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

Author

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  • Damoc Adrian-Ioan

    (Academia de Studii Economice din Bucureşti)

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.

Suggested Citation

  • Damoc Adrian-Ioan, 2022. "Artificial Intelligence in Economic Diplomacy: Using Unsupervised Machine Learning to Identify Key Geostrategic Partners in ASEAN for the European Union," Revista OEconomica, Romanian Society for Economic Science, Revista OEconomica, issue 01-2.
    • Handle: RePEc:oen:econom:y:2022:i:01-2:id:611
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    More about this item

    Keywords

    ASEAN; European Union; geopolitics; Covid-19; artificial intelligence; machine learning; diplomacy;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • F50 - International Economics - - International Relations, National Security, and International Political Economy - - - General
    • F59 - International Economics - - International Relations, National Security, and International Political Economy - - - Other

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