Science Target Conference Systems, Ajman 4th International Environment Conference 2016

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Positioning Urban Big-Data with Sustainable Development Goals: A Socio-Technical Framework
Ali Kharrazi

Last modified: 2015-11-17


The predictive analysis associated with big-data has the potential to empower people and change the way urban residents interact with each other and with urban artifacts. However, the technological affordances1 associated with such innovations are in their infancy and their challenges and opportunities to public policy have not been fully understood. Ultimately we need to align these innovations with the aims of the Sustainable Developmental Goals (SDGs). This includes expanding the democratic capacity of citizens to engage in decision making, developing new business models which contribute to the harmonization of economic activity with their environment, and empowering vulnerable segments of society. Policy makers should better understand exactly how urban citizens should be part of the decision making process in selecting and deploying innovations associated with urban big-data and how this process can take into account minority views and their associated challenges. Fundamentally, the design and contextual application of urban big-data for resilient infrastructure requires a socio-technical framework2 which is human-centered and focused on inclusion and engagement of urban citizens to guide public policy and decision making. The main output of this research is a socio-technical framework for positioning the emergence of a human-centered urban big-data with progressing towards SDGs and more specifically in building resilient infrastructures.

1 Ciborra (2004) “The Labyrinths Of Information: Challenging The Wisdom Of Systems”. Oxford University Press, Oxford, UK.
2 Mumford (2006)."The story of socio-technical design: reflections in its successes, failures & potential". Inf. Syst. 16, 317–342