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  4. Structuring the unknown - insights on waste management research in Europe
 
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2023
Conference Paper
Title

Structuring the unknown - insights on waste management research in Europe

Abstract
Innovation managers and other professionals dealing with new technologies need to be able to quickly gain an overview over broad topics. This work introduces a method combining the semantic information of scientific publications with its respective metadata. To do so, a Latent Dirichlet Analysis and K-Means Clustering are performed. As a proof of concept, the topic of waste management in Europe is chose. The subject is approached with the help of a classification system based on the SDGs. More specifically, SGD12 is used as starting point to approach the topic. Afterwards the analysis is limited to waste management. The results show what topics are researched in this context and which disciplines are concerned with them.
Author(s)
Martini, Melanie  orcid-logo
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
John, Marcus  
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Mainwork
XXXIV ISPIM Innovation Conference "Innovation and Circular Economy" 2023  
Conference
International Society for Professional Innovation Management (ISPIM Innovation Conference) 2023  
Language
English
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Keyword(s)
  • Sustainability

  • SDG

  • Waste management

  • Semantic analysis

  • Bibliometrics

  • Data Driven Foresight

  • Topic Modelling

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