Selective Vulnerability Professors in Global

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Meryem Saadi
Uppsala University Sweden
generative vulnerability
vulnerability
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Edward Schwartz
Carnegie Mellon University United States of America
vulnerability discovery
software security attacks
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Merlise Clyde
Duke University Singapore
variable selection
choice prediction
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Susan Niessen
University of Groningen Netherlands
predictive validity
selection psychology
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Sonja Starr
University of Chicago United States of America
predictive algorithms
statistical discrimination
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Ton Dieker
Columbia University United States of America
predictive modeling
stochastic networks
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Matthias Grossglauser
École Polytechnique Fédérale de Lausanne Switzerland
discrete choice models
stochastic networks
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Theo Arentze
Eindhoven University of Technology Belgium
discrete choice modeling
spatial choice behavior
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A.c.c. Coolen
Radboud University Netherlands
predictive analysis
random networks
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Rowan Lymbery
University of Western Australia Australia
multivariate selection
sexual selection
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Gerdien Van Schaik
Utrecht University Netherlands
syndromic surveillance
risk-based surveillance
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Twan Huybers
University of New South Wales Australia
choice modelling
choice experiments
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Luitgard Veraart
London School of Economics and Political Science United Kingdom
stochastic volatility models
systemic risk
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James Brunet
Carleton University Canada
threat modelling
usable security
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Amber Nolan
University of Washington United States of America
selective vulnerability
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Magdalena Wojcieszak
University of California, Davis United States of America
selective exposure
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Tilo Hartmann
Vrije Universiteit Amsterdam Netherlands
selective exposure
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Dustin Carnahan
Michigan State University United States of America
selective exposure
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Caroline Børsting
Aarhus University Denmark
selective information exposure
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Dorthe Nielsen
University of Southern Denmark Denmark
vulnerability
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Morgane Gabet
University of Montreal Canada
vulnerability
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