Public Understanding Of Machine Learning Professors in Global

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Neil Lawrence
University of Cambridge United Kingdom
public understanding of machine learning
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Michael Skirpan
Carnegie Mellon University United States of America
public understanding of algorithms
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David Etor
University of Bristol United Kingdom
public understanding of engineering
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Michael Weisberg
University of Pennsylvania United States of America
public understanding of science
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Fredrik Bragesjö
University of Gothenburg Sweden
public understanding of science
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Brady Wagoner
Aalborg University Denmark
public understanding of science
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Richard Milne
University of Cambridge United Kingdom
public understanding of science
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Naomi Oreskes
Harvard University United States of America
public understanding of science
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Anja Andersen
University of Copenhagen Denmark
public understanding of science
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Leonard Smith
London School of Economics and Political Science United Kingdom
public understanding of science
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Fabien Medvecky
Australian National University Australia
public understanding of science
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Bas Haring
Leiden University Netherlands
public understanding of science
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Zoe Leviston
Australian National University Australia
public understanding of science
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Kai Niebert
University of Zurich Switzerland
public understanding of science
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Ola Nilsson
Umeå University Sweden
public understanding of science
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Andrew Simpson
Macquarie University Australia
public understanding of science
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Aaron Mccright
Michigan State University United States of America
public understanding of science
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Victoria Wibeck
Linköping University Sweden
public understanding of science
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Christian Stöhr
Chalmers University of Technology Sweden
public understanding of science
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Kenneth Miller
Brown University United States of America
public understanding of science
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Rebecca Mancy
University of Glasgow United Kingdom
public understanding of science
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