Towards Computational Social SustainabilityDocUID: 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
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