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Technology Bias
Technology Bias Professors in Global
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Professor
Susanne Engström
KTH Royal Institute of Technology
Sweden
technology education
technology didactics
learning about technology
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Professor
Arif Noori
Columbia University
United States of America
digital technology
information technology
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Professor
Kathleen Noce
Penn State Behrend
United States of America
technological socialization
social responsibility in technology
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Professor
Tyler Girard
Purdue University
United States of America
digital technology
technological change
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Professor
Jonas Hallström
Linköping University
Sweden
technology education
cultural perspectives of technology
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Professor
Kam Chan
University of Manchester
United Kingdom
responsible technology use
technology-fuelled conflicts
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Professor
Alexander Tertzakian
University of Glasgow
United Kingdom
technology transfer
technological change
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Professor
Pia Van Gelder
Australian National University
Australia
technology studies
religion and technology
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Professor
Rupert Way
Smith School of Enterprise and the Environment
United Kingdom
technology forecasting
technological change
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Professor
Zhe Zhang
University of California, San Diego
United States of America
information technology
technological change
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Professor
Michael Henderson
Monash University
Australia
digital technology
educational technology
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Professor
Jo Blannin
Monash University
Australia
digital technology
educational technology
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Professor
Martin Tanis
Vrije Universiteit Amsterdam
Netherlands
confirmation bias
biased information processing
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Professor
Amee Naidu
University of Washington
United States of America
weight bias
implicit bias
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Professor
Sebastian Tillmanns
ETH Zurich
Switzerland
technology marketing
technology management
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Professor
Valerie Frissen
Leiden University
Netherlands
ethics of technology
digital technologies
law and technology
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Professor
Nathalie Smuha
Columbia University
United States of America
digital technologies
law and technology
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Professor
Maximilian Goethner
University of Twente
Netherlands
technology commercialization
technology management
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Professor
Shamya Karumbaiah
University of Wisconsin–Madison
United States of America
bias in ai-based learning systems
educational technology
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Professor
Anders Persson
Linköping University
Sweden
information technology
technology management
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Professor
Eileen Trauth
Pennsylvania State University
United States of America
information technology
gender and information technology
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