Model Fairness Professors in Global

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Lei Feng
KTH Royal Institute of Technology Sweden
modeling
model checking
model-based design
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Samantha Hatzenbeler
University of Washington United States of America
gender equity
racial equity
economic equity
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Fei Wang
Cornell University Netherlands
model fairness
model interpretability
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
bias fairness
algorithmic fairness
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Line Clemmensen
University of Copenhagen Denmark
fair modeling
trustworthy modeling
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Katherine Smith
University of Manchester United Kingdom
fairness
equality
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Shaul Shalvi
University of Amsterdam Netherlands
fairness
equality
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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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Paul Hufe
University of Bristol United Kingdom
fairness
equality of opportunity
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Jamie Tucker-foltz
Yale University United States of America
fairness
equity
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Li Cheng
Michigan State University United States of America
fairness
equity
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Laurie Barclay
University of Guelph Canada
fairness
equity
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Joshua Loftus
London School of Economics United Kingdom
fairness
model selection
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Laleh Seyyed-kalantari
York University Canada
fairness
foundation models
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Leanne Son Hing
University of Guelph Canada
fairness
inequality
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Swati Kumari
Radboud University Netherlands
fairness algorithms
gender equity
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Dan Kowal
Cornell Bowers University United States of America
algorithmic fairness
model selection
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
fair division
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Rumi Chunara
New York University United States of America
algorithmic fairness
inequity technology
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Ronnie De Souza Santos
University of Calgary Canada
software fairness
equity in software engineering
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