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PET - Picking the Winners: Forecasting Emergent Technology through Bibliometrics/Altmetrics, Topic Modeling and Information Fusion


PET - Picking the Winners: Forecasting Emergent Technology through bibliometrics/Altmetrics, Topic Modeling and Information Fusion is a strategic research collaboration between Högskolan i Borås och Högskolan i Skövde

Start date

2016-12-15

End date

2018-12-14

The project will bring together a unique combination of techniques from the research fields of Information fusion, bibliometrics/altmetrics, and topic modeling in order to further advance the state-of-the-art within technology forecasting.

The project is a collaboration between University of Skövde, University of Borås, Recorded Future, and AstraZeneca.

The main expected result from the project is a framework, defined as a set of methods, that enables one to reliably detect and forecast emergent technology based on bibliometrics/altmetrics, topic modeling, and information fusion.

Project Manager

  • Alexander Karlsson

External researchers

  • Alexander Karlsson, Högskolan i Skövde
  • Mahboobeh Parsapoor, Högskolan i Skövde
  • Staffan Truvé, Recorded Future
  • Daniel Langkilde, Recorded Future
  • Kerstin Forsberg, AstraZeneca
  • Lovisa Österberg, AstraZeneca
  • Anders Hogner, AstraZeneca
  • Eric Rowcliffe, AstraZeneca
  • Udo Bauer, AstraZeneca

Areas