Data Centric Analysis Of Social Justice Issues Professors in Global

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Sofie Astrupgaard
University of Copenhagen Denmark
data analysis
social data science
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Ole Teutloff
University of Copenhagen Denmark
data analysis
social data science
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Laura Kurgan
Columbia University United States of America
algorithms and social justice
justice mapping
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Lydia Pandian
University of New Brunswick Canada
social justice issues
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Tisha King
University of Waterloo Canada
social justice issues
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Lai-tze Fan
University of Waterloo Canada
social justice issues
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Anne Burke
Memorial University of Newfoundland Canada
social justice issues
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Kate Mcdowell
University of Illinois United States of America
social justice storytelling
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Jillian Lerner
University of British Columbia Canada
social justice storytelling
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Julia Lefrancois
Yale University United States of America
social justice research
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Philip Stark
University of California, Berkeley United States of America
social justice research
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Rodrigo Freitas
Massachusetts Institute of Technology United States of America
data-centric approaches
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Mohammad Jafari Jozani
University of Manitoba Canada
data-centric approaches
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Marc Thomas
Utrecht University Netherlands
problem solving justice
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Marwa Dabaieh
Aalborg University Denmark
social justice in urban settings
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Edward Chang
University of Michigan United States of America
social problem solving
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Ahmed Abu Shaban
York University Canada
data-driven analysis
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Stephen Graves
Massachusetts Institute of Technology United States of America
data-driven analysis
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Mark Sherman
Carnegie Mellon University United States of America
data-driven analysis
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Harish Ganesh
University of Michigan United States of America
data-driven analysis
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Nina Aronoff
Boston University United States of America
justice-based social work
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