Handbook of Computational Social Science for Policy by Eleonora Bertoni (English
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In this post, we will be discussing the recently published Handbook of Computational Social Science for Policy by Eleonora Bertoni. This groundbreaking book offers a comprehensive overview of how computational social science can be applied to inform and shape public policy.
Bertoni, a leading expert in the field of computational social science, provides insights into the latest methods and techniques for analyzing large-scale social data to address complex societal challenges. The handbook covers a wide range of topics, including data collection and processing, network analysis, machine learning, and agent-based modeling.
One of the key strengths of this handbook is its emphasis on the practical application of computational social science to real-world policy issues. Bertoni provides numerous case studies and examples that demonstrate how these methods can be used to inform decision-making and policy development in areas such as healthcare, education, and social welfare.
Whether you are a researcher, policymaker, or practitioner interested in harnessing the power of computational social science for policy, this handbook is an invaluable resource. It offers a roadmap for navigating the rapidly evolving landscape of data-driven policymaking and provides a foundation for building evidence-based solutions to some of society’s most pressing challenges.
Overall, the Handbook of Computational Social Science for Policy by Eleonora Bertoni is a must-read for anyone looking to understand the intersection of social science, data science, and public policy. Pick up a copy today and discover how computational social science can revolutionize the way we approach policy-making in the 21st century.
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