CITIZEN DATA SCIENCE FOR
SOCIAL GOOD IN COMPLEX SYSTEMS
Soumya BanerjeeUniversity of Oxford
Oxford, United Kingdom
Montclair, United States of America
|INDECS 16(1), 88-91, 2018
Full text available here.
Received: 8th October 2017.
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.
citizen data, Zenodo, complex systems
JEL: C51, C88