Home > Electronic Advocacy

Data For Good

Data for Good is a technology enhanced social movement that aims to bring the power of data and data science to solving social problems. Volunnteers with data science and related skills work with nonprofits that are addressing today's most serious issues.


Bloomberg Data4gd  https://www.bloomberg.com/company/d4gx/

Center for Civic Media MIT https://civic.mit.edu/

Data For Good  https://dataforgood.ca/

Data Kind https://www.datakind.org/

Data Therapy   https://datatherapy.org/

Engagement Lab at Emerson College  https://elab.emerson.edu/

NYU GovLab  http://www.thegovlab.org/

SAS Data for Good  https://www.sas.com/en_us/data-for-good.html


Alemanno, A. (2018). Big Data for Good: Unlocking Privately-Held Data to the Benefit of the Many. European Journal of Risk Regulation: EJRR, 9(2), 183-191.

Bull, P., Slavitt, I., & Lipstein, G. (2016). Harnessing the power of the crowd to increase capacity for data science in the social sector. arXiv preprint arXiv:1606.07781.

Chartier, T. (2017). Data for Good: Tracking Trillion-Dollar Problems. Math Horizons, 24(4), 18-21.

Cukier, K., & Mayer-Schoenberger, V. (2013). The rise of big data: How it's changing the way we think about the world. Foreign Aff., 92, 28

Dencik, L., Hintz, A., & Cable, J. (2016). Towards data justice? The ambiguity of anti-surveillance resistance in political activism. Big Data & Society, 3(2), DOI 2053951716679678.

Diesner, J. (2015). Small decisions with big impact on data analytics. Big Data & Society, 2(2), 2053951715617185.

Erete, S., Ryou, E., Smith, G., Fassett, K. M., & Duda, S. (2016, February). Storytelling with data: examining the use of data by non-profit organizations. In
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (pp. 1273-1283). ACM.

Evans, B. J., & Krumholz, H. M. (2018). People-powered data collaboratives: fueling data science with the health-related experiences of individuals.
Journal of the American Medical Informatics Association, 26(2), 159-161.

Gutiérrez, M. (2018). Proactive Data Activism. In Data Activism and Social Change (pp. 49-105). Palgrave Pivot, Cham.

Gutiérrez, M. (2018). Data activism and social change. Palgrave Macmillan.

Heeks, R. & Renken, J. (2018) Data justice for development: what would it mean?, Information Development, 34(1), 90-102

Hellmann, D., Maitland, C., & Tapia, A. (2016, February). Collaborative analytics and brokering in digital humanitarian response. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (pp. 1284-1294). ACM.

Hou, Y., & Wang, D. (2017). Hacking with NPOs: collaborative analytics and broker roles in civic data hackathons. Proceedings of the ACM on Human-Computer Interaction, 1(CSCW), 53.

Howson, C., Beyer, M.A. Idoine, C.J, .Jones, L.C.  (2018). How to Use Data for Good to Impact Society.  Gartner. G00355735  https://www.gartner.com/doc/3880666/use-data-good-impact-society

Johnson, J. A. (2014). From open data to information justice. Ethics and Information Technology, 16(4), 263-274.

Kagan, D., Chesney, T., & Fire, M. (2019). Using Data Science to Understand the Film Industry's Gender Gap. arXiv preprint arXiv:1903.06469.

Kim, S., Mankoff, J., & Paulos, E. (2015, April). Exploring barriers to the adoption of mobile technologies for volunteer data collection campaigns. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3117-3126). ACM.

Kontokosta, C. E. (2018). Urban informatics in the science and practice of planning. Journal of Planning Education and Research, 0739456X18793716.
Kontokosta, C. E., & Malik, A. (2018). The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity. Sustainable cities and society, 36, 272-285.

Lane, J., Stodden, V., Bender, S., & Nissenbaum, H. (Eds.). (2014). Privacy, big data, and the public good: Frameworks for engagement. Cambridge University Press.

Leng, Y., Rudolph, L., Pentland, A. S., Zhao, J., & Koutsopolous, H. N. (2016). Managing travel demand: Location recommendation for system efficiency based on mobile phone data. arXiv preprint arXiv:1610.06825.

Lowman, M. (Ed.). (2017). A Practical Guide to Analytics for Governments: Using Big Data for Good. New York:  John Wiley & Sons.

Marivate, V., & Moorosi, N. (2018, May). Exploring data science for public good in South Africa: evaluating factors that lead to success. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (p. 6). ACM.

McKeever, B., Greene, S., MacDonald, G., Tatian, P. & Jones. D.  (2018). Data Philanthropy: Unlocking the Power of Private Data for Public Good. Washington, DC: Urban Institute.

McNutt, J.G.  (2018) (ed)  Technology, Activism and Social Justice in a Digital Age. London & New York:  Oxford University Press. 

Meijer, A., & Potjer, S. (2018). Citizen-generated open data: An explorative analysis of 25 cases. Government Information Quarterly, 35(4), 613-621.

Meng, A., DiSalvo, C., & Zegura, E. (2019). Collaborative Data Work Towards a Caring Democracy. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 42.
Meng, A. (2014). Investigating the roots of open data’s social impact. JeDEM-eJournal of eDemocracy and Open Government, 6(1), 1-13.

Noveck, B. S. (2015). Smart citizens, smarter state: The technologies of expertise and the future of governing. Cambridge:  Harvard University Press. 

Pfaff, T. (2015). The Definitive Guide to doing Data Science for Social Good.  https://www.kdnuggets.com/2015/07/guide-data-science-good.html

Poel, M., Meyer, E. T., & Schroeder, R. (2018). Big data for policymaking: Great expectations, but with limited progress?. Policy & Internet, 10(3), 347-367.

Smith, A. (2016). Shared, Collaborative and On Demand: The New Digital Economy. Washington, DC: Pew Internet & American Life Project. Retrieved May, 21, 2016.\

Schrock, A. R. (2016). Civic hacking as data activism and advocacy: A history from publicity to open government data. New Media & Society, 18(4), 581-599.

Schrock, A. (2018). Civic Tech: Making Technology Work for People. Rouge Academic Press.  Available at https://www.civictechs.com/

Schrock, A., & Shaffer, G. (2017). Data ideologies of an interested public: A study of grassroots open government data intermediaries. Big Data & Society, 4(1), 2053951717690750.

Susha, I., Janssen, M., & Verhulst, S. (2017). Data collaboratives as “bazaars”? A review of coordination problems and mechanisms to match demand for data with supply. Transforming Government: People, Process and Policy, 11(1), 157-172.

Susha, I., Janssen, M., Verhulst, S., & Pardo, T. (2017, June). Data collaboratives: How to create value from data for public problem solving?: Panel. In Proceedings of the 18th Annual International Conference on Digital Government Research (pp. 604-606). New York: ACM.

Susha, I., Janssen, M., & Verhulst, S. (2017). Data collaboratives as a new frontier of cross-sector partnerships in the age of open data: taxonomy development.

Susha, I., & Gil-Garcia, J. R. (2019, January). A Collaborative Governance Approach to Partnerships Addressing Public Problems with Private Data. In Proceedings of the 52nd Hawaii International Conference on System Sciences.

Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752.

Varshney, K. R., & Mojsilovic, A. (2019). Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact. arXiv preprint arXiv:1905.11519.

Verhulst, S., & Sangokoya, D. (2015). Data collaboratives: Exchanging data to improve people’s lives. https://medium. com/@ sverhulst/data-collaboratives-exchanging-data-to-improvepeople-s-lives-d0fcfc1bdd9a.

Verhulst SG & Young, A.  (2017) The Potential of Social Media Intelligence to Improve People’s Lives. The Governance Lab.
Available at http://www.thegovlab.org/static/files/publications/social-media-data.pdf.

Wong, W. H. & Brown, P. A. (2013). E-bandits in global activism: Wikileaks, Anonymous, and the politics of no one. Perspectives on Politics, 11(4), 1015–1033.

Wong, Y. C., Law, C. K., Fung, J. Y. C., & Lam, J. C. Y. (2009). Perpetuating old exclusions and producing new ones: digital exclusion in an information society. Journal of Technology in Human Services, 27(1), 57–78.

Zegura, E., DiSalvo, C., & Meng, A. (2018, June). Care and the Practice of Data Science for Social Good. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (p. 34). ACM.


Revised December 30, 2019 (c) 1998-2019   by John G. McNutt. All Rights Reserved. Limited Permission is Granted for Reproduction for Non-Commercial Educational Purposes provided that the material remain in its original form and proper credit is extended.   Disclaimer:  The content of all linked sites are beyond my control and I assume no responsibility for their  content.  Pictures from the Microsoft Clip Art Gallery.