Natural Language Processing for NGOs in Global Health: Talent And Skills | A mixed-methods case study

Dissertation 4.7

Natural Language Processing for NGOs in Global Health: Talent And Skills | A mixed-methods case study

Pages

Chicago

Style

~ 36–51 mins

Reading Time

CV Cybersecurity Sustainability

Abstract

This dissertation investigates “Natural Language Processing for NGOs in Global Health: Talent And Skills | A mixed-methods case study” using a systematic literature review. Through a socio-technical lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Natural Language Processing for NGOs in Global Health: Talent And Skills | A mixed-methods case study

ABSTRACT

Natural Language Processing for NGOs in Global Health: Talent And Skills | A mixed-methods case study is unpacked across themes: ethics, risks, scalability, and change enablement. Limitations and future research paths are noted.

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