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Citizen Data Science for Social Good in Complex Systems

Author

Listed:
  • Soumya Banerjee

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

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.

Suggested Citation

  • Soumya Banerjee, 2018. "Citizen Data Science for Social Good in Complex Systems," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 88-91.
    • Handle: RePEc:zna:indecs:v:16:y:2018:i:1:p:88-91
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    File URL: http://indecs.eu/2018/indecs2018-pp88-91.pdf
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    References listed on IDEAS

    as
    1. Soumya Banerjee, 2016. "A biologically inspired model of distributed online communication supporting efficient search and diffusion of innovation," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 14(1), pages 10-22.
    2. Soumya Banerjee, 2016. "A biologically inspired model of distributed online communication supporting efficient search and diffusion of innovation," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 14(1), pages 10-22.
    3. Soumya Banerjee & Pascal Van Hentenryck & Manuel Cebrian, 2015. "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15022-15022, September.
    4. Soumya Banerjee, 2017. "An Immune System Inspired Theory for Crime and Violence in Cities," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 15(2), pages 133-143.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    citizen data; Zenodo; complex systems;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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