Artificial Intelligence in Economic Diplomacy: Using Unsupervised Machine Learning to Identify Key Geostrategic Partners in ASEAN for the European Union

Damoc Adrian-Ioan
Additional contact information
Damoc Adrian-Ioan: Academia de Studii Economice din Bucureşti

Revista OEconomica, 2022, issue 01-2

Abstract: It is well-known that, since its emergence, the recent coronavirus pandemic has caused significant upheavals and shifts in the current political, social and economic landscape in Europe, further exacerbated by Russia’s invasion of Ukraine. For the European Union (EU), these developments have led to renewed interest in ‘strategic autonomy’, a concept involving the redefinition of the EU’s position.

Keywords: ASEAN; European Union; geopolitics; Covid-19; artificial intelligence; machine learning; diplomacy (search for similar items in EconPapers)
JEL-codes: C38 F50 F59 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://oeconomica.org.ro/abstract/611/Artificial-I ... ervised-Machine.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oen:econom:y:2022:i:01-2:id:611

Access Statistics for this article

More articles in Revista OEconomica from Romanian Society for Economic Science, Revista OEconomica Contact information at EDIRC.
Bibliographic data for series maintained by Octavian Jora ().