| 書(shū)目名稱(chēng) | Handbook of Computational Social Science for Policy | | 編輯 | Eleonora Bertoni,Matteo Fontana,Michele Vespe | | 視頻video | http://file.papertrans.cn/422/421077/421077.mp4 | | 概述 | This book is open access, which means that you have free and unlimited access.Proposes how to analyse and model data for policy support by exploiting CSS methods for policy.Applies CSS methods in vari | | 圖書(shū)封面 |  | | 描述 | .This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by?exploring ways to analyse and model?data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields...To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and infor | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2023 | | 關(guān)鍵詞 | Open Access; Computational Social Science; Data Science; Big Data Analytics; Statistical Learning; Machin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-16624-2 | | isbn_softcover | 978-3-031-16626-6 | | isbn_ebook | 978-3-031-16624-2 | | copyright | The Rightsholder (if applicable) and The Author(s), under exclusive license to Springer Nature Switz |
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