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Who We Are

In 2018, a team of researchers came together to answer simple but challenging questions:
what do surveillance data look like? And even if you *could* open up a smartphone to look at surveillance data,

what would you find?
 

The result is ADITLOM: a team of experts that come from many different walks of the academy
(from sociology, political science, and business to computer engineering and analytics development)

to build the tools needed to answer these questions.

Meet The Team

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Dr. Tommy Cooke (Principal Investigator)
Fellow, Surveillance Studies Centre
Queen's University

Dr. David Lyon (Co-Principal Investigator)
Professor Emeritus, Sociology and Law
Queen's University

Advisors & Collaborators

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Dr. Dan Cohen (Co-Principal Investigator, Big Data Exposed)
Assistant Professor, Geography and Planning
Queen's University

Fernando Hernandez-Leiva
Analytics Lead, Centre for Advanced Computing
Queen's University

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Dr. Benjamin J. Muller
Associate Professor, Sociology
King's University College

Dr. Dillon Mahmoudi
Assistant Professor, Geography and Environmental Systems
University of Maryland, Baltimore County

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Dr. Dongmei Chen
Full Professor, Geography and Planning
Queen's University

Dr. Grant Blank
Lecturer, Oxford Internet Institute
University of Oxford

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Dr. Teresa Scassa
Canada Research Chair in Information Law and Policy
Full Professor, Law
University of Ottawa

Dr. Valerie Steeves
Full Professor, Criminology
University of Ottawa

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Aaron Iqbal
Master of Arts Candidate, Geography and Urban Planning
Queen's University

Former Team Members

Chris MacPhee
Former Interim Director, Centre for Advanced Computing
Queen's University

Luci Bast
Bachelor of Arts Candidate, Sociology
Queen's University

Nana Boateng
Analytics Intern, Centre for Advanced Computing
Queen's University

Sanil Andapally
Analytics Intern, Centre for Advanced Computing
Queen's University

Noor El-Alfi
Analytics Intern, Centre for Advanced Computing
Queen's University

Peter Wright
Analytics Intern, Centre for Advanced Computing
Queen's University

Francesco Virga
Analytics Intern, Centre for Advanced Computing
Queen's University

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