Chris Crosby, UNAVCO/Open Topography – LiDAR remote sensing.Lindsay Powers, H5 Group – HDF5 data structure.In addition to the three core faculty listed above the Data Institute participants were instructed by and interacted with guest instructors and NEON project scientists: Kyla approaches questions by integrating observational data, modeling, and focused field experiments to both refine our understanding of ecosystem function and to improve our ability to predict how ecosystems and the climate will change in the future. She is currently interested in semi-arid forest/grassland transition zones, where vegetation patterns are readily observable but poorly understood.
Kyla's research aims to better understand and quantify ecosystem processes and disturbance responses through the application of emerging technologies, including air- and space-borne remote sensing, spatial statistics, and process-based modeling. Kyla Dahlin, Assistant Professor, Michigan State University: Improving training experiences in open science and reproducible research methods.ĭr.
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Software Carpentry and Data Carpentry, Naupaka is very interested in providing and Network of Next-Generation Ecologists and an instructor and lesson maintainer for In his own dissertation and postdoctoral work. Naupaka brings to the course experience and enthusiasm for reproducible workflowsĭeveloped after discovering how challenging it is to keep track of complex analyses
Naupaka’s research focuses on the microbial ecology of plant-fungal interactions. Naupaka Zimmerman, Assistant Professor of Biology, University of San Francisco: in ecology with a focus on using remote sensing techniques to measure landscape level ecological change.ĭr. Leah Wasser, Supervising Scientist, NEON:Īs part of her work at NEON, Leah is passionate about helping the scientific community harness the power of remote sensing and other large spatio-temporal data using efficient, quantitative, reproducible approaches and open science workflows to better understand ecological change over time.