Centre for Internet and Society

Datafication of the Public Distribution System in India pdf

ambika — 2022-08-09T08:03:04Z

For more details visit https://cis-india.org/raw/datafication-of-the-public-distribution-system-in-india-pdf

Studying Platform Work in Mumbai and New Delhi

ambika — 2022-05-05T16:32:58Z

For more details visit https://cis-india.org/raw/studying-platform-work-in-mumbai-new-delhi.pdf

Locating Migrants in India’s Gig Economy

ambika — 2022-01-04T15:01:02Z

For more details visit https://cis-india.org/raw/locating-migrants-in-india-gig-economy.pdf

Gender and gig work: Perspectives from domestic work in India

ambika — 2021-12-07T02:11:49Z

Platforms have the potential to be instrumental in protecting workers rights, but the current platform design is not optimised to protect workers’ interests especially those of women in the gig economy, argues Ambika Tandon, a senior researcher at the Centre for Internet and Society in India and an author of the report on ‘Platforms, Power and Politics: Perspectives from Domestic and Care Work in India’.

Digital labour platforms, broadly defined as digital interfaces that enable the exchange of goods or services, have grown exponentially in cities across the world. In sectors such as transportation and delivery, Uber and similar platforms have achieved dominant status, while in other sectors platforms are still making inroads to transform consumption patterns. Researchers at India’s Centre for Internet and Society, sought to understand the impact platforms have had on the paid domestic and care work sector in India, given its importance for women workers. The workforce in this sector is largely constituted of women from Dalit, Bahujan and Adivasi (or caste-oppressed) and low-income groups, with a long history of socioeconomic and legal devaluation and lack of recognition. In this context, platforms have positioned themselves as intermediaries that will improve wages and conditions of work, pushing the sector towards formalisation.

To assess the impact of digital platforms on processes of recruitment and placement and on organisation and conditions of work, we undertook 60 in-depth interviews between June and November 2019. We chose two metropolitan cities, New Delhi in north India and Bengaluru in south India, as our field sites. These are key nodes in the migration corridors of domestic workers in the country. We spoke to workers who were searching for hourly or regular work through platforms, representatives of platform companies and state and central governments, as well as domestic workers unions. We found that platform design breeds and amplifies exclusion and discrimination along the lines of gender and caste, among other social characteristics.

Uber for domestic work

We found that the function of digital platforms in the sector is contingent on the historical organisation of domestic work, rather than any fundamental re-organisation of the supply chain. Unlike in the global North, platforms in India have thus far been unable to ‘gig-ify’, that is, break up most tasks that constitute domestic work – including child and elderly care and cooking – into short-term granular services that have been standardised. Domestic workers continue to find regular term full-time placements through marketplace platforms, which only connect employers to workers with no other role in determining work conditions. HelpersNearMe and Helper4u are examples of platforms that play this role by listing profiles of workers and making these available to employers. These placements are no different from work in the ‘offline’ sector, with complete informality and very little standardisation around hours, wages, and task constitution. As compared to this, on-demand platforms that offer short-term gigs (similar to the Uber model) have grown exponentially in the ‘deep’ cleaning segment by marketing it as a professional service with higher value than ‘regular’ cleaning services.

The function of digital platforms in the sector is contingent on the historical organisation of domestic work, rather than any fundamental re-organisation of the supply chain.

Cleaning gigs provided by on-demand companies have higher hourly wages than ‘regular’ cleaning services in the traditional sector. But accessing these opportunities requires workers to have regular access to a smartphone throughout the day, to be able to accept or reject tasks and receive payments through a mobile application or web-portal. Women workers from low income families have very low levels of digital access, with most phones being shared between families and controlled by male members. Also, the use of technical equipment such as vacuum cleaners and chemicals has led to deep cleaning being viewed as a masculine task. As a result, almost all cleaning workers we identified in the on-demand sector were men, even though cleaning is a feminised job role in the traditional economy. Some cleaning workers we spoke to did not identify as domestic workers at all, but rather viewed their work as holding a higher status than traditional cleaning. This trend of masculinisation of a job role coinciding with higher wages and social status has also been seen in other sectors globally, such as software programming.

Promises and risks of low-tech platforms

One of the reasons that women workers are more likely to find work through marketplace platforms rather than on-demand agencies is because they only require workers to have a basic or feature phone for one-time registration, and subsequently to answer calls from potential employers or the platform. Most platforms in this category do not intervene in task allocation or terms of work, which are negotiated directly between workers and employers. Algorithms and digital interfaces then only facilitate matching, as opposed to on-demand work where all aspects of the job are determined by the platform. This allows women workers to register using shared family phones, or those of their friends, neighbours, and in the case of one of our respondents, her landlady’s phone number. These platforms then may be able to provide placement opportunities to workers who are unable to find work through word-of-mouth networks. This is especially crucial as a result of the unemployment crisis triggered by the COVID-19 pandemic. However, unlike with the on-demand model, these platforms do not offer increased wages or provide better conditions of work.

Although marketplace platforms provide an additional route into finding opportunities in the sector, they also codify employers’ biases through their design. All marketplace platforms and digital placement agencies we reviewed – upwards of 20 companies – provide demographic filters to employers for filtering workers’ profiles. These include information on workers’ gender, age, religion, state of origin, and in one case, even caste. While practices of employing workers based on demographic characteristics are rampant in the sector historically, platforms build them in by design and market them as a key feature of what they are able to offer employers. These open up direct avenues for employers to discriminate against workers from minority religions and oppressed castes. It also reinforces gendered occupational segregation, as employers seek out women workers for feminised roles such as cleaning and care work, and men for tasks such as gardening and plumbing.

Power structures endemic to the domestic work sector continue to thrive in the platform economy, as do gender and caste-based occupational segregation.

Platforms have been making claims of formalising the informal sector, especially in global South economies, through increasing efficiency in matching workers to employers. Despite having the potential to be instrumental in protecting workers rights, currently platform design is not optimised to protect workers’ interests. Power structures endemic to the domestic work sector continue to thrive in the platform economy, as do gender and caste-based occupational segregation. To be able to nudge the sector towards formalisation, platforms need to directly intervene in power structures and co-design with workers, rather than merely functioning as digital recruiters. This could imply adopting practices such as removing demographic details where not relevant, introducing written contracts and minimum wage floors for placements, and addressing gender gaps in some segments of the digital economy.

This work forms part of a project on ‘Platforms, Power and Politics: Perspectives from Domestic and Care Work in India’, supported by the Association for Progressive Communications. You can read more about the project here, and find the full project report here.

This article gives the views of the author and does not represent the position of the Media@LSE blog, nor of the London School of Economics and Political Science.

The blog first published on LSE website can be accessed here

For more details visit https://cis-india.org/raw/lse-ambika-tandon-october-21-2021-ambika-tandon-gender-and-gig-work

AI in the Future of Work

ambika — 2021-12-07T01:51:42Z

Artificial Intelligence and allied technologies form part of what is being called the fourth Industrial Revolution.

Some analysts project the loss of jobs as AI replaces humans, especially in job roles that consist of repetitive tasks that are easier to automate. Another prediction is that AI, as preceding technologies, will enhance and complement human capability, rather than replacing it at large scales. AI at the workplace includes a wide range of technologies, from machine-to-machine interactions on the factory floor, to automated decision-making systems.

Studying the Platform Economy

The platform economy, in particular, is dependent on AI in the design of aggregator platforms that form a two-way market between customers and workers. Platforms deploy AI at a number of different stages, from recruitment to assignment of tasks to workers. AI systems often reflect existing social biases, as they are built using biased datasets, and by non-diverse teams that are not attuned to such biases. This has been the case in the platform economy as well, where biased systems impact the ability of marginalised workers to access opportunities. To take an example, Amazon’s algorithm to filter workers’ resumes was biased against women because it was trained on 10 years of hiring data, and ended up reflecting the underrepresentation of women in the tech industry. That is not to say that algorithms introduce biases where they didn’t exist earlier, but that they take existing biases and hard code them into systems in a systematic and predictable manner.

Biases are made even more explicit in marketplace platforms, that allow employers to review workers’ profiles and skills for a fee. In a study of platforms offering home-based services in India, we found that marketplace platforms offer filtering mechanisms which allow employers to filter workers by demographic characteristics such as gender, age, religion, and in one case, caste (the research publication is forthcoming). The design of the platform itself, in this case, encourages and enables discrimination of workers. One of the leading platforms in India had ‘Hindu maid’ and ‘Hindu cook’ as its top search term, reflecting the ways in which employers from the dominant religion are encouraged to discriminate against workers from minority religions in the Indian platform economy.

Another source of bias in the platform economy are rating and pricing systems, which can reduce the quality and quantum of work offered to marginalised workers. Rating systems exist across platform types - those that offer on-demand or location-based work, microwork platforms, and marketplace platforms. They allow customers and employers to rate workers on a scale, and are most often one-way feedback systems to review a worker’s performance (as our forthcoming research discusses, we found very few examples of feedback loops that also allow workers to rate employers). Rating systems have been found to be a source of anxiety for workers, as they can be rated poorly for unfair reasons, including their demographic characteristics. Most platforms penalise workers for poor ratings, and may even stop them from accessing any tasks at all if their ratings fall below a certain threshold. Without adequate grievance redressal mechanisms that allow workers to contest poor ratings, rating systems are prone to reflect customer biases while appearing neutral. It is difficult to assess the level of such bias without companies releasing data comparing ratings of workers by their demographic characteristics, but it has been argued that there is ample evidence to believe that demographic characteristics will inevitably impact workers ratings due to widespread biases.

Searching for a Solution

It is clear that platform companies need to be pushed into solving for biases and making their systems more fair and non-discriminatory. Some companies, such as Amazon in the example above, have responded by suspending algorithms that are proven to be biased. However, this is a temporary fix, as companies rarely seek to drop such projects indefinitely. In the platform economy, where algorithms are central to the business model of companies, complete suspension is near impossible. Amazon also tried another quick fix - it altered the algorithm to respond neutrally to terms such as ‘woman’. This is a process known as debiasing the model, through which any biased connections (such as between the word ‘woman’ and downgrading) being made by the algorithm are explicitly removed. Another solution is diversifying or debiasing datasets. In this example, the algorithm could be fed a larger sample of resumes and decision-making logics from industries that have a higher representation of women.

Another set of solutions could be drawn from anti-discrimination law, which prohibit discrimination at the workplace. In India, anti-discrimination laws protect against wage inequality, as well as discrimination at the stage of recruitment for protected groups such as transgender persons. While it can be argued that biased rating systems lead to wage inequality, there are several barriers to applying anti-discrimination law for workers in the platform economy. One, most jurisdictions, including India, protect only employees from discrimination, not self-employed contractors. Another challenge is the lack of data to prove that rating or recruitment algorithms are discriminatory, without which legal recourse is impossible. Rosenblat et al. (2016) discuss these challenges in the context of the US, suggesting solutions such as addressing employment misclassification or modifying pleading requirements to bring platform workers under the protection of the law.

Feminist principles point to structural shifts that are required to ensure robust protections for workers. Analysing algorithmic systems from a feminist lens indicates several points in the design at which interventions must be focused to ensure impact. The teams designing algorithms need to be made more diverse, along with integrating an explicit focus on assessing the impact of systems at the stage of design. Companies need to be more transparent with their data, and encourage independent audits of their systems. Corporate and government actors must be held to account to fix broken AI systems.

Ambika Tandon is a Senior Researcher at the Centre for Internet & Society (CIS) in India, where she studies the intersections of gender and technology. She focuses on women’s work in the digital economy, and the impact of emerging technologies on social inequality. She is also interested in developing feminist methods for technology research. Ambika tweets at @AmbikaTandon.

The blog was originally published in the Organization for Ethical Source

For more details visit https://cis-india.org/raw/oes-ambika-tandon-ai-in-the-future-of-work

Practicing Feminist Principles

ambika — 2021-12-07T00:54:54Z

AI can serve to challenge social inequality and dismantle structures of power.

Artificial intelligence systems have been heralded as a tool to purge our systems of social biases, opinions, and behaviour, and produce ‘hard objectivity’. However, on the contrary, it has become evident that AI systems can sharpen inequalities and bias by hard coding it. If left unattended, automated decision-making can be dangerous and dystopian.

However, when appropriated by feminists, AI can serve to challenge social inequality and dismantle structures of power. There are many routes to such appropriation – resisting authoritarian uses through movement-building and creating our own alternative systems that harness the strength of AI towards achieving social change.

Feminist principles can be a handy framework to understand and transform the impact of AI systems. Key principles include reflexivity, participation, intersectionality, and working towards structural change. When operationalised, these principles can be used to enhance the capacities of local actors and institutions working towards developmental goals. They can also be used to theoretically ground collective action against the use of AI systems by institutions of power.

Reflexivity in the design and implementation of AI would imply a check on the privilege and power, or lack thereof, of the various stakeholders involved in an ecosystem. By being reflexive, designers can take steps to account for power hierarchies in the process of design. A popular example of the impact of power differentials is in national statistics. Collected largely by male surveyors speaking to male heads of households, national statistics can often undervalue or misrepresent women’s labour and health. See Data2x. “Gender Data: Sources, Gaps, and Measurement Opportunities,” March 2017 and Statistics Division. “Gender, Statistics and Gender Indicators Developing a Regional Core Set of Gender Statistics and Indicators in Asia and the Pacific.” United Nations Economic and Social Commission for Asia and the Pacific, 2013. AI systems would need to be reflexive of such gaps and plan steps to mitigate them.

Participation as a principle focuses on the process. A participatory process would account for the perspectives and lived experiences of various stakeholders, including those most impacted by its deployment. In the health ecosystem, for instance, this would include policymakers, public and private healthcare providers, frontline workers, and patients. A health information system with a bottom-up design would account for metrics of success determined by not just high-level organisations such as the World Health Organisation and national governments, but also by providers and frontline workers. Among other benefits, participation in designing AI systems also leads to buy-in and ownership of the technology right at the outset, promoting widespread adoption.

Intersectionality calls for addressing the social difference in the datasets, design, and deployment of AI. Research across fields has shown the perpetuation of inequality based on gender, income, race, and other characteristics through AI that is based on biased datasets.

The most critical principle is to ensure that AI systems are working to challenge inequality, including inequality perpetrated by patriarchal, racist, and capitalist systems. Aligning with feminist objectives means that systems that have objectives that do not align with feminist goals – such as those that enhance state capacities to surveil and police – would immediately be excluded. Systems that are designed to exclude and oppress will not work to further feminist goals, even if they integrate other progressive elements such as intersectional datasets or dynamic consent architecture (which would allow users to opt in and out easily).

We must work towards decreasing social inequality and achieve egalitarian outcomes in and through its practice. Thus, while explicitly feminist projects such as those that produce better datasets or advocate for participatory mechanisms are of course practicing this principle, I would argue that it is also practiced by any project that furthers feminist goals. Take for example AI projects that aim to reduce hate speech and misinformation online. Given that women and other marginalised groups are often at the receiving end of violence, such work can be classified as feminist even if it doesn’t actively target gender-based violence.

All technology is embedded in social relations. Practicing feminist principles in the design of AI only serves to account for these social relations and design better, more robust systems. Feminist practitioners can mobilise these to ensure a future of AI with inclusive, community-owned, participatory systems, combined with collective challenges to systems of domination.

References

Haraway, Donna. “Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective.” Feminist Studies 14, no. 3 (1988): 575–99. https://doi.org/10.2307/3178066.

Link to the original article here

For more details visit https://cis-india.org/raw/practicing-feminist-principles

Platforms, Power and Politics: Digital Labour in India

ambika — 2021-07-20T02:42:47Z

The Centre for Internet & Society (CIS) invites you to a webinar wherein it will launch and present four research reports on digital labour in India. The webinar will be hosted on July 28, 2021 at 5 p.m. (IST) / 11.30 a.m. (UTC)

Click here to register for the Event Now

Download the brochure of the Event here

Few recent developments in labour and employment have attracted as much attention as the expansion of platform economies. Spanning a range of services and industries, digital platforms have become a permanent fixture in upper-class urban consumption in India.

In this webinar, we will launch and present four research reports on digital labour in India, hosted at the Centre for Internet and Society. Together, they uncover aspects of labouring in three dominant industries of platform work: logistics, transportation, and domestic and care work. These works were supported separately by the Azim Premji University and Foundation, and the Feminist Internet Research Network (incubated by the Association for Progressive Communications).

Informed by deep ethnographic work, these reports unpack the contours of power, control and resistance that shape the experience and outcomes of working for digital platforms. The reports arrive at the ways in which platforms, as moving techno-social assemblages [1] distribute risk and reward in ways that implicate the livelihoods, agency, and bargaining power of actors across digital platforms’ value chains.

Each of these reports also contributes towards developing a southern understanding platform work. In contexts where there is an increasing reliance on technology providers for developmental outcomes and provision of public services, and informality is the dominant labour market structure, what does it mean to work on digital platforms? By situating the histories of informal work in India, and the intersectional identities constituting informality, these reports highlight how digital platforms can both reinforce and reorient the transaction of informal service work.

With restrictions on public mobility and the “hygiene theatre”[2]resulting from the outbreak of covid-19, digital labour platforms have sought to entrench their position in urban India as providers of ‘essential services’. As digital platforms gain centre-stage in India’s various marketplaces, it becomes all the more urgent to collectively reflect upon languages of strategic intervention that can enable a worker-first and southern imagination of digital platform work, and grassroots as well as policy thought around it.

We invite researchers, practitioners, activists and students from across disciplines to join us in this venture.

The event will be segmented into 4 presentations (of 10-12 minutes each), with space for discussion and feedback at the end of each presentation. The detailed agenda, and a reading list are provided below.

Agenda

5.00 p.m.: Introduction

5.05 p.m. Session 1: Perspectives from platformisation of domestic and care work in India - Ambika Tandon and Aayush Rathi, Centre for Internet and Society

5.25 p.m.: Session 2: Promise and prescriptions in the platformisation of food delivery work in Mumbai - Simiran Lalvani, University of Oxford

5.45 p.m.: Break

5.50 p.m.: Session 3: ‘Taxi’ nahi chalata hoon main (I don’t drive a Taxi): Flexibility and risk in the Ridehailing platform economy in Mumbai - Anushree Gupta, IIT Hyderabad

6.10 p.m.: Session 4: The unbearable lightness of being: Performing precarious cab-driving in Delhi - Sarah Zia, Independent researcher

6.30 p.m.: Discussion and Closing

Moderator: Noopur Raval, AI Now

Reading List

Ambika Tandon and Aayush Rathi (2021). Platforms, Power and Politics: Perspectives from Domestic and Care Work in India.
Through exhaustive platform-mapping and feminist ethnographic work, the authors uncovers the implications of digital platforms’ operations on domestic and care workers’ civil liberties, social protection, and gainful work outcomes. Access the full report here.
Simiran Lalvani (2019). Workers’ fictive kinship relations in Mumbai app-based food delivery.
This essay unpacks the kinship term bhai (brother) in order to understand the implications of such kinship sedimentations on food delivery work in Mumbai. Complicating the notion of an atomised worker, it details how having a fictive kinship ties with a bhai eases entry to platform work, upon joining ties guide negotiation with the discipline imposed by the employer and reflects on the experience of women workers. Read the essay here.
Sarah Zia (2019). Not knowing as pedagogy: Ride-hailing drivers in Delhi.
Ride-hailing platforms have “disrupted” public transport in India since their arrival but what hasn’t received enough attention is how these platforms create a deliberate regime of information invisibility and control to keep the drivers constantly on their toes which works to the companies’ advantage. This essay explores how the lack of transparency around algorithmic structures not only prohibits drivers from knowing completely and surely about their work (“why did I get this ride?”, “why did my ratings drop?”) but also how they build tactics of coping and earning from a place of unknowing. Read the essay here.
Anushree Gupta (2019). Ladies ‘Log’: Women’s Safety and Risk Transfer in Ridehailing.
Gig work produces new risks and safety concerns that require new mediations and negotiations. This post outlines the gendered cityscapes that drivers in the ride hailing sector navigate on an everyday basis. Building on insights from fieldwork in the ridehailing economy in Mumbai, the essay argues that drivers rely not only on their spatial knowledge of the city, but also on social knowledge that genders social exchange, predicates identities and draws boundaries. Analysing women’s presence as workers and passengers/customers, the author highlights the figure of the woman and the gendered forms of labour that underpin gig workers’ everyday realities. Read the essay here.
Noopur Raval (2019). Power Chronography of Food-Delivery Work.
This essay presents the observations around the design of temporality within app-based food-delivery platforms in India. It draws on semi-structured interviews by field-researcher Rajendra and his time spent “hanging out” with food-delivery workers who are also often referred to as “hunger saviors” and “partners” in the platform ecosystem in India. Read the essay here.
Simiran Lalvani (2021). Sexual contracts of app-based food delivery: An examination of social reproduction through feeding and being fed in Mumbai, India.
What happens to socially reproductive norms of feeding when apps seem to democratise work? How does this work mediate the tension between workers’, consumers’ choices and the prescription of dominant norms about feeding and being fed? This paper examines the socio-cultural burdens and risks that arise for workers and customers through 3 interrelated aspects – (i) household requirements of food delivery work, (ii) the definition, social meanings and anxieties associated with eating out and (iii) how platforms make anxiety inducing outside food popular, if not palatable. Read the chapter here.

[1] Edwards, D.W. and B. Gelms. (2018). ‘The rhetorics of platforms: Definitions, approaches, futures’, Present Tense: Special Issue on the Rhetoric of Platforms, 6(3).

[2] Thompson, D. (July 27, 2020). Hygiene Theater Is a Huge Waste of Time. The Atlantic. Available at https://www.theatlantic.com/ideas/archive/2020/07/scourge-hygiene-theater/614599/

For more details visit https://cis-india.org/raw/platforms-power-and-politics-digital-labour-in-india

Concept Note and Agenda for Stakeholder Consultation

ambika — 2020-04-07T13:10:01Z

Digital Assets for Women’s Economic Empowerment (WEE): Addressing Barriers and Enhancing Opportunities for Women in the Informal Economy and Agriculture Day & Date: Friday, 6 December 2019 Timing: 9:30 am to 4:30 pm Venue: Conference Hall, The Claridges Hotel,12 Dr APJ Abdul Kalam Road, New Delhi

For more details visit https://cis-india.org/raw/concept-note-and-agenda-for-stakeholder-consultation

Call for Researchers: Welfare, Gender, and Surveillance

ambika — 2020-02-13T15:05:37Z

We are inviting applications for two researchers. Each researcher is expected to write a narrative essay that interrogates the modes of surveillance that people of LGBTHIAQ+ and gender non-conforming identities and sexual orientations are put under as they seek sexual and reproductive health (SRH) services in India. The researchers are expected to undertake field research in the location they are based in, and reflect on lived experiences gathered through field research as well as their own experiences of doing field research. Please read the sections below for more details about the work involved, the timeline for the same, and the application process for this call.

Call for Researchers: Download (PDF)

Description of the Work

Each researcher is expected to author a narrative essay that presents and reflects on lived experiences of people of LGBTHIAQ+ and gender non-conforming identities and sexual orientations as they seek sexual and reproductive health (SRH) services in India. We expect the essay to contribute to a larger body of knowledge around the increasing focus on data-driven initiatives for public health provision in the country and elsewhere. Accordingly, the researcher may respond to any one or more than one of the following questions, within the context of the geographical focus as specified by the researcher:

What are the modes of surveillance, especially in terms of generation and exploitation of digital data, experienced by people of marginalised gender identities and sexual orientations in India, as they avail of sexual and reproductive healthcare?
How are the lived experiences of underserved populations, such as people of marginalised gender identities and sexual orientations, shaped by gendered surveillance while accessing sexual and reproductive services?
What are the modes of governance and gender ideologies that have mediated the increasing datafication of such provision?

We expect the researchers to draw on a) the Indian Supreme Court’s framing of privacy in India, as a fundamental right, and its implications; and b) apply and/or build on feminist conceptualisations of privacy. Further, we expect the researchers to respond to the uncertain landscape of legal rights accessible to people of LGBTHIAQ+ and gender non-conforming identities and sexual orientations, especially in the current context shaped by The Transgender Persons (Protection of Rights) Act, 2019.

The researchers will undertake field research in locations of their choice, conduct interviews and discussions with people of LGBTHIAQ+ and gender non-conforming identities and sexual orientations seeking such services, and conduct formal and informal interviews with officials and personnel associated with public and private sector agencies involved in the provision of SRH services.

Eligibility and Application Process

We specifically encourage people of LGBTHIAQ+ and gender non-conforming identities and sexual orientations to submit their applications for this call for researchers.

We are seeking applications from individuals who:

Are based in the place where field study is to be undertaken, for the duration of the study;
Are fluent in the main regional language(s) spoken in the city where the study will be conducted, and in English (especially written);
Preferably have a postgraduate degree (current students should also apply) in social or technical sciences, journalism, or legal studies (undergraduate degree-holders with research or work experience should also apply); and
Have previous research and writing experiences on issues at the intersection of sexual and reproductive health, gender justice and women’s rights, and health informatics or digital public health.

Please send the following documents (in text or PDF formats) to raw@cis-india.org by Friday, January 24 to apply for the researcher positions:

Brief CV with relevant academic and professional information;
Two samples of academic/professional (published/unpublished) writing by the applicant; and
A brief research proposal (around 500 words) that should specify the scope (geographical and conceptual), research questions, and motivation of the essay to be authored by the applicant.

All applicants will be informed of the selection decisions by Friday, January 31.

Timeline of the Work

February 3-7 CIS research team will have a call with each researcher to plan out the work to be undertaken by them

February - March Researchers are to undertake field research, as proposed by the researchers and discussed with the CIS research team

March 27 Researchers are to submit a full draft essay (around 3,000 words)

March 30 - April 3 CIS research team will have call with each researcher to discuss the shared draft essays and make plans towards their finalisation

May 15 Researchers are to submit the final essay (around 5,000 words, without footnotes and references)

As part of this project, CIS will organise two discussion events in Bengaluru and New Delhi during April-June (tentatively). Event dates are to be decided in conversation with the researchers, and they will be invited to present their works in the same.

Remuneration

Each researcher will be paid a remuneration of Rs. 1,00,000 (inclusive of taxes) over two equal installments: first on signing of the agreement in February 2020, and second on submission of the final essay in May 2020.

We will also reimburse local travel expenses of each researcher upto Rs. 10,000, and translations and transcriptions expense (if any) incurred by each researcher upto Rs. 10,000. These reimbursements will be made on the basis of expense invoices shared by the researcher.

Description of the Project

Previous research conducted by CIS on the subject of sexual and reproductive health (SRH) services in India observes that there is a complex web of surveillance, or ‘dataveillance’, around each patient as they avail of SRH services from the state. In this current project, we are aiming to map the ecosystem of surveillance around SRH services as their provision becomes increasingly ‘data-driven’, and explore its implications for patients and beneficiaries.

Through this project, we are interested in documenting the roles played by both the public and the private sector actors in this ecosystem of health surveillance. We understand the role of private sector actors as central to state provision of sexual and reproductive health services, especially through the institutionalisation of data-driven health insurance models, as well as through extensive privatisation of public health services. By studying semi-private, private, and public medical establishments including hospitals, primary/community health centres and clinics, we aim to develop a comparative analysis of surveillance ecosystems across the three establishment types.

This project is led by Ambika Tandon, Aayush Rathi, and Sumandro Chattapadhyay at the Centre for Internet and Society, and is supported by a grant from Privacy International.

Indicative Reading List

We are sharing below a short and indicative list of readings that may be useful for potential applicants.

Aayush Rathi, Is India's Digital Health System Foolproof? (2019)

Aayush Rathi and Ambika Tandon, Data Infrastructures and Inequities: Why Does Reproductive Health Surveillance in India Need Our Urgent Attention? (2019)

Ambika Tandon, Feminist Methodology in Technology Research: A Literature Review (2018)

Ambika Tandon, Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System (2019)

Anja Kovacs, Reading Surveillance through a Gendered Lens: Some Theory (2017)

Lindsay Weinberg, Rethinking Privacy: A Feminist Approach to Privacy Rights after Snowden (2017)

Nicole Shephard, Big Data and Sexual Surveillance (2016)

Sadaf Khan, Data Bleeding Everywhere: A Story of Period Trackers (2019)

For more details visit https://cis-india.org/jobs/researchers-welfare-gender-surveillance-call

Project on Gender, Health Communications and Online Activism with City University

ambika — 2019-12-02T09:38:21Z

CIS is a partner on the project 'Gender, Health Communications and Online Activism in the Digital Age'. The project is lead by Dr. Carolina Matos, Senior Lecturer in Sociology and Media in the Department of Sociology at City University.

It is funded by the Global Challenges Research Fund. Ambika Tandon, Policy Officer at CIS, conducted fieldwork for the project in May and June 2019 as a research assistant.

The goal of the project is to advance research on how new communication technologies (ICTs) can be used to create awareness of gender equality and sexual and reproductive rights. It aims to assess how the use of technologies, by women's groups and feminist NGOs can empower women in developing countries to advance citizen and human rights with the intent to influence policy at the global and local level. More information on the preliminary findings of the project can be found in the downloadable presentation."

You may find Dr. Carolina Matos's presentation here.

For more details visit https://cis-india.org/internet-governance/blog/project-on-gender-health-communications-and-online-activism-with-city-university

Project on Gender, Health Communications and Online Activism with City University

ambika — 2019-11-28T13:55:21Z

For more details visit https://cis-india.org/internet-governance/files/project-on-gender-health-communications-and-online-activism-with-city-university.ppt

The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems

ambika — 2019-12-30T17:18:05Z

This article was first published by Privacy International, on October 17, 2019

Case study of MCTS: Read

On October 17th 2019, the UN Special Rapporteur (UNSR) on Extreme Poverty and Human Rights, Philip Alston, released his thematic report on digital technology, social protection and human rights. Understanding the impact of technology on the provision of social protection – and, by extent, its impact on people in vulnerable situations – has been part of the work the Centre for Internet and Society (CIS) and Privacy International (PI) have been doing.

Earlier this year, PI responded to the UNSR's consultation on this topic. We highlighted what we perceived as some of the most pressing issues we had observed around the world when it comes to the use of technology for the delivery of social protection and its impact on the right to privacy and dignity of benefit claimants.

Among them, automation and the increasing reliance on AI is a topic of particular concern - countries including Australia, India, the UK and the US have already started to adopt these technologies in digital welfare programmes. This adoption raises significant concerns about a quickly approaching future, in which computers decide whether or not we get access to the services that allow us to survive. There's an even more pressing problem. More than a few stories have emerged revealing the extent of the bias in many AI systems, biases that create serious issues for people in vulnerable situations, who are already exposed to discrimination, and made worse by increasing reliance on automation.

Beyond the issue of AI, we think it is important to look at welfare and automation with a wider lens. In order for an AI to function it needs to be trained on a dataset, so that it can understand what it is looking for. That requires the collection large quantities of data. That data would then be used to train and AI to recognise what fraudulent use of public benefits would look like. That means we need to think about every data point being collected as one that, in the long run, will likely be used for automation purposes.

These systems incentivise the mass collection of people's data, across a huge range of government services, from welfare to health - where women and gender-diverse people are uniquely impacted. CIS have been looking specifically at reproductive health programmes in India, work which offers a unique insight into the ways in which mass data collection in systems like these can enable abuse.

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. India’s health programme instituted such an information system in 2009, the Mother and Child Tracking System (MCTS), which is aimed at collecting data on maternal and child health. The Centre for Internet and Society, India, undertook a case study of the MCTS as an example of public data-driven initiatives in reproductive health. The case study was supported by the Big Data for Development network supported by the International Development Research Centre, Canada. The objective of the case study was to focus on the data flows and architecture of the system, and identify areas of concern as newer systems of health informatics are introduced on top of existing ones. The case study is also relevant from the perspective of Sustainable Development Goals, which aim to rectify the tendency of global development initiatives to ignore national HIS and create purpose-specific monitoring systems.

After being launched in 2011, 120 million (12 crore) pregnant women and 111 million (11 crore) children have been registered on the MCTS as of 2018. The central database collects data on each visit of the woman from conception to 42 days postpartum, including details of direct benefit transfer of maternity benefit schemes. While data-driven monitoring is a critical exercise to improve health care provision, publicly available documents on the MCTS reflect the complete absence of robust data protection measures. The risk associated with data leaks are amplified due to the stigma associated with abortion, especially for unmarried women or survivors of rape.

The historical landscape of reproductive healthcare provision and family planning in India has been dominated by a target-based approach. Geared at population control, this approach sought to maximise family planning targets without protecting decisional autonomy and bodily privacy for women. At the policy level, this approach was shifted in favour of a rights-based approach to family planning in 1994. However, targets continue to be set for women’s sterilisation on the ground. Surveillance practices in reproductive healthcare are then used to monitor under-performing regions and meet sterilisation targets for women, this continues to be the primary mode of contraception offered by public family planning initiatives.

More recently, this database - among others collecting data about reproductive health - is adding biometric information through linkage with the Aadhaar infrastructure. This data adds to the sensitive information being collected and stored without adhering to any publicly available data protection practices. Biometric linkage is aimed to fulfill multiple functions - primarily authentication of welfare beneficiaries of the national maternal benefits scheme. Making Aadhaar details mandatory could directly contribute to the denial of service to legitimate patients and beneficiaries - as has already been seen in some cases.

The added layer of biometric surveillance also has the potential to enable other forms of abuse of privacy for pregnant women. In 2016, the union minister for Women and Child Development under the previous government suggested the use of strict biometric-based monitoring to discourage gender-biased sex selection. Activists critiqued the policy for its paternalistic approach to reduce the rampant practice of gender-biased sex selection, rather than addressing the root causes of gender inequality in the country.

There is an urgent need to rethink the objectives and practices of data collection in public reproductive health provision in India. Rather than continued focus on meeting high-level targets, monitoring systems should enable local usage and protect the decisional autonomy of patients. In addition, the data protection legislation in India - expected to be tabled in the next session in parliament - should place free and informed consent, and informational privacy at the centre of data-driven practices in reproductive health provision.

This is why the systematic mass collection of data in health services is all the more worrying. When the collection of our data becomes a condition for accessing health services, it is not only a threat to our right to health that should not be conditional on data sharing but also it raises questions as to how this data will be used in the age of automation.

This is why understanding what data is collected and how it is collected in the context of health and social protection programmes is so important.

For more details visit https://cis-india.org/internet-governance/blog/privacy-international-ambika-tandon-october-17-2019-mother-and-child-tracking-system-understanding-data-trail-indian-healthcare

Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System

ambika — 2019-12-06T04:57:55Z

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.

Case study: Download (PDF)

Introduction

The reproductive health information ecosystem in India comprises of a range of different databases across state and national levels. These collect data through a combination of manual and digital tools. Two national-level databases have been launched by the Ministry of Health and Family Welfare - the Health Management Information System (HMIS) in 2008, and the MCTS in 2009. 4 The MCTS focuses on collecting data on maternal and child health. It was instituted due to reported gaps in the HMIS, which records monthly data across health programmes including reproductive health. There are several other state-level initiatives on reproductive health data that have either been subsumed into, or run in parallel with, the MCTS.

With this case study, we aim to evaluate the MCTS as data-driven initiative in reproductive health at the national level. It will also assess its potential 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. The methodology for the case study involved a desk-based review of existing literature on the use of health information systems globally, as well as analysis of government reports, journal articles, media coverage, policy documents, and other material on the MCTS.

The first section of this report details the theoretical framing of the case study, drawing on the feminist critique of reproductive data systems. The second section maps the current landscape of reproductive health data produced by the state in India, with a focus on data flows, and barriers to data collection and analysis at the local and national level. The case of abortion data is used to further the argument of flawed data collection systems at the national level. Section three briefly discusses the state’s imagination of reproductive health policy and the role of data systems through a discussion on the National Health Policy, 2017 and the National Health Stack, 2018. Finally, we make some policy recommendations and identify directions for future research, taking into account the ongoing shift towards big data globally to democratise reproductive healthcare.

For more details visit https://cis-india.org/raw/big-data-reproductive-health-india-mcts

Workshop on Feminist Information Infrastructure

ambika — 2019-07-09T15:35:24Z

The Centre for Internet and Society (CIS) organised a workshop on feminist infrastructure in collaboration with Blank Noise and Sangama, on 29th October, 2018. The purpose of the workshop was to disseminate the findings from a two-month long project being undertaken by researchers at Blank Noise and Sangama, with research support and training from CIS.

A group of five researchers, one from Blank Noise and four from Sangama, presented their research on different aspects of feminist infrastructure. The workshop was attended by a diverse group of participants, including activists, academics, and representatives from civil society organisations and trade unions.

Feminist infrastructure is a broadly conceptualised term referring to infrastructure that is designed by, and keeping in mind the needs of, diverse social groups with different kinds of marginality. In the field of technology, efforts to conceptualise feminist infrastructure have ranged from rethinking basic technological infrastructure, such as feminist spectrum , to community networks and tools for mobilisation . This project aimed to explore the imagination of feminist infrastructure in the context of different marginalities and lived experiences. Rather than limiting intersectionality to the subject of the research, as with most other feminist projects, this project aimed to produce knowledge from the ‘standpoint’ of those with the lived experience of marginalisation.

This report by Ambika Tandon was edited by Gurshabad Grover and designed by Saumyaa Naidu. The full report can be downloaded here.

For more details visit https://cis-india.org/internet-governance/blog/ambika-tandon-may-9-2019-workshop-on-feminist-information-infrastructure

Feminist Information Infrastructure

ambika — 2019-07-09T15:34:21Z

For more details visit https://cis-india.org/internet-governance/files/feminist-information-infrastructure