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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Handbook of Computational Social Science for Policy (Hardcover, 1st ed. 2023)
Loot Price: R1,710
Discovery Miles 17 100
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Handbook of Computational Social Science for Policy (Hardcover, 1st ed. 2023)
Expected to ship within 12 - 17 working days
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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 information. In detail, the chapters
cover public policy, governance, data justice and other ethical
issues. Part two consists of chapters on methodological aspects
dealing with issues such as the modelling of complexity, natural
language processing, validity and lack of data, and innovation in
official statistics. Finally, Part three describes the application
of computational methods, challenges and opportunities in various
social science areas, including economics, sociology, demography,
migration, climate change, epidemiology, geography, and disaster
management. The target audience of the book spans from the
scientific community engaged in CSS research to policymakers
interested in evidence-informed policy interventions, but also
includes private companies holding data that can be used to study
social sciences and are interested in achieving a policy impact.
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