Creating And Validating Full Scale Synthetic Population Datasets Professors in Global

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Terrence Tricco
Memorial University of Newfoundland Canada
synthetic data generation
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Heidi Christensen
Aalborg University Denmark
synthetic data generation
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Ingo Ziegler
University of Copenhagen Denmark
synthetic data generation
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M Esposito
Maastricht University Netherlands
synthetic data generation
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Nic Kuo
University of New South Wales Australia
synthetic data generation
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Khaled El Emam
University of Ottawa Canada
synthetic data generation
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Johannes Betz
Technical University of Munich Germany
data generation and validation
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Mi Park
University of British Columbia Canada
synthetic data
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Jon Morrow
New York University United States of America
synthetic data
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Helen Chen
University of Waterloo Canada
synthetic data
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Jordan Awan
Purdue University United States of America
synthetic data
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Priyanka Rana
Macquarie University Australia
synthetic data
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Nadiya Fink
University of Michigan United States of America
synthetic data
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Chih-hong Cheng
University of Gothenburg Sweden
synthetic data calibration
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Conor Byrne
University of Warwick United Kingdom
population synthesis
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Christopher Tout
University of Cambridge United Kingdom
population synthesis
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Nicklas Werge
University of Southern Denmark Denmark
large datasets
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Arthur Zimek
University of Southern Denmark Denmark
large datasets
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Mark Burton
University of Southern Denmark Denmark
large datasets
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George Voneiff
Texas A&M University United States of America
large datasets
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Sean Chester
Aarhus University Denmark
massive datasets
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