Artificial Intelligence and Evaluation

Emerging Technologies and Their Implications for Evaluation
Herausgeber: Bohni Nielsen, Steffen; Petersson, Gustav Jakob; Mazzeo Rinaldi, Francesco

• Gebundenes Buch

Produktbeschreibung

Artificial Intelligence and Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. This book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 316
• Erscheinungstermin: 25. September 2024
• Englisch
• Abmessung: 229mm x 152mm x 19mm
• Gewicht: 608g
• ISBN-13: 9781032843896
• ISBN-10: 1032843896
• Artikelnr.: 70600994

Autorenporträt

Steffen Bohni Nielsen (PhD) is Director General at the Danish National Research Centre for the Working Environment, and a member of the Danish National Research and Innovation Council. He is a member of the International Evaluation Research Group (INTEVAL) and has published extensively in the field of evaluation. Francesco Mazzeo Rinaldi (PhD) is Professor at the University of Catania, Italy, and serves as the Director of the University's Research Center, LAPOSS. His main research interests include program and policy evaluation, Big Data analytics, and Artificial Intelligence. He is a member of the International Evaluation Research Group (INTEVAL). Gustav Jakob Petersson (PhD) is Senior Analyst at the Swedish Research Council. He is a member of the International Evaluation Research Group (INTEVAL) and has co-edited one of its volumes on cyber society, Big Data, and evaluation in 2017.

Inhaltsangabe

1. Evaluation in the Era of Artificial Intelligence
2. Emerging Technology and Evaluation in International Development
3. The Applications of Big Data to Strengthen Evaluation
4. Ethics and Equity in Data Science for Evaluators
5. Extracting Meaning from Textual Data for Evaluation: Lessons from Recent
Practice at the Independent Evaluation Group of the World Bank
6. Text Mining and Machine Learning in a Performance Audit of Police
Handling of Cybercrime in Norway
7. Big Data for Big Investments: Making Responsible and Effective Use of
Data Science and AI in Research Councils
8. The Use of Quantitative Text Analysis in Evaluations
9. Artificial Intelligence and Text Analysis in Evaluating Complex Social
Phenomena: The Russia-Ukraine Conflict
10. Harnessing Geospatial Approaches to Strengthen Evaluative Evidence
11. The Future of Evaluation Analytics: Case Studies of Structural Causal
Modeling in Action
12. The Algorithmization of Policy and Society: The Need for a Realist
Evaluation Approach
13. The Evaluation Industry and Emerging Technologies
14. Artificial Intelligence: Challenges for Evaluators