CITIZEN DATA SCIENCE FOR
SOCIAL GOOD IN COMPLEX SYSTEMS

Soumya Banerjee

University of Oxford
Oxford, United Kingdom

Ronin Institute
Montclair, United States of America

INDECS 16(1), 88-91, 2018
DOI 10.7906/indecs.16.1.6
Full text available here.
 

Received: 8th October 2017.
Accepted: 17th January 2018.
Regular article

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.

KEY WORDS

citizen data, Zenodo, complex systems

CLASSIFICATION

JEL:C51, C88


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