Lansing, MI 48824
  (517) 355-4626
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