| 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 |