Reflections on Equity in Big Data

In this podcast, Reflections on Equity in Big Data, I am going to talk about the role that Big Data plays in shaping equity in sociotechnical change.

References

Akter, S., & Wamba, S. F. (2017). Big data and disaster management: a systematic review and agenda for future research. Annals of Operations Research, 283(1-2), 939–959. https://doi.org/10.1007/s10479-017-2584-2 

Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity Press. 

Cohen I. G., & Graver H. S. (2017). Cops, docs and code. A dialogue between big data in health care and predictive policing. UCDL Review, 51(437), 437-474.

Devereaux, A., & Peng, L. (2018). Give Us a Little Social Credit: To Design or to Discover Personal Ratings in the Era of Big Data. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3286666 

D'Ignazio, C., & Klein, L. F. (2020). Data feminism. The MIT Press. 

Ford, M. (2015). Rise of the Robots, the: Technology and the Threat of Mass Unemployment. Bloomsbury. 

Gupta, A., Deokar, A., Iyer, L., Sharda, R., & Schrader, D. (2018). Big data & analytics for societal impact: Recent research and trends. Information Systems Frontiers, 20(2), 185–194.

Huifeng, H. (2019, August 5). China’s social credit system shows its teeth, banning millions from taking flights, trains. South China Morning Post. https://www.scmp.com/economy/china-economy/article/2186606/chinas-social-credit-system-shows-its-teeth-banning-millions

McMains, V. (2016, May 3). Johns Hopkins study suggests medical errors are third-leading cause of death in U.S. The Hub. https://hub.jhu.edu/2016/05/03/medical-errors-third-leading-cause-of-death/. 

NIST Big Data Interoperability Framework: Volume 1, Definitions. (2015). https://doi.org/10.6028/nist.sp.1500-1 

Óskarsdóttir, M., Bravo, C., Sarraute, C., Vanthienen, J., & Baesens, B. (2020). The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Applied Soft Computing, 74, 26–39. https://doi.org/10.1016/j.asoc.2018.10.004 

Perez, C. C. (2019). Invisible women: exposing data bias in a world designed for men. Chatto & Windus.

Pugsley, Z., & Ballard, K. (2007, June). Management of endometriosis in general practice: the pathway to diagnosis. The British journal of general practice : the journal of the Royal College of General Practitioners. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2078174/. 

Reid, K. (2019). 2011 Japan earthquake and tsunami: Facts, FAQs, and how to help. World Vision. https://www.worldvision.org/disaster-relief-news-stories/2011-japan-earthquake-and-tsunami-facts. 

Selbst, A. D. (2017). Disparate Impact in Big Data Policing. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2819182 

Stewart, J. (2019). Why Does It Take So Long to Diagnose Endometriosis?: Everyday Health. EverydayHealth.com. https://www.everydayhealth.com/hs/womens-health/endometriosis-diagnosis/. 

World Bank. (2018).  Financial Inclusion Financial inclusion is a key enabler to reducing poverty and boosting prosperity. https://www.worldbank.org/en/topic/financialinclusion/overview. 

World Economic Forum. Big Data, Big Impact: New Possibilities for International Development. Cologny, Switzerland: World Economic Forum; 2012. 

Yang, C., Su, G., & Chen, J. (2017). Using big data to enhance crisis response and disaster resilience for a smart city. 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(. https://doi.org/10.1109/icbda.2017.8078684 

Yu, M., Yang, C., & Li, Y. (2018). Big Data in Natural Disaster Management: A Review. Geosciences, 8(5), 165. https://doi.org/10.3390/geosciences8050165 

Audio Clips

Benjamin, R. (2019). Video: Ruha Benjamin on "The New Jim Code? Race, Carceral Technoscience, and Liberatory Imagination". Video: Ruha Benjamin on "The New Jim Code? Race, Carceral Technoscience, and Liberatory Imagination" | 400 Years of Resistance to Slavery and Injustice. https://400years.berkeley.edu/videos/newjimcode. 

D’Ignazio, C., & Klein, L. (2020). Talking Data Feminism with Catherine D'Ignazio and Lauren F. Klein. Data2X. https://data2x.org/resource-center/talking-data-feminism-with-catherine-dignazio-and-lauren-f-klein/.