Big Data for Development Network
To be Counted When They Count You: Words of Caution for the Gender Data Revolution
— by Noopur Raval — last modified Feb 01, 2022 01:06 AMIn 2015, after the announcement of the SDGs or Sustainable Development Goals, a new global developmental framework through the year 2030, the United Nations described data as the “lifeblood of decision-making and the raw material for accountability” for the purpose of realizing these developmental goals. This curious yet key link between these new developmental goals and the use of quantitative data for agenda setting invited a flurry of big data-led initiatives such as but not limited to Data2X, that sought to further strengthen and solidify the relationship between ‘Big Development’ and ‘Big Data.’
Ethics and Human Rights Guidelines for Big Data for Development Research
— by Amber Sinha, Manjri Singh, Rajashri Seal, Pranav Bhaskar Tiwari, Pranav M Bidare — last modified May 20, 2020 07:56 AMThis is a four-part review of guideline documents for ethics and human rights in big data for development research. This research was produced as part of the Big Data for Development network supported by International Development Research Centre, Canada
Is India's Digital Health System Foolproof?
— by Aayush Rathi — last modified Dec 30, 2019 05:58 PMThis contribution by Aayush Rathi builds on "Data Infrastructures and Inequities: Why Does Reproductive Health Surveillance in India Need Our Urgent Attention?" (by Aayush Rathi and Ambika Tandon, EPW Engage, Vol. 54, Issue No. 6, 09 Feb, 2019) and seeks to understand the role that state-run reproductive health portals such as the Mother and Child Tracking System (MCTS) and the Reproductive and Child Health will play going forward. The article critically outlines the overall digitised health information ecosystem being envisioned by the Indian state.
The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems
— by Ambika Tandon — last modified Dec 30, 2019 05:18 PMReproductive health programmes in India have been digitising extensive data about pregnant women for over a decade, as part of multiple health information systems. These can be seen as precursors to current conceptions of big data systems within health informatics. In this article, published by Privacy International, Ambika Tandon presents some findings from a recently concluded case study of the MCTS as an example of public data-driven initiatives in reproductive health in India.
Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System
— by Ambika Tandon — last modified Dec 06, 2019 04:57 AMIn this case study undertaken as part of the Big Data for Development (BD4D) network, Ambika Tandon evaluates the Mother and Child Tracking System (MCTS) as data-driven initiative in reproductive health at the national level in India. The study also assesses the potential of MCTS to contribute towards the big data landscape on reproductive health in the country, as the Indian state’s imagination of health informatics moves towards big data.
You auto-complete me: romancing the bot
— by Sumandro Chattapadhyay — last modified Dec 06, 2019 05:00 AMThis is an excerpt from an essay by Maya Indira Ganesh, written for and published as part of the Bodies of Evidence collection of Deep Dives. The Bodies of Evidence collection, edited by Bishakha Datta and Richa Kaul Padte, is a collaboration between Point of View and the Centre for Internet and Society, undertaken as part of the Big Data for Development Network supported by International Development Research Centre, Canada.
Data bleeding everywhere: a story of period trackers
— by Sumandro Chattapadhyay — last modified Dec 06, 2019 05:03 AMThis is an excerpt from an essay by Sadaf Khan, written for and published as part of the Bodies of Evidence collection of Deep Dives. The Bodies of Evidence collection, edited by Bishakha Datta and Richa Kaul Padte, is a collaboration between Point of View and the Centre for Internet and Society, undertaken as part of the Big Data for Development Network supported by International Development Research Centre, Canada.
Can data ever know who we really are?
— by Sumandro Chattapadhyay — last modified Dec 06, 2019 05:02 AMThis is an excerpt from an essay by Zara Rahman, written for and published as part of the Bodies of Evidence collection of Deep Dives. The Bodies of Evidence collection, edited by Bishakha Datta and Richa Kaul Padte, is a collaboration between Point of View and the Centre for Internet and Society, undertaken as part of the Big Data for Development Network supported by International Development Research Centre, Canada.
Data Infrastructures and Inequities: Why Does Reproductive Health Surveillance in India Need Our Urgent Attention?
— by Aayush Rathi and Ambika Tandon — last modified Dec 30, 2019 04:44 PMIn order to bring out certain conceptual and procedural problems with health monitoring in the Indian context, this article by Aayush Rathi and Ambika Tandon posits health monitoring as surveillance and not merely as a “data problem.” Casting a critical feminist lens, the historicity of surveillance practices unveils the gendered power differentials wedded into taken-for-granted “benign” monitoring processes. The unpacking of the Mother and Child Tracking System and the National Health Stack reveals the neo-liberal aspirations of the Indian state.
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