Centre for Internet and Society

#MappingDigitalLabour - Panel discussion on platform-work in Mumbai and New Delhi

sumandro — 2019-07-20T11:58:19Z

With the rise and popularity of app-based platforms such as Ola, Uber, Swiggy Zomato, and others, there are growing public conversation about regulation of such 'gig-work' platforms and the work conditions of people who work for them. The Centre for Internet and Society (CIS) invites you to a panel discussion on Friday, July 19 in our Bangalore office, where the researchers associated with the project will present preliminary findings, and ethical and methodological challenges of studying app-based platform-work in India. Panelists Anushree Gupta, Rajendra Jadhav, Sarah Zia and Simiran Lalvani, who have conducted field studies of ride-hailing and food-delivery work in Mumbai and New Delhi, will share their preliminary field insights along with reflections on what it meant to do such studies, how they went about studying gig-work, and challenges that arose in their work. The discussion will be moderated by Noopur Raval who co-led the project. We invite scholars, journalists, and all interested members of the public to join us for the event. Tea and snacks will be served at 5 pm.

This project is supported by research assistance from the Azim Premji University.

Download: Poster and Flyer

Session Recording: Video (YouTube)

Agenda

5:00 pm - Tea and snacks in the CIS lawn

5:30 pm - Introduction to the project (Sumandro)

5:40-6:20 pm - Reflections based on field studies by the speakers (Anushree, Rajendra, Sarah, and Simiran)

6:20-6:40 pm - Speakers' responses to questions posed by the moderator (speakers and Noopur)

6:40-7:15 pm - Open discussion (moderated by Noopur)

Speakers and Moderator

Anushree Gupta is a Research Associate at Tandem Research. She is interested in studying the embeddedness of technology in society, with a focus on technical workers. Her research interests include technology mediated work, digital technologies and labour sociology. Her masters thesis examined the structure and dissemination of training in vocational education institutes (ITIs). Anushree has worked professionally on software development projects, including game development and social media analytics. She holds an MA in Development Studies from the Tata Institute of Social Sciences, Mumbai and a B. Tech. (ICT) from DA-IICT, Gandhinagar.

Anushree studied dimensions of platform-work among taxi drivers in Mumbai for this project.

Rajendra Jadhav is working as a research consultant, research fellow, researcher and research mentor with various non government organisations and academic institute for last 12 years. Rajendra has worked with Tata Institute of Social Sciences Mumbai as a Research Officer, as Program Director for PUKAR’s Youth Research Fellowship Program, and with National Dalit Watch - NCDHR, New Delhi as a National Coordinator for Research and Advocacy. Rajendra has pursued MA in Media and Cultural Studies from Tata Institute of Social Sciences, Mumbai.

Rajendra studied dimensions of platform-work among food delivery persons in New Delhi for this project.

Sarah Zia is an education reporter working with Live Mint, and has previously worked with the Times of India and has undertaken an independent study of mobility and transport in Delhi (focusing on paratransit in Delhi and the Delhi Ring Railway). Sarah has pursued MA in Mass Communication from AJK Mass Communication Research Centre, Jamia Millia Islamia, Delhi.

Sarah studied dimensions of platform-work among taxi drivers in New Delhi for this project.

Simiran Lalvani is currently working as a Consultant at Microsoft Research on a Future of Work project. She has an MA in Development and Labour Studies from the Centre for Informal Sector and Labour Studies, Jawaharlal Nehru University (JNU), New Delhi.

Simiran studied dimensions of platform-work among food delivery persons in Mumbai for this project.

Noopur Raval is a PhD researcher at the University of California Irvine where she studies issues of labor technology. She has also worked with the Wikimedia Foundation and Microsoft Research in the past. She is interested in questions of intersectionality, and is an avid consumer of popular culture and food.

Noopur is a co-principal investigator of this project (along with Sumandro).

For more details visit http://editors.cis-india.org/raw/platform-work-india-panel-discussion-20190719

Data bleeding everywhere: a story of period trackers

sumandro — 2019-12-06T05:03:09Z

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.

Please read the full essay on Deep Dives: Data bleeding everywhere: a story of period trackers

Sadaf Khan: Media Matters for Democracy and Twitter

...By now there are a number of questions buzzing around my head, most of them unasked. Are users comfortable with so much of their data being collected? Are there really algorithms that string together all this data into medically-relevant trends? How reliable can these trends be when usage is erratic? Are period tracking apps pioneering, fundamental elements of a future where medical aid is digital and reliable data is inevitably linked to the provision of medical services? And if so, are privacy and health soon to become conflicting rights?

I also want to find out how users understand data collection and privacy before giving apps consent to utilize their data and information as they will. Hareem says she gives apps informed consent. ‘If my data becomes a part of the statistics aiding medical research, why not? There is no harm in it. I am getting a good service, and if my data helps create a better understanding as a part of a larger statistical pool, they are welcome to use it.’

But is she really sure that this information will be used only as anonymised data for medical research? ‘Look at the kind of information that is being collected,’ she answers. ‘Dates, mood, consistency of mucus, basal temperature. What kind of use does one have for this data?’

Naila, in turn, says: ‘Honestly, I have never really thought about what happens to the data the application collects. Obviously I enter detailed information about my cycle and my moods and my sex life. But a), my account is under a fake name and b), even if it wasn’t, who would have any use for stuff like when my period starts and ends and what my mood or digestive system is like at any given moment?’

In fact, this sentiment is shared among all the women interviewed for this piece — what use would anyone have for this data?

As users, we often imagine our own data as anonymised within a huge dataset. But as users, we don’t have enough information about how our data is being used — or will be used in future. The open and at times vague language of a platform’s terms and conditions allows menstrual apps to use data in ways that I may not know of. Some apps continue to hold customer data even after an account is deleted. Even though I may technically ‘agree’ to the terms and conditions, is this fully informed consent?

One of the big concerns around this kind of medical information being collected is the potential for collaborations with big pharmaceuticals and other health service providers. With apps sitting on a goldmine of users’ fertility and health information, health service providers might mine their data for potential consumers and reach out directly to them. While this is like any targeted marketing campaign, the fact that the advertiser is likely to be offering medical services to women suffering from infertility and are at their most vulnerable, raises totally different ethical concerns.

And these apps and their businesses might grow in directions that users haven’t taken into consideration. Take Ovia’s health feature for companies to buy premium services for their employees. While the gesture is packaged as a goodwill one, it also means that an employer has access to extremely private and intimate medical information about their women employees. And while the data set is anonymised, it is still possible to figure out the identity of users based on specific information. For example, how many women in any company are pregnant at any given time?...

Pregnant a year after my miscarriage, I initially downloaded multiple apps in a bid to find a good fit. I don’t know which one of these was in communication with Facebook. But almost immediately, my Facebook timeline started becoming littered with ads for baby stuff — clothes, shoes bibs, prams, cribs, ointments for stretch marks, maternity wear, the works.

It makes me think of those old school clockwork-style videos. You drop a ball and off it goes: making dominos fall, knocking over pots and pans, setting in motion absurd, synchronized mechanisms. Similarly, I drop my data and watch it hurtle into my life, on to other platforms, off to vendors. Maybe to stalkers? To employers? Who knows.

For more details visit http://editors.cis-india.org/raw/sadaf-khan-data-bleeding-everywhere-a-story-of-period-trackers

Yesha Paul

sumandro — 2019-06-03T12:06:07Z

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Shruti Trikanad

sumandro — 2019-06-03T11:58:37Z

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Radhika Radhakrishnan

sumandro — 2019-05-31T09:19:37Z

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Open Data and Land Ownership

sumandro — 2019-05-22T11:32:18Z

In this chapter of the recently published volume on State of Open Data, Tim Davies and Sumandro Chattapadhyay discuss how the lessons from the land ownership field highlight the political nature of data, and illustrate the importance of politically aware interventions when creating open data standards, infrastructure, and ecosystems. State of Open Data, edited by Tim Davies, Stephen B. Walker, Mor Rubinstein, and Fernando Perini, is published by African Minds and International Development Research Centre, Canada.

State of Open Data: Website and Book (Open Access)

Chapter on Open Data and Land Ownership: Zenodo (PDF)

Key Points

- Global availability of land ownership and land deals data is patchy, but, when available, it has been used by individual citizens, entrepreneurs, civil society, and journalists.

- Over the last decade, a number of responsible data lessons have been learned. These lessons can provide guidance on how to balance transparency and privacy and on how to draw research conclusions from partial data.

- In spite of large donor investments in land registration systems, few resources are currently made available to enable open data related to these projects. There are untapped opportunities as a result.

- Lessons from the land ownership field highlight the political nature of data, and illustrate the importance of politically aware interventions when creating open data standards, infrastructure, and ecosystems.

For more details visit http://editors.cis-india.org/openness/open-data-and-land-ownership

Can data ever know who we really are?

sumandro — 2019-12-06T05:02:53Z

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.

Please read the full essay on Deep Dives: Can data ever know who we really are?

Zara Rahman: The Engine Room, Website, and Twitter

If I didn’t define myself for myself, I would be crunched into other people’s fantasies for me and eaten alive.
– Audre Lorde

The proliferation of digital data and the technologies that allow us to gather that data can be used in another way too — to allow us to define for ourselves who we are, and what we are.

Amidst a growing political climate of fear, mistrust and competition for resources, activists and advocates working in areas that are stigmatised within their societies often need data to ‘prove’ that what they are working on matters. One way of doing this is by gathering data through crowdsourcing. Crowdsourced data isn’t ‘representative’, as statisticians say, but gathering data through unofficial means can be a valuable asset for advocates. For example, data collating the experiences of women who have reported incidents of sexual violence to the police in India, can then be used to advocate for better police responses, and to inform women of their rights. Deservedly or not, quantifiable data takes precedence over personal histories and lived experience in getting the much-desired currency of attention.

And used right, quantifiable data — whether it’s crowdsourced or not — can also be a powerful tool for advocates. Now, we can use quantifiable data to prove beyond a question of a doubt that disabled people, queer people, people from lower castes, face intersecting discrimination, prejudice, and systemic injustices in their lives. It’s an unnecessary repetition in a way, because anybody from those communities could have told reams upon reams of stories about discrimination — all without any need for counting.

Regardless, to play within this increasingly digitised system, we need to repeat what we’ve been saying in a new, digitally-legible way. And to do that, we need to collect data from people who have often only ever been de-humanised as data subjects.

Artist and educator Mimi Onuoha writes about the challenges that arise while collecting such data, from acknowledging the humans behind that collection to understanding that missing data points might tell just as much of a story as the data that has been collected. She outlines how digital data means that we have to (intentionally or not) make certain choices about what we value. And the collection of this data means making human choices solid, and often (though not always) making these choices illegible to others.

We speak of black boxes when it comes to the mystery choices that algorithms make, but the same could be said of the many human decisions that are made in categorising data too, whether that be choosing to limit the gender drop-down field to just ‘male/female’ as with Fitbits, or a variety of apps incorrectly assuming that all people who menstruate also want to know about their ‘fertile window’. In large systems with many humans and machines at work, we have no way of interrogating why a category was merged or not, of understanding why certain anomalies were ignored rather than incorporated, or of questioning why certain assumptions were made.

The only thing we can do is to acknowledge these limitations, and try to use those very systems to our advantage, building our own alternatives or workarounds, collecting our own data, and using the data that is out there to tell the stories that matter to us.

For more details visit http://editors.cis-india.org/raw/zara-rahman-can-data-ever-know-who-we-really-are

Manuel Beltrán - IoHO - April 01, 2019

sumandro — 2019-04-01T07:57:29Z

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Manuel Beltrán - IoHO

sumandro — 2019-04-01T06:06:42Z

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Manuel Beltrán - Institute of Human Obsolescence - Cartographies of Dispossession

sumandro — 2019-04-01T08:00:05Z

Join us at the Delhi office of CIS on Thursday, April 4, at 5 pm for a talk by Manuel Beltrán, founder of the Institute of Human Obsolescence (IoHO), which explores the future of labour and the changing relationship between humans and machine. Cartographies of Dispossession (CoD), their current project at IoHO, explores the forms of systematic data dispossession that different humans are subject to, and investigates how data becomes both the means of production as much as the means of governance.

Image credit: Manuel Beltrán

Institute of Human Obsolescence - Cartographies of Dispossession

The Institute of Human Obsolescence (IoHO) explores the future of labour and the changing relationship between humans and machine. Our work develops from a scenario in which forms of manual and intellectual labour traditionally performed by humans are increasingly automated by new technologies. In this context we investigate and challenge the socio-political and economic implications of new forms of labour, such as the production of data. The IoHO developed several projects exploring the production of data as a form of labour, as a different paradigm through which to interrogate and challenge dynamics of ownership over the production of data and the economic and governance objects emerging through it. Previous lines of inquiry around the framework of Data Labour Rights include Data Basic Income, Data Cooperative, Data Production Labour series, Investigative Discussion Sessions and Data Workers Union.

In this talk founder of the IoHO Manuel Beltrán, will introduce the work of the IoHO and discuss their current project Cartographies of Dispossession (CoD). CoD explores the forms of systematic data dispossession that different humans are subject to, and investigates how data becomes both the means of production as much as the means of governance. The project looks at the implications of how the dispossession of data unequally occurs in different contexts, through different means and for different purposes.

Instruments such as the Right Of Access provided by GDPR emerge from a European context but the flows of data operate in a transnational scale. We are exploring the potential and limits of this instrument in combination with others such as the Right To Information in India as tools to investigate and repossess our production of data across borders. We are particularly interested in feedback and discussing in how to think further about this last part.

Manuel Beltrán

Manuel is an artist and activist. He researches and lectures on contemporary art, activism, contemporary social movements, post-digital culture and new media. As an activist, he was involved in the Indignados movement in Spain, the Gezi Park protests in Turkey and several forms of independent activism and cyber-activism in Europe and beyond. In 2012 he co-founded the art collective Plastic Crowds and since 2013 he is head and co-founder of the nomadic school and artistic organization Alternative Learning Tank. In 2015 he founded the Institute of Human Obsolescence, through which he explores the future of labour, the social and political implications regarding our relationship with technology and the economic and governance systems surrounding the production of data.

http://speculative.capital

https://dataworkers.org

For more details visit http://editors.cis-india.org/raw/manuel-beltran-ioho-cartographies-of-dispossession

Digital Knowledge - Posts

sumandro — 2019-03-16T05:24:24Z

For more details visit http://editors.cis-india.org/raw/digital-knowledge-posts

Digital Knowledge

sumandro — 2019-03-16T06:31:14Z

In this cluster, we study the digital conditions of production, circulation, consumption, appropriation, storage, and re-usage of various forms of knowledge in India. It brings together our interests in digital literacy, education and pedagogy; technological infrastructures and devices of digital learning; open access, open educational resources, open data, and open knowledge practices in general and their ecosystems; Internet and the emerging authorities, modes, and platforms of knowledge and education; computational methods in arts, humanities, social science, and natural science research; and software and hardware innovations towards knowledge infrastructures and practices.

Digital Knowledge: All Posts

Previous Projects

Data Systems

sumandro — 2019-03-16T06:29:37Z

The systems and economies of data has emerged as a key concern of the contemporary 'information'/'informatising' societies. In this cluster we explore the various manifestations and implications of digital data in the context of the Indian society and government – supply, demand, and usages of government data; electronic government and data-driven delivery of services; Internet of things, locative media, and smart cities; infrastructures, systems, and circuits of data collection, storage, sharing, and re-usage; and concerns of ownership and privacy around personal data.

Data Systems: All Posts

Ongoing Projects

Urban Data Justice (2019)

Life of a Tuple: National Register of Citizens (NRC) and the Reform of Citizen Identification Infrastructure in Assam (2018-2019)

In a relational database, a tuple is an ordered set of data constituting a record. Imagine a relational database as a table with pre-defined columns that define the scope of information required for each row. A tuple is a row in this table. Ultimately, in any database designed to ease practices of governance, the life story of a citizen becomes a tuple after the process of data collection, verification, and curation. This tuple has its own life and this project is designed around documenting its life story, which may or may not map seamlessly onto the life of the citizen that it aims to capture, encode, represent, and ultimately, alter.

Our research investigates the process of updating of the National Register of Citizens (NRC) in Assam as a case study to focus on one of the core problems of governance: the unique identification of citizens by the state. The NRC, as a part of the National Population Register (NPR), is a list of only Indian citizens, and is presently in the process of being updated only in Assam [1]. Our effort is geared towards tracing the process of updating the NRC from its conceptualization and design to its current deployment, while also closely attending to current on-the-ground reactions to its implementation.

Project outputs: https://cis-india.org/raw/life-of-a-tuple/

Big Data for Development Network

Big Data for Development (BD4D) Research Network is a Southern-led partnership with the objective of developing policy relevant research on big data for development that is conceptualized and implemented by Southern organizations. The network acts to develop capacity amongst researchers from the Global South, focusing on activities linked to the Sustainable Development Goals (SDGs) and to those that address gender related issues. The work encompasses both big data analyses as well as capacity development, while innovating on data partnerships and collaborations with private sector companies and policy makers. The network is supported by a grant from the International Development Research Centre (IDRC), Canada.

As part of the BD4D Network, we at the CIS are studying BD4D innovations, policy, practices, and discourse with a focus on the research methods involved; and offering research and pedagogic support towards other hubs of the Network.

Network website: http://bd4d.net/

Network blog: https://medium.com/bd4dnet

Project outputs: https://cis-india.org/raw/bd4d/

Previous Projects

Big Data and Development - Field Studies

For more details visit http://editors.cis-india.org/raw/data-systems

Big Data for Development Network

sumandro — 2019-05-22T11:04:26Z

For more details visit http://editors.cis-india.org/raw/bd4d

Data Systems - Posts

sumandro — 2019-03-16T04:35:55Z

For more details visit http://editors.cis-india.org/raw/data-systems-posts

Centre for Internet and Society

#MappingDigitalLabour - Panel discussion on platform-work in Mumbai and New Delhi

This project is supported by research assistance from the Azim Premji University.

Download: Poster and Flyer

Session Recording: Video (YouTube)

Agenda

Speakers and Moderator

Data bleeding everywhere: a story of period trackers

Please read the full essay on Deep Dives: Data bleeding everywhere: a story of period trackers

Sadaf Khan: Media Matters for Democracy and Twitter

Yesha Paul

Shruti Trikanad

Radhika Radhakrishnan

Open Data and Land Ownership

State of Open Data: Website and Book (Open Access)

Chapter on Open Data and Land Ownership: Zenodo (PDF)

Key Points

- Global availability of land ownership and land deals data is patchy, but, when available, it has been used by individual citizens, entrepreneurs, civil society, and journalists.

- Over the last decade, a number of responsible data lessons have been learned. These lessons can provide guidance on how to balance transparency and privacy and on how to draw research conclusions from partial data.

- In spite of large donor investments in land registration systems, few resources are currently made available to enable open data related to these projects. There are untapped opportunities as a result.

- Lessons from the land ownership field highlight the political nature of data, and illustrate the importance of politically aware interventions when creating open data standards, infrastructure, and ecosystems.

Can data ever know who we really are?

Please read the full essay on Deep Dives: Can data ever know who we really are?

Zara Rahman: The Engine Room, Website, and Twitter

Manuel Beltrán - IoHO - April 01, 2019

Manuel Beltrán - IoHO

Manuel Beltrán - Institute of Human Obsolescence - Cartographies of Dispossession

Image credit: Manuel Beltrán

Institute of Human Obsolescence - Cartographies of Dispossession

Manuel Beltrán

http://speculative.capital

https://dataworkers.org

Digital Knowledge - Posts

Digital Knowledge

Digital Knowledge: All Posts

Previous Projects

Indian Newspapers' Digital Transition (2016)

Mapping Digital Humanities in India (2014-2016)

Pathways to Higher Education

The Digital Classroom in the Time of Wikipedia (2012)

Data Systems

Data Systems: All Posts

Ongoing Projects

Urban Data Justice (2019)

Life of a Tuple: National Register of Citizens (NRC) and the Reform of Citizen Identification Infrastructure in Assam (2018-2019)

Big Data for Development Network

Previous Projects

Big Data and Development - Field Studies

Big Data for Development Network

Data Systems - Posts