Fair Data Professors in Global

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Tone Walford
University College London United Kingdom
data justice
environmental data justice
data politics
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Stacy Allison-cassin
Dalhousie University Canada
data justice
linked data
data standards
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Tracey Lauriault
University of Ottawa Canada
equity
data ethics
data society
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Alan Tsang
Carleton University Canada
fair allocation
algorithmic fairness
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
bias fairness
algorithmic fairness
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Nisarg Shah
University of Toronto Canada
fair division
algorithmic fairness
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Mirjam Van Reisen
Leiden University Netherlands
fair data science
big data
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
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Imran Asif
University of Oxford United Kingdom
fair
linked data
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Katherine Smith
University of Manchester United Kingdom
fairness
equality
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Clinton Castro
University of Wisconsin–Madison United States of America
fair machine learning
data ethics
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Drago Plecko
University of California Los Angeles United States of America
fair machine learning
trustworthy data science
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Shaul Shalvi
University of Amsterdam Netherlands
fairness
equality
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Brent Mittelstadt
University of Oxford United Kingdom
fairness
data ethics
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Kevin Bell
Monash University Australia
fair trial
equality
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Li Cheng
Michigan State University United States of America
fairness
equity
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Jamie Tucker-foltz
Yale University United States of America
fairness
equity
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Laurie Barclay
University of Guelph Canada
fairness
equity
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Aleksandra Korolova
Princeton University United States of America
algorithmic fairness
data privacy
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Arvind Narayanan
Harvard University United States of America
algorithmic fairness
data privacy
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Jon Kleinberg
Cornell University Netherlands
algorithmic fairness
data privacy
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