Big Data in Computational Social Science and Humanities

Inbunden, Engelska, 2018

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The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research?

Produktinformation

Utgivningsdatum2018-11-29
Mått155 x 235 x 25 mm
Vikt756 g
FormatInbunden
SpråkEngelska
SerieComputational Social Sciences
Antal sidor388
FörlagSpringer International Publishing AG
ISBN9783319954646

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Mikroekonomi inom Ekonomi och ledarskap
Databaser inom Data och it
Affärsförhandlingar inom Ekonomi och ledarskap
Statsvetenskap och politisk teori inom Samhalle och politik
Filosofi inom Filosofi och religion
Teknik: allmänt inom Naturvetenskap och teknik

Shu-Heng Chen is a Taiwanese economist and currently a Distinguished Professor at the Department of Economics at National Chengchi University. He is also the founder and Director of the AI-ECON Research Center at the National Chengchi University. His contributions are in the area of computational approaches to understanding economic and finance problems, in particular, the use of heterogeneous agent-based approach and genetic programming in economics. He is considered one of the pioneers in the field of agent-based computational economics and the first to introduce genetic programming to ACE. He takes a biologically-inspired approach in modeling the boundedly rational behavior of agents and is influenced by the work of Herbert A. Simon.

Big Data in Computational Social Sciences and the Humanities: An Introduction.- Part I: Practice.- Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities.- Telling Stories Through R: Geo-temporal Mappings of Epigraphic.- Expressing Dynamic Maps through 17th-Century Taiwan Dutch Manuscripts.- Has Homo economicus Evolved into Homo sapiens from 1992 to 2014?: What Does Corpus Linguistics Say?.- Big Data and FinTech.- Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973-2016).- How Does Linguistic Complexity in Shakespeare’s Plays Relate to the Production History of a Commercial American Theatre?.- Language Communities, Corpora, and Cognition.- From Naive Expectation to Realistic Progress – Government Applications of Big Data to Public Opinions Mining.- Understanding “the User-Generated”: The Construction of the “ABC model” and the Imagination of “Digital Humanities”.- Part II: Survey and Challenges.- Big Data Finance and Financial Markets.- Applications of Internet Methods in Psychology.- Spatial Humanities: An Integrated Approach to Spatiotemporal Research.- Cloud Computing in the Social Sciences and Humanities.- Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process Spatial Humanities.- Big Data and Research Opportunities Using HRAF Databases.- Computational History: From Big Data to Big Simulations.- A Posthumanist Reflection on the Digital Humanities and Social Sciences.