7,344
Views
30
CrossRef citations to date
0
Altmetric
Articles

Datafying anti-poverty programmes: implications for data justice

&
Pages 916-933 | Received 10 Sep 2018, Accepted 11 Jan 2019, Published online: 13 May 2019

References

  • Arora, P. (2016). Bottom of the data pyramid: Big data and the Global South. International Journal of Communication, 10, 1681–1699.
  • Avgerou, C. (2008). Information systems in developing countries: A critical research review. Journal of Information Technology, 23(3), 133–146. doi: 10.1057/palgrave.jit.2000136
  • Chaudhuri, B., & König, L. (2018). The Aadhaar scheme: a cornerstone of a new citizenship regime in India? Contemporary South Asia, 26(2), 127–142. doi: 10.1080/09584935.2017.1369934
  • Couldry, N., & Mejias, U. A. (2018). Data colonialism: Rethinking big data’s relation to the contemporary subject. Television & New Media, 1–14.
  • Cukier, K., & Mayer-Schoenberger, V. (2013). The rise of big data: How it's changing the way we think about the world. Foreign Affairs, 92, 28–36.
  • Devereux, S. (2016). Is targeting ethical? Global Social Policy: An Interdisciplinary Journal of Public Policy and Social Development, 16(2), 166–181. doi: 10.1177/1468018116643849
  • Devereux, S., & Sabates-Wheeler, R. (2004). Transformative social protection. Working paper series, 232. Brighton: IDS.
  • Devereux, S., & Vincent, K. (2010). Using technology to deliver social protection: Exploring opportunities and risks. Development in Practice, 20(3), 367–379. doi: 10.1080/09614521003709940
  • Drèze, J., Khalid, N., Khera, R., & Somanchi, A. (2017). Aadhaar and food security in Jharkhand. Economic & Political Weekly, 52(50), 50–60.
  • Drèze, J., & Khera, R. (2017). Recent social security initiatives in India. World Development, 98, 555–572. doi: 10.1016/j.worlddev.2017.05.035
  • Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. New York, NY: St. Martin's Press.
  • Gonzalez-Zapata, F., & Heeks, R. (2015). The multiple meanings of open government data: Understanding different stakeholders and their perspectives. Government Information Quarterly, 32(4), 441–452. doi: 10.1016/j.giq.2015.09.001
  • Government of India. (2015). Wiping every tear from every eye: The JAM trinity number solution. Economic survey 2015–2016. New Delhi: Government of India. http://indiabudget.nic.in/es2014-15/echapvol1-03.pdf
  • Hacking, I. (1986). Making up people. In Reconstructing individualism: Autonomy, individuality, and the self in western thought (pp. 161–171). Stanford: Stanford University Press.
  • Heeks, R. (2002). Information systems and developing countries: Failure, success, and local improvisations. The Information Society, 18(2), 101–112. doi: 10.1080/01972240290075039
  • Heeks, R., & Renken, J. (2018). Data justice for development: What would it mean? Information Development, 34(1), 90–102. doi: 10.1177/0266666916678282
  • Jerven, M. (2013). Poor numbers: How we are misled by African development statistics and what to do about it. New York, NY: Cornell University Press.
  • Joshi, A., & Moore, M. (2000). The mobilising potential of anti-poverty programmes. Discussion paper series, 374. Brighton: IDS.
  • Khera, R. (2011). Trends in diversion of grain from the public distribution system. Economic & Political Weekly, 46, 106–114.
  • Mann, L. (2018). Left to other peoples’ devices? A political economy perspective on the big data revolution in development. Development and Change, 49(1), 3–36. doi: 10.1111/dech.12347
  • Masiero, S. (2015a). Redesigning the Indian food security system through e-governance: The case of Kerala. World Development, 67, 126–137. doi: 10.1016/j.worlddev.2014.10.014
  • Masiero, S. (2015b). Will the JAM trinity dismantle the PDS? Economic & Political Weekly, 50(45), 21–23.
  • Masiero, S. (2017). Digital governance and the reconstruction of the Indian anti-poverty system. Oxford Development Studies, 45(4), 393–408. doi: 10.1080/13600818.2016.1258050
  • Masiero, S., & Prakash, A. (2015, May 11-14). The politics of anti-poverty artefacts: Lessons from the computerization of the food security system in Karnataka. 7th International Conference on Information and Communication Technologies and Development, Singapore.
  • Milan, S., & Treré, E. (2017). Big Data from the South: The Beginning of a Conversation We Must Have. Retrieved from SSRN: https://ssrn.com/abstract=3056958
  • Muralidharan, K., Niehaus, P., & Sukhtankar, S. (2016). Building state capacity: Evidence from biometric smartcards in India. American Economic Review, 106(10), 2895–2929. doi: 10.1257/aer.20141346
  • Nilekani, N., & Shah, V. (2016). Rebooting India: Realizing a billion aspirations. London: Penguin.
  • Prakash, A., & Masiero, S. (2015). Does computerization reduce pds leakage? Economic & Political Weekly, 50(50), 77–81.
  • Ramanathan, U. (2014). Biometrics use for social protection programmes in India violating human rights of the poor. Geneva: United Nations Research Institute for Social Development. Retrieved from http://www.unrisd.org/sp-hr-ramanathan
  • Rao, U. (2013). Biometric marginality: UID and the shaping of homeless identities in the city. Economic & Political Weekly, 48(13), 72–77.
  • Riessman, C. K. (2008). Narrative methods for the human sciences. Thousand Oaks, CA: Sage.
  • Saini, S., Sharma, S., Gulati, A., Hussain, S., & von Braun, J. (2017). Indian food and welfare schemes: Scope for digitization towards cash transfers. ZEF-Discussion Papers on Development Policy No. 241, Bonn, Germany.
  • Scott, J. C. (1998). Seeing like a state: How certain schemes to improve the human condition have failed. New York, NY: Yale University Press.
  • Swaminathan, M. (2002). Excluding the needy: The public provisioning of food in India. Social Scientist, 30, 34–58. doi: 10.2307/3518075
  • Taylor, L. (2017). What is data justice? The case for connecting digital rights and freedoms globally. Big Data & Society, 4(2), 1–14. doi: 10.1177/2053951717736335
  • Taylor, L., & Broeders, D. (2015). In the name of development: Power, profit and the datafication of the Global South. Geoforum; Journal of Physical, Human, and Regional Geosciences, 64, 229–237.
  • Taylor, L., Floridi, L., & Van der Sloot, B. (Eds.). (2016). Group privacy: New challenges of data technologies. London: Springer.
  • Taylor, L., & Richter, C. (2017). The power of smart solutions: Knowledge, citizenship, and the datafication of Bangalore’s Water supply. Television & New Media, 18(8), 721–733. doi: 10.1177/1527476417690028
  • UIDAI. (2010). Envisioning a role for Aadhar in the public distribution system. Retrieved from http://www.prsindia.org/uploads/media/UID/Circulated_Aadhaar_PDS_Note.pdf
  • Yadav, A. (2016). In Rajasthan, there is “unrest at the ration shop” because of error-ridden Aadhaar. Retrieved from https://scroll.in/article/805909/in-rajasthan-there-is-unrest-at-the-ration-shop-because-of-error-ridden-aadhaar