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Blog Entry To be Counted When They Count You: Words of Caution for the Gender Data Revolution
by Noopur Raval published Apr 19, 2021 — filed under: , , , , ,
Located in RAW
Blog Entry Call for Proposal: Big Data for Development – Initial Field Studies
by Sumandro Chattapadhyay published Apr 28, 2016 last modified Apr 28, 2016 07:28 AM — filed under: , , , ,
The Centre for Internet and Society, as part of a project with the University of Manchester and University of Sheffield, is inviting calls from researchers to undertake a brief initial study of a specific instance of use of big data for development in India. This is an exercise to build preliminary understanding of the landscape of big data for development in India, identify key research questions and priorities, and start developing connections with researchers interested in the field. The studies will be 6 weeks long - running from May to June 2016 - and the researchers are expected to produce a 3,000 words long report. We will support three field studies.
Located in Jobs
Blog Entry Brindaalakshmi.K - Gendering of Development Data in India: Beyond the Binary
by Brindaalakshmi.K published Jun 30, 2020 last modified Jun 30, 2020 10:26 AM — filed under: , , , , , ,
This report by Brindaalakshmi.K seeks to understand the gendering of development data in India: collection of data and issuance of government (foundational and functional) identity documents to persons identifying outside the cis/binary genders of female and male, and the data misrepresentations, barriers to accessing public and private services, and informational exclusions that still remain. Sumandro Chattapadhyay edited the report and Puthiya Purayil Sneha offered additional editorial support. This work was undertaken as part of the Big Data for Development network supported by International Development Research Centre (IDRC), Canada.
Located in RAW
Blog Entry Is India's Digital Health System Foolproof?
by Aayush Rathi published Dec 30, 2019 — filed under: , , , , , ,
This 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.
Located in RAW
Blog Entry Report on Understanding Aadhaar and its New Challenges
by Japreet Grewal, Vanya Rakesh, Sumandro Chattapadhyay, and Elonnai Hickock published Aug 31, 2016 last modified Mar 16, 2019 04:42 AM — filed under: , , , , , , , , ,
The Trans-disciplinary Research Cluster on Sustainability Studies at Jawaharlal Nehru University collaborated with the Centre for Internet and Society, and other individuals and organisations to organise a two day workshop on “Understanding Aadhaar and its New Challenges” at the Centre for Studies in Science Policy, JNU on May 26 and 27, 2016. The objective of the workshop was to bring together experts from various fields, who have been rigorously following the developments in the Unique Identification (UID) Project and align their perspectives and develop a shared understanding of the status of the UID Project and its impact. Through this exercise, it was also sought to develop a plan of action to address the welfare exclusion issues that have arisen due to implementation of the UID Project.
Located in Internet Governance / Blog
Blog Entry Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System
by Ambika Tandon published Oct 17, 2019 last modified Dec 06, 2019 04:57 AM — filed under: , , , , , , , , ,
In 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.
Located in RAW
Blog Entry The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems
by Ambika Tandon published Oct 18, 2019 last modified Dec 30, 2019 05:18 PM — filed under: , , , , , , , ,
Reproductive 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.
Located in Internet Governance / Blog
Blog Entry You auto-complete me: romancing the bot
by Sumandro Chattapadhyay published Jul 11, 2019 last modified Dec 06, 2019 05:00 AM — filed under: , , , , , ,
This 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.
Located in RAW
Blog Entry Big Data Governance Frameworks for 'Data Revolution for Sustainable Development'
by Meera Manoj published Jul 05, 2016 last modified Jul 05, 2016 01:13 PM — filed under: , , , , ,
A key component of the process to achieve the Sustainable Development Goals is the call for a global 'data revolution' to better understand, monitor, and implement development interventions. Recently there has been several international proposals to use big data, along with reconfigured national statistical systems, to operationalise this 'data revolution for sustainable development.' This analysis by Meera Manoj highlights the different models of collection, management, sharing, and governance of global development data that are being discussed.
Located in Internet Governance / Blog