Computational Social Science Fusion Analytics: Combining Machine-based Methods with Explanatory Empiricism

Robert J. Kauffman, Kwansoo Kim, Sang Yong Tom Lee

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This article discusses the emergence of a computational social science analytics fusion as a mainstream scientific approach involving machine-based methods and explanatory empiricism as a basis for the discovery of new policy-related insights for business, consumer and social settings. It reflects the interdisciplinary background of the new approaches that the Hawaii International Conference on Systems Science has embraced over the years, and especially some of the recent development and shifts in the scientific study of technology-related phenomena. It also has evoked new forms of research inquiry, blended approaches to research methodology, and more pointed interest in the production of research results that have direct application in various industry contexts. We review background knowledge to showcase the methods shifts, and demonstrate the new forms of research, by showcasing contemporary applications that will be interesting to the audience on the occasion of the HICSS 50th anniversary.
Original languageEnglish
Title of host publicationProceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
EditorsTung X. Bui, Ralph Sprague
Number of pages10
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2017
ISBN (Electronic)9780998133102
Publication statusPublished - 2017
Event50th Annual Hawaii International Conference on System Sciences, HICSS 2017 - Waikoloa Village, United States
Duration: 4 Jan 20177 Jan 2017
Conference number: 50


Conference50th Annual Hawaii International Conference on System Sciences, HICSS 2017
Country/TerritoryUnited States
CityWaikoloa Village
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences

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