Designing healthy and sustainable food systems: how is research contributing?
| Autor: | Lahatte, Agénor, De Turckheim, Elisabeth, Chalumeau, Lucile |
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| Přispěvatelé: | OST, Observatoire des Sciences et des Techniques, Délégation à l'évaluation, Institut National de la Recherche Agronomique (INRA), DGESIP, Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI), Haut Conseil d’évaluation de la recherche et de l’enseignement supérieur, The International Society for Informetrics and Scientometrics (ISSI). Louvain, BEL. European Network of Indicator Designers (ENID), DEU. |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Proceedings of the 17th ISSI Conference 17. International Conference on Scientometrics 1 Informetrics (ISSI 2019) 17. International Conference on Scientometrics 1 Informetrics (ISSI 2019), Sep 2019, Rome, Italy 17. International Conference on Scientometrics 1 Informetrics (ISSI 2019), The International Society for Informetrics and Scientometrics (ISSI). Louvain, BEL. European Network of Indicator Designers (ENID), DEU., Sep 2019, Rome, Italy |
| Popis: | A method for delineating the research area addressing a complex global problem is developed in a context where no core set of documents is available and where the objectives of the research are described as the production of broad knowledge related to societal outcomes. The method, entirely based on textual analysis has two steps: (a) multi-terms selected from a policy document are used to retrieve documents from a publication database, (b) a LDA topic model fitted to the retrieved corpus allows to identify irrelevant topics and to remove the corresponding documents. Once the corpus is cleaned, topics are clustered on the base of their semantic proximities and of their co-occurrence in documents for structuring the domain into main research themes. The method is applied to a selected facet of the food security challenge and provides a representative sample of research works in the domain. Structuring the corpus into six research themes allows to compare the thematic profiles and the research practices of twelve countries most involved in the domain. |
| Databáze: | OpenAIRE |
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