Citizen Data Science for Social Good in Complex Systems

Soumya Banerjee ()
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Soumya Banerjee: University of Oxford, Oxford, United Kingdom & Ronin Institute, Montclair, United States of America

Interdisciplinary Description of Complex Systems - scientific journal, 2018, vol. 16, issue 1, 88-91

Abstract: The confluence of massive amounts of openly available data, sophisticated machine learning algorithms and an enlightened citizenry willing to engage in data science presents novel opportunities for crowd sourced data science for social good. In this submission, I present vignettes of data science projects that I have been involved in and which have impact in various spheres of life and on social good. Complex systems are all around us: from social networks to transportation systems, cities, economies and financial markets. Understanding these complex systems may lead to solutions for problems ranging from famines, global crises, poverty, climate change and sustainable living despite over-population. Big data and citizen data science allows unprecedented computational power and collective intelligence to be brought to bear on fundamental challenges facing humanity like poverty, diseases, famines and developmental challenges.

Keywords: citizen data; Zenodo; complex systems (search for similar items in EconPapers)
JEL-codes: C51 C88 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:zna:indecs:v:16:y:2018:i:1:p:88-91

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