Assessing Policy Effectiveness using AI and Language Models : Applications for Economic and Social Sustainability / by Chandrasekar Vuppalapati

Von:

Vuppalapati, Chandrasekar, 1972- [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: International Series in Operations Research & Management Science ; 354Verlag: Cham : Springer Nature Switzerland, 2024Verlag: Cham : Imprint: Springer, 2024Beschreibung: 1 Online-Ressource (XXI, 467 p. 245 illus.)ISBN:

9783031560972

Schlagwörter:

Andere physische Formen: 9783031560965 | 9783031560989 | 9783031560996 | Erscheint auch als: 9783031560965 Druck-Ausgabe | Erscheint auch als: 9783031560989 Druck-Ausgabe | Erscheint auch als: 9783031560996 Druck-Ausgabe | Erscheint auch als: Assessing Policy Effectiveness using AI and Language Models. Druck-Ausgabe 1st ed. 2024. Cham : Springer International Publishing AG, 2024. 486 SeitenDOI: DOI: 10.1007/978-3-031-56097-2Online-Ressourcen:

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Zusammenfassung: Chapter 1: Introduction -- Chapter 2 : Natural Language Models -- Chapter 3: Large Language Models -- Chapter 4 : Macroeconomic Indicators, Aggregates, and Framework -- Chapter 5 : Economic Sustainability -- Chapter 6 : Social Sustainability -- Chapter 7: Conclusion.Zusammenfassung: This volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.PPN: PPN: 1890577405Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM

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