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To be Counted When They Count You: Words of Caution for the Gender Data Revolution
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by
Noopur Raval
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published
Feb 01, 2022
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filed under:
RAW Publications,
Big Data,
Researchers at Work,
BD4D,
RAW Research,
Big Data for Development
In 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.’
Located in
RAW
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Brindaalakshmi.K - Gendering of Development Data in India: Beyond the Binary
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by
Brindaalakshmi.K
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published
Jun 30, 2020
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last modified
Jun 30, 2020 10:26 AM
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filed under:
Welfare Governance,
Data Systems,
Big Data for Development,
Research,
Gender, Welfare, and Privacy,
Transgender,
Researchers at Work
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
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Ethics and Human Rights Guidelines for Big Data for Development Research
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by
Amber Sinha, Manjri Singh, Rajashri Seal, Pranav Bhaskar Tiwari, Pranav M Bidare
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published
May 19, 2020
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last modified
May 20, 2020 07:56 AM
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filed under:
Researchers at Work,
BD4D,
RAW Research,
Big Data for Development,
Artificial Intelligence
This 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
Located in
RAW
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Is India's Digital Health System Foolproof?
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by
Aayush Rathi
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published
Dec 30, 2019
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filed under:
EHR,
Big Data,
Big Data for Development,
Research,
BD4D,
Healthcare,
Researchers at Work
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
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The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems
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by
Ambika Tandon
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published
Oct 18, 2019
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last modified
Dec 30, 2019 05:18 PM
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filed under:
Big Data,
Data Systems,
Privacy,
Researchers at Work,
Internet Governance,
Research,
BD4D,
Healthcare,
Big Data for Development
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
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Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System
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by
Ambika Tandon
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published
Oct 17, 2019
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last modified
Dec 06, 2019 04:57 AM
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filed under:
Big Data,
Data Systems,
Researchers at Work,
Reproductive and Child Health,
Research,
Featured,
Publications,
BD4D,
Healthcare,
Big Data for Development
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
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You auto-complete me: romancing the bot
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by
Sumandro Chattapadhyay
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published
Jul 11, 2019
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last modified
Dec 06, 2019 05:00 AM
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filed under:
Bodies of Evidence,
Researchers at Work,
Research,
Publications,
BD4D,
Bots,
Big Data for Development
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
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Data bleeding everywhere: a story of period trackers
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by
Sumandro Chattapadhyay
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published
Jun 11, 2019
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last modified
Dec 06, 2019 05:03 AM
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filed under:
Bodies of Evidence,
Researchers at Work,
Research,
Featured,
Publications,
BD4D,
Big Data for Development
This 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.
Located in
RAW
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Can data ever know who we really are?
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by
Sumandro Chattapadhyay
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published
May 22, 2019
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last modified
Dec 06, 2019 05:02 AM
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filed under:
Bodies of Evidence,
Big Data,
Data Systems,
Researchers at Work,
Research,
Publications,
BD4D,
Big Data for Development
This 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.
Located in
RAW
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Data Infrastructures and Inequities: Why Does Reproductive Health Surveillance in India Need Our Urgent Attention?
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by
Aayush Rathi and Ambika Tandon
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published
Feb 14, 2019
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last modified
Dec 30, 2019 04:44 PM
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filed under:
Big Data,
Data Systems,
Privacy,
Researchers at Work,
Internet Governance,
Research,
BD4D,
Healthcare,
Surveillance,
Big Data for Development
In 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.
Located in
Internet Governance
/
Blog
