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Towards Computational Social Sustainability

DocUID: 2017-010 Full Text: PDF

Author: Vladimir Zadorozhny, Peter Turchin, Panos K. Chrysanthis, Patrick Manning

Abstract: We will report on research of our CSS Group (http://www.sis.pitt.edu/css) that explores advanced methods of data science to monitor prevailing trends in a comprehensive set of well-being indicators, importantly combining both micro- and macro-level dynamics in an integrated multi- dimensional system.

Keywords: Socio-technical, Big data, Data fusion

Published In: Creating Historical Knowledge Socially: New Approaches, Opportunities and Epistemological Implications of Undertaking Research with Citizen Scholars, German Historical Institute

Pages: 1

Place Published: Washington D.C.

Year Published: 2017

Project: Computational Social Sustainability Subject Area: Data Integration, Data Exploration, Knowledge Production

Publication Type: Tutorial/Seminar/Keynote/Panel

Sponsor: RDF

Citation:Text Latex BibTex XML Vladimir Zadorozhny, Peter Turchin, Panos K. Chrysanthis, and Patrick Manning. Towards Computational Social Sustainability. Creating Historical Knowledge Socially: New Approaches, Opportunities and Epistemological Implications of Undertaking Research with Citizen Scholars, German Historical Institute. 1. 2017. Washington D.C..