Bertram de Boer
PhD candidate / guest
Bertram is a PhD candidate in the Industrial Ecology department of the Institute of Environmental Sciences.
Bertram de Boer is a PhD candidate in the Industrial Ecology department of the Institute of Environmental Sciences. He holds a master degree in Artificial Intelligence from the University of Amsterdam, and a bachelor degree in Electrical Engineering from The Hague University of Applied Sciences. During his master degree he specialized both in Machine Learning, and in Policy Analysis in the Health and Life Sciences at the VU University in Amsterdam. He combined both specializations during his time at the Wageningen University where he worked on Automated Framing Analysis of the Twitter conversation during the release of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change using state-of-the-art machine learning algorithms.
He has a strong interest in quantitative policy-relevant research, and currently focuses on quantifying trade-offs in environmental policy using input-output analysis. Previously he worked on the PRINCE project which aimed to develop a platform to continuously monitor the environmental footprints of Swedish consumption, and on the JRC PYP-UPDATE project focused on estimating previous-year-prices supply-use and input-output tables.
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