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        Artificial Intelligence and Evaluation

        Proposal review

        Emerging Technologies and Their Implications for Evaluation

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        Contributor(s)
        Bohni Nielsen, Steffen (editor)
        Mazzeo Rinaldi, Francesco (editor)
        Petersson, Gustav Jakob (editor)
        Language
        English
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        Abstract
        Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
        URI
        https://library.oapen.org/handle/20.500.12657/94001
        Keywords
        Program Evaluation; Artificial Intelligence; Digital Technologies; Governance; Big Data; Data Science
        DOI
        10.4324/9781003512493
        ISBN
        9781040128510, 9781040128510, 9781040128541, 9781003512493, 9781032843896
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        Oxford, 2025
        Imprint
        Routledge
        Series
        Comparative Policy Evaluation,
        Classification
        Public administration
        Artificial intelligence
        Automatic control engineering
        Pages
        330
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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