Futures Foresight Methods Professors in Global

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Stephen Haben
University of Oxford United Kingdom
forecasting measures
optimization methods
clustering methods
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John Anderson
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Kate Hong
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Dave Touretzky
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Ine Steenmans
University College London United Kingdom
futures foresight methods
evaluation methods
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Andrew Patton
Duke University Singapore
forecast evaluation methods
volatility forecasting
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Siri Boe-lillegraven
University of Amsterdam Netherlands
technology foresight
strategic foresight
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Leila Sheldrick
Imperial College London United Kingdom
futures thinking
strategic foresight
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Lasse Knudsen
Aarhus University Denmark
technological foresight
future scenarios
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Emma Davis
University of Warwick United Kingdom
forecasting
surveillance methods
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Lennart Baardman
University of Michigan United States of America
predictive techniques
prescriptive techniques
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George Christodoulakis
University of Manchester United Kingdom
forecasting
financial forecasting
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Jesper Hinrich
Technical University of Denmark Denmark
probabilistic methods
tensor methods
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Tim Burness
University of Bristol United Kingdom
probabilistic methods
computational methods
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Andreas Pfenning
Carnegie Mellon University United States of America
statistical methods
mathematical methods
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
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Christopher Nowotarski
Texas A&M University United States of America
probabilistic forecasting
machine learning techniques
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Primoz Konda
Aalborg University Denmark
forecasting
computational methods
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Paul Arora
University of Toronto Canada
statistical methods
causal inference methods
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Paul Mclachlan
Technical University of Denmark Denmark
statistical methods
modeling techniques
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