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Journal of Humanities, Arts and Social Science

ISSN Online: 2576-0548 ISSN Print: 2576-0556 CODEN: JHASAY
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ArticleOpen Access http://dx.doi.org/10.26855/jhass.2024.06.010

A Data-driven Analysis of STEM-related Positions in UN International Organizations

Yifei Liu, Hanfei Zhao, Yanyan Chen*

South China University of Technology, Guangzhou, Guangdong, China.

*Corresponding author: Yanyan Chen

Published: June 28,2024

Abstract

International organizations (IOs) such as the United Nations play a crucial role in addressing global challenges in the 21st century. Talents majoring in Science, Technology, Engineering, and Mathematics (STEM) play a pivotal role in IOs. However, the evaluation of how to align the competencies needed for STEM-related positions with the United Nations Competencies for the Future (UNCF) is still overlooked. This paper utilized data consisting of 986 recruitment postings from various UN recruitment websites to investigate the current STEM-related job vacancies across different UN agencies and the essential competencies needed for application. This paper utilized Python to automatically trace, extract, and count names, locations, departments, and detailed requirements. The messages were coded according to the 17 competencies of UNCF. The results show that STEM positions emphasize the key competencies of subject skills. The findings indicate that educators should focus on integrating cross-cultural communication education with relevant subject skills.

Keywords

Global competency, natural language processing, data scraping, STEM education, UN careers

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How to cite this paper

A Data-driven Analysis of STEM-related Positions in UN International Organizations

How to cite this paper: Yifei Liu, Hanfei Zhao, Yanyan Chen. (2024) A Data-driven Analysis of STEM-related Positions in UN International Organizations. Journal of Humanities, Arts and Social Science8(6), 1370-1375.

DOI: http://dx.doi.org/10.26855/jhass.2024.06.010