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AI and Poverty Reduction in Moldova: A Conceptual Simulation Framework for Social Assistance

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dc.contributor.author Ciobanu, Mihail
dc.date.accessioned 2026-07-13T07:38:21Z
dc.date.available 2026-07-13T07:38:21Z
dc.date.issued 2026
dc.identifier.isbn 978-9952-607-75-8
dc.identifier.uri https://irek.ase.md:443/xmlui/handle/123456789/5179
dc.description CIOBANU, Mihail. AI and Poverty Reduction in Moldova: A Conceptual Simulation Framework for Social Assistance. In: Beynəlxalq dəyirmi masanin materiallari, 10 fevral 2026-cı il. Bakı: “Apostrof-A”, 2026, pp. 518-524. ISBN 978-9952-607-75-8. en_US
dc.description.abstract Moldova's 31.6% poverty headcount (2023) and GDP per capita of USD 7,618 (2024) underscore urgent needs for smarter social assistance. This paper presents a conceptual simulation framework for integrating AI - machine learning, predictive analytics, and NLP - into Moldova's welfare system. Four scenarios project 12–22% reductions in exclusion errors and up to 25% cost savings, with policy implications for policymakers and development partners en_US
dc.language.iso en en_US
dc.publisher Bakı: “Apostrof-A” en_US
dc.subject artificial intelligence en_US
dc.subject poverty reduction en_US
dc.subject social assistance en_US
dc.title AI and Poverty Reduction in Moldova: A Conceptual Simulation Framework for Social Assistance en_US
dc.type Article en_US


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