publication . Other literature type . Article . 2017

Citizen Data Science for Social Good in Complex Systems: Case Studies and Vignettes from Recent Projects

Banerjee, Soumya;
Open Access
  • Published: 17 Sep 2017
Abstract
The confluence of massive amounts of openly available data, sophisticated machine learning<br> algorithms and an enlightened citizenry willing to engage in data science presents novel<br> opportunities for crowd sourced data science for social good. In this submission, I present<br> vignettes of data science projects that I have been involved in and which have impact in<br> various spheres of life and on social good.<br> Complex systems are all around us: from social networks to transportation systems, cities,<br> economies and financial markets. Understanding these complex systems may lead to<br> solutions for problems ranging from famines, global crises, pover...
Subjects
free text keywords: citizen data, Zenodo, complex systems, Social sciences (General), H1-99, citizen data; Zenodo; complex systems

[1] Banerjee, S.; van Hentenryck, P. and Cebrian, M.: Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities. Palgrave Communications 1(15022), 2015, http://dx.doi.org/10.1057/palcomms.2015.22,

[2] Banerjee, S.: An Immune System Inspired Theory for Crime and Violence in Cities. Interdisciplinary Description of Complex Systems 15(2), 133-143, 2017, http://dx.doi.org/10.7906/indecs.15.2.2,

[3] Banerjee, S. et al.: Estimating Biologically Relevant Parameters under Uncertainty for Experimental Within-Host Murine West Nile Virus Infection. Journal of the Royal Society Interface 13(117), 2016, http://dx.doi.org/10.1098/rsif.2016.0130,

[4] Banerjee, S.: A bioinformatics and network analysis framework to find novel therapeutics for autoimmunity. PeerJ Preprints 5:e3217v2, 2017, http://dx.doi.org/10.7287/peerj.preprints.3217v2,

[5] Banerjee, S.: Scaling in the Immune System. Ph.D. Thesis. University of New Mexico, Albuquerque, 2013,

[6] Banerjee, S.: A bioinformatics and network analysis framework to find novel therapeutics for autoimmunity: Supplementary Resources. Zenodo, 2017, http://dx.doi.org/10.5281/zenodo.883777,

[7] Banerjee, S.: Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals Novel Patterns. preprint arXiv:1509.07313 [cs.SI], 2015,

[8] -: Ronin Institute. http://ronininstitute.org, accessed 2nd November 2017,

[9] Banerjee, S.: A Biologically Inspired Model of Distributed Online Communication Supporting Efficient Search and Diffusion of Innovation. Interdisciplinary Description of Complex Systems 14(1), 10-22, 2016, http://dx.doi.org/10.7906/indecs.14.1.2,

[10] Balch, C.; Arias-Pulido, H.; Banerjee, S.; Lancaster, A.K.: Science and technology consortia in US biomedical research: A paradigm shift in response to unsustainable academic growth. BioEssays 37 (2), 119-122, http://dx.doi.org/10.1002/bies.201400167,

[11] Banerjee, S.: Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects (Supplementary Resources). Zenodo, 2017, http://dx.doi.org/10.5281/zenodo.883783.

Abstract
The confluence of massive amounts of openly available data, sophisticated machine learning<br> algorithms and an enlightened citizenry willing to engage in data science presents novel<br> opportunities for crowd sourced data science for social good. In this submission, I present<br> vignettes of data science projects that I have been involved in and which have impact in<br> various spheres of life and on social good.<br> Complex systems are all around us: from social networks to transportation systems, cities,<br> economies and financial markets. Understanding these complex systems may lead to<br> solutions for problems ranging from famines, global crises, pover...
Subjects
free text keywords: citizen data, Zenodo, complex systems, Social sciences (General), H1-99, citizen data; Zenodo; complex systems

[1] Banerjee, S.; van Hentenryck, P. and Cebrian, M.: Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities. Palgrave Communications 1(15022), 2015, http://dx.doi.org/10.1057/palcomms.2015.22,

[2] Banerjee, S.: An Immune System Inspired Theory for Crime and Violence in Cities. Interdisciplinary Description of Complex Systems 15(2), 133-143, 2017, http://dx.doi.org/10.7906/indecs.15.2.2,

[3] Banerjee, S. et al.: Estimating Biologically Relevant Parameters under Uncertainty for Experimental Within-Host Murine West Nile Virus Infection. Journal of the Royal Society Interface 13(117), 2016, http://dx.doi.org/10.1098/rsif.2016.0130,

[4] Banerjee, S.: A bioinformatics and network analysis framework to find novel therapeutics for autoimmunity. PeerJ Preprints 5:e3217v2, 2017, http://dx.doi.org/10.7287/peerj.preprints.3217v2,

[5] Banerjee, S.: Scaling in the Immune System. Ph.D. Thesis. University of New Mexico, Albuquerque, 2013,

[6] Banerjee, S.: A bioinformatics and network analysis framework to find novel therapeutics for autoimmunity: Supplementary Resources. Zenodo, 2017, http://dx.doi.org/10.5281/zenodo.883777,

[7] Banerjee, S.: Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals Novel Patterns. preprint arXiv:1509.07313 [cs.SI], 2015,

[8] -: Ronin Institute. http://ronininstitute.org, accessed 2nd November 2017,

[9] Banerjee, S.: A Biologically Inspired Model of Distributed Online Communication Supporting Efficient Search and Diffusion of Innovation. Interdisciplinary Description of Complex Systems 14(1), 10-22, 2016, http://dx.doi.org/10.7906/indecs.14.1.2,

[10] Balch, C.; Arias-Pulido, H.; Banerjee, S.; Lancaster, A.K.: Science and technology consortia in US biomedical research: A paradigm shift in response to unsustainable academic growth. BioEssays 37 (2), 119-122, http://dx.doi.org/10.1002/bies.201400167,

[11] Banerjee, S.: Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects (Supplementary Resources). Zenodo, 2017, http://dx.doi.org/10.5281/zenodo.883783.

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