Category: COVID-19 from the margins

[BigDataSur-COVID] Fuera de Alcance: Educación a Distancia en Zonas Rurales Peruanas Durante la Pandemia

Out of Reach: Distance Learning in Peruvian Rural Areas During the Pandemic This blog post aims to analyze the actions carried out by the Peruvian government regarding distance education and contrast them with the uses and practices of technology in Andean rural communities. Likewise, it problematizes digital inclusion and exclusion that is reflected through the digital divide: who is included and who is excluded from the Peruvian public school in the new normal setting.

 

Por Karla Zavala Barreda

La cuarentena y las medidas de distanciamiento social han afectado el desenvolvimiento de las actividades escolares a nivel nacional. En marzo, luego de aplazar el inicio del año escolar por dos semanas, el Ministerio de Educación desplegó el plan de enseñanza a distancia ‘Aprendo en Casa’. La estrategia, a través de señal televisa y radial abierta, busca reemplazar la educación presencial a través de sesiones de aprendizajes adaptadas a dichos medios. La difusión del contenido también se apoya de las radios comunitarias. No obstante, esta estrategia no incluye a los centros poblados, donde hay un nivel muy bajo de conectividad, y donde se encuentran comunidades que están fuera del alcance de la señal de los medios masivos y de la cobertura de internet.

En el Perú, la educación rural tiene un modelo de alternancia donde los estudiantes asisten intermitentemente a clases. Luego del anuncio del inicio de la cuarentena obligatoria, dichos estudiantes regresaron a sus hogares, los cuales en muchos casos no cuentan con medios o conectividad para acceder a los contenidos de Aprendo en Casa. Cabe preguntar entonces, ¿cuál es el estado de los estudiantes en comunidades rurales en el país que ha implementado una de las cuarentenas más estrictas a nivel mundial?

Educación a Distancia en Zonas Rurales

Frente a esta problemática de acceso al contenido escolar, se anunció la adquisición de un millón de tabletas a ser repartidas a los estudiantes y maestros de áreas rurales clasificadas en los quintiles 1 y 2 de pobreza. En este contexto, cabe recordar que el gobierno peruano ha implementado desde hace treinta años programas de compra equipos informáticos en el sector educación, tales como Una Laptop por Niño, proyecto Huascarán, Jornada Escolar Completa, entre otros. Sin embargo, estas adquisiciones no ayudaron a amortiguar la necesidad de educación a distancia que emergió durante esta crisis sanitaria, convirtiéndose así en el gran elefante blanco del que poco se ha discutido.

Asimismo, la solución ofrecida para acortar la brecha de conectividad de las zonas rurales es la inclusión de tabletas con chip y cargadores solares. Pero sin señal satelital de internet en el área donde usarán la tableta, el chip no podrá conectarse a ningún lado. Esta coyuntura es un recordatorio de la materialidad de la infraestructura digital. Depende de cables, de satélites, de proveedores y operadores para que la señal llegue a quienes están fuera de alcance. La brecha digital entre zonas urbanas y rurales es abismal. La conectividad en áreas rurales no alcanza más del 20%, a esto se suma que el servicio ofrecido es de baja calidad, y la velocidad de conexión es lenta.

Al implementar el aislamiento social obligatorio, las zonas rurales fueron expuestas a un grado mayor de vulnerabilidad al no contar con infraestructura y conectividad en sus hogares. Esta situación se agrava en un país donde el gobierno apenas conoce a la realidad de la población. Mientras el Ministerio de Educación señala que el 94% de los estudiantes escolares está accediendo a los contenidos de Aprendo en Casa, la Defensoría del Pueblo –institución nacional que defiende y promueve los derechos de las personas y la comunidad– indica que en provincias el poco acceso a educación durante la pandemia ha incrementado el número de deserción escolar. Por ejemplo, en Cerro de Pasco, más de 7000 estudiantes no acceden a la educación a distancia. Situación similar ocurre en una de las regiones más pobres del país, Huánuco, donde más del 30% de escolares tampoco cuenta con acceso.

 

Prácticas desde la Periferia

A casi dos meses de la clausura del año escolar, las tabletas aún no llegan a los destinatarios. Y aunque llegaran, la distribución de dichos dispositivos no resolverá las dificultades de conectividad y acceso a información. Es en este escenario donde acciones como las del alcalde de Corani, localidad de Puno, al sur de país, llaman la atención, no solo porque contrató la instalación antenas satelitales para brindar conexión a cinco comunidades rurales en extrema pobreza, sino por el razonamiento detrás de esta acción: proveer acceso libre a internet. Mientras los sistemas digitales continúen absorbiendo y embebiendo actividades sociales, la infraestructura de conexión efectivamente determina y restringe cómo los usuarios se comunican y acceden a información. Es por estas razones que el acceso a internet se ha declarado como un derecho humano, ya que no solo ayuda a difundir contenidos educativos sino también a acceder a servicios del estado sin necesidad de desplazamiento geográfico, y conocer los derechos.

Al optar por la transmisión de sesiones de aprendizaje a través de medios de comunicación e internet, el gobierno peruano no garantiza el derecho de acceso a la educación a quienes no cuenten con los medios necesarios para acceder a dicho contenido. Al condicionar dicho acceso, se incrementa la vulnerabilidad de poblaciones rurales en extrema pobreza. En contraste, lo sucedido en Corani no solo beneficia a los estudiantes, sino también a los miembros de la comunidad, que pueden acceder a información respecto a los bonos repartidos durante la pandemia, y también a los estudiantes universitarios o de carreras técnicas, que gracias a este servicio pueden conectarse a sus clases virtuales.

A la vez, se hace frente a una problemática que pasa desapercibida: la compra de paquetes de datos móviles. Durante la cuarentena, miembros de comunidades rurales adquieren semanalmente paquetes de datos para que sus hijos puedan acceder a la educación a distancia. Imágenes de niños buscando señal en la cima de las montañas se han compartido en las redes sociales sin cuestionar quién cubre el costo de esa conexión. En otras palabras, la educación que antes era gratuita se constituye como un costo adicional al estar mediada.

Por otro lado, nuevamente la materialidad de los contenidos digitales necesita ser abordada. Internet no está compuesta de solo bits y señales que fluyen de manera invisible en el aire. El contenido audiovisual demanda el uso muchos datos móviles, y a su vez esta transmisión de datos depende de infraestructura que provea conexión. Si contrastamos la penetración de celulares se puede observar que más de un 85% de hogares rurales cuenta con un dispositivo móvil (INEI, 2020). Sin embargo, solo un 5.9% tiene acceso a internet. Poniendo este dato en el contexto actual y los retos que el distanciamiento social presenta, cabe cuestionar qué tanto se toman en consideración los celulares en la difusión, diseño, y desarrollo de la educación a distancia. Por ejemplo, si el ancho de banda no es óptimo, ¿hay versiones lite (bajo uso de datos, poco uso de imágenes, etc.) de las páginas y apps educativas? ¿Por qué no se toma política de mobile-first como en otros países?

Estos interrogantes abren el diálogo para dejar de privilegiar la adquisición de tecnología de punta y el uso de nuevos medios en estrategias nacionales sin tomar en cuenta el ensamblaje socio-técnico que permite la conexión a Internet. En el Perú hay muchas áreas que siguen fuera de alcance, y no es coincidencia que sean los mismos espacios geográficos donde se encuentran las comunidades rurales. Por otro lado, decisiones como la compra de tabletas sin una propuesta íntegra hace evidente la falta de planes sostenibles en el tiempo para la implementación de iniciativas tecnológicas, que si bien buscan cerrar las brechas digitales, no parecen tomar en cuenta la realidad de las diferentes regiones del país.

 

Karla Zavala Barreda holds an MA in Media Arts Cultures, and is a PhD student at University of Amsterdam in the Department of Media Studies. Her research focuses on software studies, interface criticism, game studies, algorithmic literacy, and critical design. She is interested in the intersection between software, design, and education. She tweets at @karlazavala.

[BigDataSur-COVID] Pandemic Paternalism: A Reflection on Indigenous Data from Aotearoa

By Donna Cormack & Tahu Kukutai

There are estimated to be more than 300 million Indigenous people in the world, spanning every continent, each with diverse histories and socio-political contexts. The shared experiences of imperialism and colonialism have profoundly impacted Indigenous peoples’ health and well-being, producing enduring disparities in most territories. COVID-19 has sharpened structural inequalities, and Indigenous peoples in many countries have been disproportionately impacted by the pandemic, either directly (through infection and fatalities) or indirectly, by way of economic losses, social disruption, and discrimination.1 Indigenous peoples have also experienced pandemic-related data injustices. Focusing on Aotearoa (New Zealand), this essay explores how hegemonic knowledge production practices have resulted in inequitable access to data about COVID-19 by Indigenous Māori communities. This inequity is situated within the wider context of ongoing colonialism, epistemic injustice, and the continuing resistance of Indigenous peoples.

As a member of the so-called “Digital 9” network, Aotearoa is considered one of the world’s most digitally-advanced nations. Over the last decade, the government has eagerly embraced the use of “big data” in decision-making. Stats NZ, the national statistics office, is home to the world-leading Integrated Data Infrastructure (IDI), which links de-identified microdata about people and households from government datasets. Aotearoa is also one of few countries with a system-wide approach to collecting multiple measures of ethnicity and Indigeneity for use in public policy. Such data are used to monitor the government’s obligations to Māori under the country’s founding document, the 1840 Treaty of Waitangi.2 Given these features, one might expect Aotearoa to be an exemplar when it comes to producing high-quality, timely and relevant COVID-19 data about (and for) Indigenous peoples. Unfortunately, this has not been the case.

Early on in the pandemic, it became apparent that ethnicity data was not being routinely collected or reported for all COVID-19 related activities or outcomes,3 despite ethnicity data collection being mandatory in the health sector for more than 20 years.4 Initially, no ethnicity data was reported in the Ministry of Health’s daily updates. While cases are now reported by ethnicity for the six major ethnic groupings, this granularity has not carried over to other key indicators. Six months on, Māori data are still not reported in a way that readily allows for stratified analysis by other variables such as age and region. A lack of complete data reporting makes it challenging for Māori organisations and providers engaged in the pandemic response to make detailed assessments of how COVID-19 is affecting their communities.

Māori carry an elevated risk of harm, while being excluded from decision-making to mitigate that harm—an all-too familiar situation. There is a long-standing colonial predilection for seeing Indigenous peoples as objects to be known—never as experts in their own right. We should not be surprised that inequitable knowledge production practices are being replayed in the context of COVID-19 data. As Carroll, Rodriguez-Lonebear & Martinez argue, settler colonial governments routinely produce Indigenous data that are not fit to meet the priorities of Indigenous communities. Such data tends to be of lower quality than non-Indigenous data, since they are inconsistently measured, difficult to access, and controlled by non-Indigenous people and systems. All of these issues have prevailed in Aotearoa, to some extent, during COVID-19.

It is also clear that the substantial investment in data linkage and integration, ostensibly to inform government decision-making, has failed to produce reliable data for Māori decision-makers. High-quality, disaggregated Māori and iwi (tribal) data was needed in near real-time to guide immediate responses at local, regional, and national levels. For many iwi and Māori communities this data did not materialize, even as they repeatedly demonstrated innovative modes of distributed leadership and a deep capacity to care for each other. Instead, Māori largely relied on their own local intelligence networks and collective knowledge of kin relations, beyond the purview of government agencies and their data systems.

Issues of trust, control, and authority also bubbled to the surface in the pandemic response. To date, there has been little meaningful engagement with principles of Māori Data Sovereignty5 in decision-making through the data systems for the pandemic response, including the COVID-19 tracer app released by the Ministry of Health.6 This lack of engagement persists, despite an increasing number of government agencies purporting to support Maori data sovereignty, including a Stats NZ-led initiative to implement a Māori data governance model across the official government data system. In times of crisis, those in positions of power often default to the status quo. State institutions seem to find it difficult to accept that Māori have technical expertise and deep contextual knowledge that would be beneficial to data systems and practices during the pandemic. As we continue to move through the pandemic, the government needs to shift its focus from centralized data systems that aid top-down policy-making to a more nimble and empowering approach that supports Māori-controlled data systems and locally-defined interventions.

The COVID-19 response in Aotearoa has revealed the persistence of forms of epistemic exclusion.7 Māori knowers and knowledges have been marginalized, and unjust data practices continue to privilege the priorities of the dominant Pākehā (NZ European) population and wilfully ignore Māori data rights.8 It is an important reminder that systems designed for settler colonial goals will work in service of those goals. There remains an urgent need for Indigenous data governance and community-controlled data infrastructure that will serve broader Māori goals of self-determination.

 

Footnotes

1 Stephanie Carroll Rainie, Desi Rodriguez-Lonebear, Akee Randall, Annita Lucchesi and Jennifer Rai Richards, ‘Indigenous data in the COVID-19 pandemic: Straddling erasure, terrorism and sovereignty’, Items (11 June 2020); Joseph Keawe’aimoku Kaholokula, Raynald A. Samoa, Robin E. S. Miyamoto, Neal Palafoxand Sheri-Ann Daniels, ‘COVID-19 special column: COVID-19 hits native Hawaiian and Pacific Islander communities the hardest’, Hawaii Journal of Health & Social Welfare, 79(5) (2020); Tamara Power, Denise Wilson, Odette Best, Teresa Brockie, Lisa Bourque Bearskin, Eugenia Millender and John Lowe, ‘COVID-19 and Indigenous Peoples: An imperative for action’, Journal of Clinical Nursing 29 (15-16) (2020).

2 Papaarangi Reid and Bridget Robson, ‘Understanding health inequities’ in Briget Robson (ed), Hauora: Māori standards of Health IV. A study of the years 2000-2005, Wellington: Te Rōpū Rangahau Hauora a Eru Pomare, 2000, pp. 3-10.

3 Concerns were raised with the government and in the media about the availability and quality of Māori data in the pandemic response (e.g. https://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=12323895, https://www.rnz.co.nz/national/programmes/morningreport/audio/2018742129/coronavirus-maori-health-specialists-want-to-see-data).

4 Donna Cormack and M. McLeod. Improving and maintaining quality in ethnicity data collection: issues for the health and disability sector, Wellington: Te Rōpū Rangahau Hauora a Eru Pomace, 2010.

5 Māori Data Sovereignty advocates for Māori rights in relation to Māori data, including the conceptualisation, management and control of Māori data in line with Māori practices and protocols. It is an expression of broader Indigenous sovereignty. See https://www.temanararaunga.maori.nz/nga-rauemi and Raymond Lovett, Vanessa Lee, Tahu Kukutai, Donna Cormack, Stephanie Carroll Rainie and Jennifer Walker, ‘Good data practices for indigenous data sovereignty and governance’, in Angela Daly, Katie Devitt and Monique Mann (eds) Good Data, Amsterdam: Institute of Network Cultures, 2019, pp. 26–36.

6 See, for example, ‘COVID-19 digital contact tracing risky for Māori technologist’ (https://www.rnz.co.nz/national/programmes/morningreport/audio/2018745465/covid-19-digital-contact-tracing-risky-for-maori-technologist ),‘COVID-19 tracer app: what does it mean for Māori?’, (https://www.teaomaori.news/covid-19-tracer-app-what-does-it-mean-maori?_ga=2.119788872.1799182084.1590045478-1257874397.1554791431).

7 Gaile Pohlaus Jr., ‘Varieties of epistemic injustice’, in Ian James Kidd, José Medina and Gaile Pohlaus Jr. (eds) The Routledge Handbook of Epistemic Injustice, Oxford Routledge, 2017, pp. 13–27.

8 This draws on Nancy Tuana’s concept of ‘willful ignorance’. See Nancy Tuana, ‘The speculum of ignorance: The women’s health movement and epistemologies of ignorance’, Hypatia, 21(4) (2006).

 

About the authors 

Donna Cormack (Kāi Tahu, Kāto Mamoe) is a teacher and researcher with joint positions at Te Kupenga Hauora Māori, University of Auckland and Te Rōpū Rangahau Hauora a Eru Pomare, University of Otago, Aotearoa. Her work focuses on Māori health, racism, and Māori data sovereignty. She is a member of Te Mana Raraunga (Māori Data Sovereignty Network) and Te Rōpū Whakakaupapa Urutā (National Māori Pandemic Group). She is committed to critical, decolonial research practices and approaches that support Māori self-determination.

Tahu Kukutai (Ngāti Tiipa, Ngāti Kinohaku, Te Aupōuri) is Professor of Demography at the National Institute of Demographic and Economic Analysis, Aotearoa New Zealand. Tahu specialises in Māori and indigenous demographic research, and has written extensively on issues of Māori population change, official statistics, and ethnic and racial classification. Tahu is a founding member of the Māori Data Sovereignty Network Te Mana Raraunga and the Global Indigenous Data Alliance. She has co-edited Indigenous data sovereignty: Toward an agenda (ANU Press, 2016) and Indigenous data sovereignty and policy (Routledge, 2020). She was previously a journalist.

[BigDataSur-COVID] Disrupting “business as usual”: COVID-19 and platform labour

By Jelke Bosma, Eva Mos & Niels van Doorn

Things are bad right now and they will probably get worse in the future. Once the global pandemic caused by COVID-19 is finally under control, the afterlife of this public health crisis is likely to have a devastating impact on our national and local economies for years to come. But not everyone will be affected in the same way and to the same extent. We have already witnessed how the pandemic has brought long-standing inequalities with respect to income and wealth distribution into sharp relief. Some social groups have access to the resources (e.g. time, space, capital, influence) necessary to weather this crisis, or even make a profit from it, while many others scramble to protect their lives and livelihoods. In many ways, COVID-19 intensifies and accelerates these inequalities and will ultimately push them to a breaking point, a point that even conservative governments have been trying to steer clear of by introducing economic rescue plans.

Importantly, the ongoing platformization of labour and livelihoods embodies a similar logic of intensification and acceleration. While the term “disruption” has been overused—and poorly describes the economic and social impacts that platforms like Uber, Airbnb, or Deliveroo are having—we nevertheless think it is safe to say that these impacts are significant. Platform companies are reorganizing how people work and make a living, and how citizens and their governments manage and take care of others. Emerging in the wake of the 2008 recession, they have exacerbated the unequal distribution of opportunities and risks along lines of class, gender, race, and nationality—even when they claim to empower working people.

Over the past few weeks it has become clear that things are no longer ‘business as usual’ for these companies, as they are not only facing new challenges but seizing opportunities that have arisen from the current crisis. Meanwhile, we are seeing new local platform-based initiatives springing up, driven by networks of citizens as well as private organizations aiming to assist the most vulnerable members of their communities.

Various news outlets have reported that the popularity of on-demand delivery services has grown massively in cities across the globe, especially in large metropolitan areas now dealing with increasingly severe lockdowns.1 In New York City, for instance, couriers for food delivery platforms like DoorDash and Caviar are facing an ambivalent situation. Whilst workers realize that their services are more needed than ever, at the same time they are worried about their health and safety because these platform companies offer no proper protections or insurances to independent contractors.2 While many workers take pride in their job and half-jokingly praise the empty streets in Manhattan, they also feel they should not have to invest in protective gear. Quite a few couriers warn that social distancing is often impossible when waiting at a restaurant with other delivery workers.

Although most delivery companies have by now arranged their own financial assistance programs for couriers who get infected or are required to self-quarantine, these initiatives generally offer relief up to just 14 days and require them to submit documentation that is difficult to obtainin times of crisis.3 With such high application thresholds, it is unclear how many couriers have gained access to these emergency funds, which appear to be little more than a public relations strategy.

Beyond these limited reactive measures, which force couriers to keep working until they are physically or legally unable to work, companies like Uber, DoorDash, and Deliveroo continue to disavow responsibility for their workforce by fighting reclassification legislation that would force them to provide a more comprehensive safety net. Instead, Uber’s CEO has recently petitioned the US Federal government to step in and provide the protections America’s new first responders now need more than ever.4 In fact, he recently got what he wanted, which may have negative implications in the future.

The abovementioned companies, in tandem with Amazon, are primarily focused on expanding their delivery markets by further rolling out and diversifying their outsourced logistical services. NYC’s ride-hailing industry is taking a big hit due to COVID-19, which is also wreaking havoc on the restaurant and hospitality industry.5 In response, drivers and restaurant workers are turning to delivery platforms to salvage part of their income, while Uber and Amazon are exploring the possibility of delivering test kits in the near future.6 Uber and Lyft are also trying to capitalize on an increased need for the private transportation of vulnerable people and critical goods through their Uber Health and LyftUp initiatives, respectively.7

Meanwhile, DoorDash is partnering with NYC’s government to deliver food to “medically fragile students,” and has also launched a “package of commission relief and marketing support” for new and existing partner restaurants.8 DoorDash is investing heavily in COVID-induced market growth. The company allows new restaurants to sign up for free and pay no commissions for 30 days, and it creates priority access for restaurant workers looking to start as Dashers. Across the Atlantic, the situation in Amsterdam and Berlin looks a bit different. While delivery companies in these cities are also signing up scores of restaurants that have had to close their doors to dining customers, couriers working for Deliveroo, TakeAway, and/or Uber Eats are not yet seeing a similarly high boost in orders. Neither are they getting the tips or bonus incentives one may hope for during this crisis.

In Amsterdam, couriers who have a financial buffer are staying home as much as possible, particularly students for whom the pay-outs are not worth the risk. Still, the streets continue to fill with food delivery workers, many of whom are immigrants with little choice but to keep working regardless of how bad the circumstances get. Other sources of income have mostly been discontinued and, like their peers in NYC, they are only receiving standard emails and notifications from platform companies warning them to keep their distance and fulfil the logistical promise of contact-free delivery. That this promise is a fantasy becomes painfully clear when picking up an order at an otherwise closed McDonald’s restaurant, where more than a handful of waiting couriers converge around the door each time it opens wide enough to push the next bag of fast food through.

Another thing we are not yet seeing in European cities is the kind of crisis-driven service diversification and public-private partnerships that platform companies are currently experimenting with in the US This might soon change, however, as Deliveroo, JustEat, and Uber are allegedly all in conversation with the British Government about providing delivery support to elderly and vulnerable people.9 Due to the conjunction of an increased public need for logistical solutions and a decreased demand for ride-hailing services across Europe, Uber may be looking for similar ways to reallocate its drivers in other countries.

Ride-hailing is not the only segment of the gig economy to be negatively impacted by COVID-19. Due to mandatory social distancing and home quarantine measures, domestic cleaners working through platforms such as Handy and Helpling are losing most of their income. In the Netherlands, for instance, Helpling bookings are down 40% and the cancellation rate is expected to rise to 50-60%.10 Cleaners in Amsterdam—mostly immigrants—are facing difficult times, since most of their clients have asked them to stay away until further notice. One cleaner said she lost about 1,200 euros over the last two weeks and is now fully dependent on her partner’s income. When asked whether she had checked her eligibility for financial assistance—which the Dutch government recently made available to independent contractors hit by the COVID-19 crisis—she admitted having no idea such a rescue program existed, let alone if she would qualify. Her response highlights the vulnerability of migrant gig workers, who often do not master the native language and have trouble accessing information pertinent to their livelihood. Even when access is obtained, navigating the red tape in a foreign bureaucracy can be exceedingly difficult.

In conclusion, the pandemic is impacting the gig economy in two significant ways. First, it accelerates the ascendency of on-demand delivery as the dominant and most rapidly expanding service market, at the expense of ride-hailing and domestic cleaning. Secondly, it intensifies gig platforms’ experimentation with public-private partnerships and forms of service provision that cater to special needs populations. By seeking new ways to support the social reproduction of vulnerable consumer groups during a time of crisis, while continuing to discard the reproductive struggles of their workforce, platform companies are leveraging this public health crisis in a bid to become increasingly infrastructural. That is, COVID-19 generates a state of exception that offers companies a window of opportunity to test-drive their desired scenario of becoming privatized digital utilities that control and monetize critical data flows.11 The question that remains is, to what extent will this state of exception become the rule?

Jelke Bosma is a PhD candidate in the Department of Media Studies, University of Amsterdam. His research is part of the project Platform Labor, funded by the European Research Council, which investigates dynamics of value on Airnb. He has a background in Urban Studies and his research interests include platform urbanism, housing and urban theory. He tweets at @jelkejelke.

Eva Mos is a PhD candidate working in the Platform Labor project at the University of Amsterdam. With a BA and MA in Sociology, Eva traces and studies intersections between welfare state transformation and the platform economy. She does so through ethnographic study of post-welfare platforms operating in Amsterdam and Berlin. She tweets at @EvaMos5.

Niels van Doorn is Assistant Professor of New Media & Digital Culture at the University of Amsterdam. He is also the Principal Investigator of the European Research Council-funded Platform Labor research project (2018-2023). His current work focuses on the platformization of labor and social reproduction in post-welfare societies.

 

Footnotes

1 Tyler Sonnemaker, ‘Instacart Plans to Add 300,000 Additional Workers as Demand Surges for Online Delivery’, Business Insider, 23 March 2020, https://www.businessinsider.com/instacart-to-add-300000-shoppers-as-online-grocery-delivery-surges-2020-3; Sean Captain, ‘What It’s like to Be a Delivery Worker in the COVID-19 Era’, FastCompany, 24 march 2020, https://www.fastcompany.com/90480629/what-its-like-to-be-a-delivery-worker-during-the-covid-19-pandemic; Alina Selyukh, ‘From Grocery Stores To Pizza Delivery, Some Companies Are On A Hiring Spree’, NPR.org, 24 March 2020, https://www.npr.org/2020/03/24/820624379/from-grocery-stores-to-pizza-delivery-some-companies-are-on-a-hiring-spree.

2 Kate Conger, Adam Satariano and Mike Isaac, ‘Pandemic Erodes Gig Economy Work’, The New York Times, 4 April 2020, https://www.nytimes.com/2020/03/18/technology/gig-economy-pandemic.html.

3 Dara Kerr, ‘Gig Workers Say Sick Pay for Coronavirus Is Hard to Come By’, CNET, 26 March 2020, https://www.cnet.com/features/gig-workers-with-covid-19-symptoms-say-its-hard-to-get-sick-leave-from-uber-lyft-instacart/.

4 Edward Ongweso Jr, ‘Uber Asks US Government to Give Its Workers Health Insurance’, Vice, 23 March 2020, https://www.vice.com/en/article/8847qb/uber-asks-us-government-to-give-its-workers-health-insurance.

5 Sean Captain, ‘What It’s like to Be a Delivery Worker in the COVID-19 Era’, FastCompany, 24 march 2020, https://www.fastcompany.com/90480629/what-its-like-to-be-a-delivery-worker-during-the-covid-19-pandemic; Austa Somvichian-Clausen, ‘How NYC’s Restaurant Industry Is Surviving amid Coronavirus Closures’, TheHill, 20 March 2020, https://thehill.com/changing-america/respect/accessibility/488670-how-nycs-restaurant-industry-is-surviving-amid.

6 Sarah Emerson, ‘Amazon and Uber Suggest Delivering Coronavirus Testing Kits. Gig Workers Are Worried’, Medium, 20 March 2020, https://onezero.medium.com/amazon-and-uber-suggest-delivering-coronavirus-testing-kits-gig-workers-are-worried-2c7b550604e1.

7 ‘Uber Considers Med Delivery As Riders Plummet’, PYMNTS.Com, 20 March 2020, https://www.pymnts.com/news/ridesharing/2020/uber-considers-med-delivery-as-ridership-plummets/; ‘Supporting Our Community’, Lyft, 20 March, 2020, https://www.lyft.com/blog/posts/supporting-our-community.

8 @NYCMayor, ‘We’re also partnering with @DoorDash to get food to the homes of medically fragile students. No child will go hungry. Not on our watch.’, Twitter post, 21 March, 1:22 AM, https://twitter.com/NYCMayor/status/1241158218396708865; Tony Xu, ‘Supporting Local Businesses and Communities in a Time of Need,’ DoorDash, 17 March 2020, https://blog.doordash.com/supporting-local-businesses-and-communities-in-a-time-of-need-41c0742fbc03.

9 Rowland Manthorpe, ‘Coronavirus: Takeaway Firms JustEat and Deliveroo in Talks with Government on Providing Care Packages to Elderly,’ Sky News, 16 March 2020, https://news.sky.com/story/coronavirus-takeaway-firms-justeat-and-deliveroo-in-talks-with-government-on-providing-care-packages-to-elderly-11958494.

10 Hella Hueck, ‘De Werkster Is Ineens Niet Meer Nodig’, The Financial Times, 23 February 2020, https://fd.nl/ondernemen/1338913/de-werkster-is-ineens-niet-meer-nodig?fbclid=IwAR2oIf3-H5mzafmgS4hgx2WJU77JLdlQhLnoG3AlJTWIbjSUe9qQCpdAcZs.

11 Julie Yujie Chen and Jack Linchuan Qiu, ‘Digital Utility: Datafication, Regulation, Labor, and DiDi’s Platformization of Urban Transport in China,’ Chinese Journal of Communication 12, 3 (July 3, 2019).

[BigDataSur-COVID] When Health Code becomes Health Gradient: Safety or Social Control?

“Please show your Health Code.” Almost all public places in China have posted such requests at the entrances nowadays. Health Code, a three color-based application, is rolled out to control people’s movements and curb the coronavirus’s spread. A local government then proposed a Gradient Health Code to rank citizens based on smoking, sleeping, and medical records.

English translation by Giulia Polettini – Read in Chinese

by Yiran Zhao

“Please show your health code”, a few months after the spread of Covid-19, this request is attached on the entrance of almost all public places in China. A health code that is available through Alipay [a payment platform spreadly used in China] , through programs like Wechat [the app number one in China, literaly used to do anything, from blogging, instant messaging to ordering food, booking a flight, paying etc…] and local apps or other platforms and that it can be obtained only after that the government service platform has acquired your name surname, id number and phone number. A green code, means that you are free to go. A yellow or red code, means different levels of risk to contracting the new Coronavirus.

Authority, means ownership

After the validation of your identity, your personal health code situation can be shown in a few seconds. The logic at its base follows factors as your movements history, the permanence time in a risky area, as well as the relationships with potential carriers, in order to evaluate people level of hazard, though the specific algorithm hasn’t been published yet.

While we think that the classification operated by the staff of social medias is based on the information filled in by individuals, interests and precise personal behaviour that are constantly fed, the health code emerges instead as another new type of control system: for which you do not need any autonomy to fill out or engage. The birth of the health code can’t be found in the moment you authorize it, but before that. Also, the environment it uses does not follow your abitual actions but it is instead a civil obligation with a mandatory nature: “Without a green code you cannot enter”.

Focault called discipline the politic of power, by establishing the relationship between this discipline and the rules he created the value of power. To this extent, the debate on the question of individual privacy and safety, takes the right to health safety and it transfer its target to the individual person, driving it on a panoramic operational model.

Apart from hospitals and public transportations, also some big companies or even small private groups and forums, started to use the green health code to develop their own social duty, along with the safeguard of the security of their event attendees. The green code symbolize a decentralized and panoramic power model.

Data can be wrong too

When the access to the network can be viewed as a kind of human right, it is very difficult to accurately identify marginalized people’s position drifting outside the data. Those who live in impoverished areas, or the elderly, who don’t know how to own and generate a health code, will be rejected by public transportation and in other building. Also the display and tracking of the regions mainly rely on phone numbers, but the name identity registration in phone numbers took place earlier than the Internet era, so sometimes the problem is that the person tracked by the phone number do not correspond to the original registered person. As for the rating of risk level and division of the regions, it is even more difficult to handle: when Beijing is divided into orange areas, then locating people living in adjacent areas is closely related to the level of accuracy of the position based on the cellular stations sites, wifi coverage, GPS and Bluetooth.

What is more costly than wrong data is that there is no manual to guide you how to change your status. After being classified as orange, all you can do is to spend the quarantine time staying at home. The inability to self-prove the wrong data itself overlaps with the authority status of these data.

In this picture the individual health code value states a 88/100 grade corresponding to a green health code, calculated on a value resulting from the number of steps taken, the number of cigarettes smoked, the amount of alcohol assumed and the hours of sleep reached in one day by its owner.

 

In this picture the company/group health code value states a 78/100 grade corresponding to a light green health code, calculated on a value resulting from the actions of the company employees such as the number of steps taken, the number of hours slept, the rate of yearly health check-ups taken and the rate of chronicle diseases, contracted by the employees, that were contained.

Health lies beyond 3 colors

On May 22nd, the Health Commission of Hangzhou municipality, where Alibaba is located, envisaged, through electronic medical records, health checkups and other related data, to set up a personal health gradient index, ranked from 0 to 100, and released a collective appraise of healthy groups within corridors, communities, and enterprises. Although this was only an official plan, it still has been enough for people to be amazed by the health code.
After that, to manage the public health the privacy right is crossed and [after], being labelled with the “three colors” to ease its management, it is also possible that the trend may go on with “progress”, “competitivity”, and “performance” gradients. Will the health privacy data of “chromatic gradient” be spread by a wider range commercial capitalism? What kind of “inequality” will the employee health data cause?
We have to admit the possibility that after the new crown pneumonia, people have begun to adapt to this exceptional state and habitually transfer personal privacy interactions for big data to take over control. It may be possible that the existence of “people” itself will also lie in the spectrum of the chromatic gradient, labelled with the pattern of (R, G, B) [international color model used by most devices].

 

About the author

Yiran Zhao lived in China for almost twenty years and then moved to Taiwan to get a Bachelor’s degree. Now she is in the Netherlands as a Research Master student in Media Studies at the University of Amsterdam.

[BigDataSur-COVID] 走向渐变的健康码:这是安全,还是控制?

“Please show your Health Code.” Almost all public places in China have posted such requests at the entrances nowadays. Health Code, a three color-based application, is rolled out to control people’s movements and curb the coronavirus’s spread. A local government then proposed a Gradient Health Code to rank citizens based on smoking, sleeping, and medical records.

Read in English

by Yiran Zhao

“请出示你的健康码”,在新冠肺炎大流行的几个月后,中国几乎所有的公共场所的入口都张贴着这样的要求。健康码,一个通过支付宝、微信小程序、各地应用程序等接口,在授权国家政务服务平台获取姓名、身份证号以及手机号码后就可以被分配到的码。绿色代码,意味着自由出行。黄色或红色代码,意味着不同程度的感染新冠病毒的风险。

授权,即可拥有

经过实名认证之后,个人的健康状态码就会在数秒内显示。其基础逻辑是根据旅行历史,在危险区域停留的时间以及与潜在承运人的关系等因素评估人们的传染风险,具体算法仍未公布

当我们认为社交媒体的人员归类是依靠在个人所填写的资料、兴趣、不断喂养出来的精准个人行为养成时,健康码呈现出了另一种新的监视状态:你无需任何自主填写和参与。健康码的诞生并不在你授权的那刻,而是在那之前。它的使用环境也并不随着你的行为习惯,而是一种强制性的公民义务:“没有绿码,无法进入。”

福柯把权力技术称之为纪律,透过设定这种规范和纪律而创造出权力价值。个人隐私和安全的问题辩论至此,当医疗的安全权力对象转移到个人,就驱动了一种全景式的运作模式。除了医院、公共交通外,一些大型的公司,甚至小型的私人派对和论坛,也会启用绿色健康码来展现自己的社会责任,以及对与会人的安全保障。绿码标志了一种下放型、全景式的权力模式。

数据,也会出错

当网络接入可以被视作一种人权,游离在数据之外的边缘人是非常难被准确定位的。

生活在贫困地区,或者是老人,并不知道要如何拥有和产生健康码,也就会被公共交通和其他建筑拒之门外。而地域的显示和追踪主要依靠电话号码,电话号码的实名注册却要比网络时代更早,因此有时候产生的问题是电话号码所追踪到的人和本人并不一致。至于对地区的危险程度评级和划分就使得在操作中更为困难:当北京被划分成橙色区域,那么住在接壤地区的人要如何定位,这在和蜂窝站点位置、wifi覆盖范围、GPS和蓝牙的定位精准度都息息相关

比出错代价更大的是,并没有使用手册指导你如何更改你的状态。被划为橙色之后,能做的只有在家中等隔离时间过去。无法自证数据的错误,就将数据的权力地位更往上叠加。

根据一日走路步数、饮酒量、吸烟情况、睡眠等得出的个人健康评分以及在本地市民中的排名。

 

根据企业全体员工走路步数、睡眠情况、体检率、慢性病空置率等得出的群体健康评分以及在本地企业中的排名。

健康,不止三种颜色

5月22日,阿里巴巴的所在地杭州市卫生健康委设想通过集成电子病历、健康体检等相关数据,建立从0到100分个人健康渐变色指数排行榜,并且推出对楼道、社区、企业等健康群体的集体评价。尽管这只是官方的设想,仍然足以让人对健康码的走向感到吃惊。

为了公共健康管理而让渡出来的隐私权,在方便管理而被标记的“三种颜色”之后,可能将走向“渐变的”、“竞争式的”、“展演的”渐变色。“渐变色”的健康隐私数据会否被更大范围的资本主义商业化的投放?员工健康指数将造成如何的“不平等”?

我们不得不承认这样的一种可能性,那就是在新冠肺炎之后,人们开始适应这种例外状态,习惯性地让渡个人隐私交由大数据统一接管。”人“的存在也或许将躺在渐变色的光谱里,以(R,G,B)的形式被标注。

 

About the author

Yiran Zhao lived in China for almost twenty years and then moved to Taiwan to get a Bachelor’s degree. Now she is in the Netherlands as a Research Master student in Media Studies at the University of Amsterdam.

[BigDataSur-COVID] COVID Data on the Fringes: the Scottish story

by Angela Daly

 

COVID hit at a febrile time more generally for the United Kingdom in the context of its exit from the European Union and ongoing issues over the devolved nations, particularly Northern Ireland with its land border with the Republic, and Scotland, both of which had voted to remain in the EU during the 2016 referendum. Scotland had in 2014 its own referendum on independence from the UK, which was won, albeit fairly narrowly, by the ‘No’ side. While a pro-Brexit right-wing Conservative government rules in London, the devolved administration in Edinburgh is led by the centre-left Scottish National Party (SNP) government and first minister Nicola Sturgeon.

However, when the pandemic first hit the UK in the early months of 2020 there was no discernible difference in approach between the Scottish Government and the UK Government. In March 2020 both Scotland the wider UK imposed lockdowns later than in other European countries and in mid-March both abandoned manual contact tracing around the same time that big tech firms such as Palantir were invited to meetings with the UK government. Later that month, NHSX (the English public health service unit tasked with setting policy and best practice for digital technologies and data in health) started developing a contact tracing app amid cries of digital triumphalism and technodeterminism from the Johnson administration in London that we could digitise our way out of the pandemic.

Health is a devolved power in the UK, so the Scottish Government has full responsibility for health policy in Scotland. In May we began to see divergence between Scotland the wider UK on pathways out of lockdown (Scotland has generally taken a more cautious approach to this issue than the UK government) and also on data, with the publication of the Test, Trace, Isolate, Support policy. It signalled the relaunch of Scotland’s own contact tracing scheme, foregrounding manual contact tracing which may then be supplemented by a ‘web-based’ digital ‘tool’, pointedly not an app.

But data in the context of COVID is not just contact tracing and apps, even though they have been the focus for significant debate and advocacy. The data which government releases and restrains about COVID infections and prevalence is also key to informing political debates and personal choices, and the situation in Scotland presents a complex picture of the tensions between health, the economy and politics both at the local level and as a snapshot of more global tensions in the pandemic response.

Contact tracing and the app

Scotland’s (belated) approach to contact tracing is one of the most prominent examples of its divergence with the UK central government on COVID data policy. From May Scotland set up its own contact tracing system, building capacity in its public healthcare service (NHS), in contrast to the outsourcing of this service to private companies that has occurred in England. The Scottish Government also expressed its reservations with the NHSX app and the lack of consultation with devolved administrations. However it still came as a surprise in August when the Scottish Government announced that it was launching a contact tracing app and would be adopting the Republic of Ireland’s model and software, developed by Irish company Nearform. The Northern Irish administration has also adopted this model which makes sense given political and geographical reasons, principally the land border with the Republic. The Scottish Government’s decision to adopt the app is more overtly political, inasmuch as its land border is with England rather than Ireland. However the RoI app is reasonably privacy-protecting through its adoption of the Google-Apple app protocol and decentralised design, purpose limited and already has a track record of functioning reasonably well, the same which cannot be said of the original NHSX app. Even the NHSX app’s current incarnation, released after the Scottish app, still seems to be suffering from malfunctions.

The Scottish Government may have adopted the RoI app for politically pragmatic reasons, but it leaves the nation in a position where it has followed the lead of another nation-state (Republic of Ireland) rather than its own central government in London, leading to a ‘Gaelic Fringe’ approach to apps and contact tracing across the (contested) borders of nation-states in the islands of Britain and Ireland. The outcome of this approach may be de facto the establishment of Scotland’s digital sovereignty in a similar way to the movement in Catalonia, another separatist region in Spain. This is all the more significant given Scottish Parliament elections in 2021, which the SNP are tipped to win by a landslide, and calls for another independence referendum, with polls consistently showing a pro-independence vote in the lead.

Yet the need to adhere to the Google-Apple protocol in order to create functioning apps does limit political entities’ digital sovereignty, both of Scotland and full nation-states which have had to use this protocol for their own apps. The Google-Apple protocol has promoted a measure of privacy protection lacking, for instance, from the UK Government’s initial NHSX app, but the need to adopt this protocol for a successful app demonstrates and reinforces the power of big tech firms.

Photo credits: Stephen McLeod Blythe (@stephenemm)

Government transparency

The Scottish Government has undoubtedly been more transparent about its COVID app than its counterparts in London have been about the NHSX app and the involvement of big tech firms in providing digital infrastructure for the pandemic, as a series of openDemocracy investigations have demonstrated.

However the Scottish Government does not have a flawless record on its own transparency during this period. In Scotland freedom of information (FoI) laws were ‘relaxed’ at the outbreak of the pandemic in April, allowing government agencies a threefold extension to their deadlines for responding to freedom of information requests. These measures were strongly criticised at the time. Even the UK government did not relax FoI laws to the same extent. The Index on Free Expression criticised the Scottish Government, comparing it to Bolsonaro’s Brazil for its restrictions of freedom of information rights during the pandemic.

Access to public data and information extends beyond FoI. Who is infected with COVID and who has died from COVID and where have been key questions in order to understand whether certain groups have been more impacted than others. In England people from Black and Minority Ethnic (BAME) backgrounds have been more susceptible to infection and death form COVID for a number of reasons including socio-economic circumstances, structural racism and pre-existing health inequalities. Scotland has a significant minority population of South Asian origin, and there was anecdotal evidence in spring 2020 that this community was experiencing a disproportionate amount of COVID deaths. Scottish NGO the Coalition for Racial Equality and Rights (CRER) raised concerns about the lack of data on this issue and the poor quality of the data that did exist. Finally, in July the National Record of Scotland published a study on ethnicity and COVID in Scotland which found that South Asian people were 1.9 times more likely to die of COVID. This is in line with outcomes in other parts of the UK, but the Scottish data was made available later than elsewhere. CRER is still calling for more and better data to be generated and released on COVID and ethnicity in Scotland.

Data and marketization

For contact tracing the Scottish Government has followed a less neoliberal and privatised approach to England, where these functions have been outsourced to private companies (ironically including some located in Scotland, one of which itself experienced a COVID outbreak). However marketization and privatisation of other public functions have had an obfuscating impact on what data is available to the public in Scotland.

Like elsewhere in the UK, and in other western countries, care homes for the elderly and disabled have been severely impacted by COVID, with many residents dying of the disease. One notorious example was the private Home Farm care home on the Isle of Skye, where ten residents died of the virus, run by HC-One, one of the UK’s largest care home providers. Care home regulatory bodies in both England and Scotland have refused to make public the numbers of deaths in specific care homes, with part of the justification being that this would negatively affect providers’ commercial interests.

While so far not as deadly, marketised universities in Scotland like the rest of the UK brought students back to campus for the start of the new academic year (in some cases with all teaching still online) and have experienced COVID outbreaks in shared student accommodation from September 2020. There has been patchy information about COVID cases among campus communities, with some institutions releasing this data and others not, leading to the UniCOVID site set up by two University of Sussex academics to track developments. It seems that universities are becoming more forthcoming about tracking their own COVID outbreaks and releasing data publicly, however there is no systematic way this is being done and not every institution is readily providing this data. Marketisation of this public service has led to students returning prematurely to campuses and may have contributed to institutions’ reticence in compiling and publicising data about COVID cases.

There are aspects of the Scottish digital story which demonstrate a clearly different path from that of the UK central government, notably the approach to contact tracing which remains within the public health service rather than being outsourced to private providers, yet also which represents a radical alignment with Dublin on the app. Along with the Belfast administration’s embrace of the Nearform software, we see a Gaelic Fringe approach to contact tracing apps emerging, one which is also in line with European standards more generally and thus represents a further cleavage with the pro-Brexit London government. While the Scottish Government may have adopted this approach for pragmatic reasons, in outcome it may be seen as a further step towards Scotland’s digital sovereignty in some senses, but also shows the limits of this sovereignty inasmuch as the Google-Apple protocol is respected.

The worst excesses of the UK government’s privatised and digitised COVID response are not replicated in Scotland, but equally things have not been perfect either. Transparency, who is counted in data, and what data is available to the public have been influenced negatively by logics of privatisation and marketization in public functions, particularly in care homes. The needs of ethnic minorities to be counted and visible in data when COVID has disproportionately affected them, were not adequately addressed and taken account of by the Scottish Government.

Scotland shows the potential for the margins to forge different paths on data than the cores, but also the limits of doing so in a world of big tech, neoliberal logics and inequalities. Groups such as the CRER demanding more and better data on COVID and ethnicity in Scotland and the wider UK initiative UniCOVID providing data on university outbreaks including in Scotland shows the kinds of bottom-up data activism emerging in the COVID context. With COVID, data is power, data is political and this is as true in Scotland as it is elsewhere.

 

About the author

Dr Angela Daly is Senior Lecturer in Strathclyde Law School and Co-Director of the Strathclyde Centre for Internet Law & Policy in Glasgow, Scotland. As a ‘critical friend’ she has advised the Scottish Government on data in its COVID-19 response as a member of the COVID-19 Data Taskforce and a board member of Research Data Scotland. She co-edited the open access book Good Data in 2019.

 

 

[BigDataSur-COVID] Contact Tracing Apps: Friend or Foe?

by Alexandra Elliott

A man decides to go grocery shopping during the COVID 19 pandemic. Despite his best efforts to be cautious he comes within a 1.5m distance with another shopper while reaching for a basket, another when selecting his milk, two more when squeezing through the crowded cereal aisle and the cashier as he pays for his groceries. He then returns home to hugs from his wife and three kids. A few days later the man tests positive for the Coronavirus and all those he came into contact with may potentially also be sick. Each of these people has their own web of contacts, of which every person has another web and so on. And this is only the contacts made within one hour.

Contact tracing is essential in detecting cases of COVID 19, early treatment and the reduction of further contamination, ultimately overcoming the pandemic. However it is clear that doing so is no mean feat. With the total cases worldwide exceeding 7 million it seems reasonable to adopt the assistance of technology in contact tracing efforts. So why is there so much contention over the implementation of contact tracing apps? Consider this a summary guide.

In an attempt to assess whether contact-tracing technology should be met with approval I will position it within the academic notions of Good Data. Explaining how contract tracing works, through a case study of Australia’s COVIDSafe app, I hope to reach an understanding of why this technique is an essential tool in minimising the curve of the Coronavirus, “a strategy that goes hand-in-hand with economic recovery and reducing the isolation recommendations that are currently in place”. We will then explore many of the concerns and controversies preventing unanimous enthusiasm over the process, presenting both the arguments and their rebuttals to deliver a comprehensive portrait of the matter.

With the rise in suspicions over Big Tech and their manipulative and invasive data practices a counteractive field of academia developed focusing on ethical uses of data. There are discrepancies over the terminology and definitions found within the discourse – responsible data, good data, data justice – and many scholars have called for a unified understanding to therefore accelerate the ideas and implications. I have chosen to umbrella these concepts under the label Good Data.

One reference of the central ideas of the field can be found within the work of Taylor and Purtova (2019). They divide data justice into data responsibility and data sustainability; the first covering the impact of data on the user (for example matters of privacy and bias) and the latter referring to utilising data for the benefit of society – data for humanitarian, not capitalist, purpose. We will continue this piece by exploring how contact tracing apps fit into this model as an example of Good Data.

Big Data as Public Good

To illustrate how contact tracing apps are a sustainable data practice they can be understood as an implementation of Big Data as public good.

The information big data provides can be utilised for the benefit of society. Within relevant fields of academia this action is referred to as ‘data as public good’. However the reality of data access for humanitarian purposes is difficult to achieve due to the clashing responsibilities and ambitions of the various actors involved. Taylor (2016) and Ritchie and Welpton (2011) have both attempted to navigate these relationships and assess the likelihood of the exposure of personal datasets to benefit humanity.

Many papers dissect the data collection and analysis ecosystem of mobile operators and other Big Tech companies. If, upon release, data held by corporations can “promote social good” such as alerting emergency responses then it should be made available but this may not be in the best interests of the data’s private owners. The responsibility of exploiting privacy lays with the data owner who becomes hesitant to release information for fear it soil their reputation. We therefore encounter a block in sharing data for humanitarian endeavours.

COVIDSafe provides an alternative, more harmonious, model of data as public good by eliminating private ownership. The data is collected and analysed by the Australian government for the benefit of the Australian people. The government accepts the responsibility of individuals’ privacy. Unlike other cases involving numerous differing parties who collect the data and who analyse and use the data, the government’s goals align with the goals of the research – protecting the Australian population. There is no longer a need for repurposing. Through COVIDSafe an entirely new dataset is being collected, designed for the purpose of contact tracing and therefore facilitating the process of data for the public good.

Contact Tracing

Contact tracing involves identifying those who have been in contact with an infectious person so that they can isolate themselves and halt the spread. The process ultimately seeks to control the spread of a disease or virus and can be automated by smartphone tracking apps.

This tracking can be conducted over either Bluetooth or GPS. Bluetooth options offer more privacy, as they do not record the location at which contact occurred. Alternatively, others argue for GPS and its ability to identify hot spots. Up until recently Apple’s iOS software blocked Bluetooth from running in the background of apps. This would have rendered contact tracing apps ineffective as the app needed to always be open to detect contacts. They have now removed that function thus supporting the development and use of such applications.

Once in operation a phone with a contact tracing app will send out a code through Bluetooth to any other phone, also with the app, which comes within a detectable distance. An example developed alongside the Australian government is COVIDSafe.

COVIDSafe

Australia’s government and health authorities have adopted the COVIDSafe app as a tool to contain and hopefully overcome Coronavirus in the country. It’s endorsement has been strong with widespread advertisements encouraging Australians to download the app and the Prime Minister Scott Morrison appealing to the public with assurances that the more people that use the app the more quickly the pubs can reopen.

COVIDSafe works by recognising other devices in its proximity with the app installed, “it notes the date, time, distance and duration of the contact and the other user’s reference code”. The reference code is anonymous and refreshed every two hours, the data collected is encrypted and the information is deleted after 21 days (a time period which covers both incubation and testing).

From both the COVIDSafe website and statements by the government it is clear that those involved are aware of users apprehension of infringement of privacy and wish to resolve such concerns. The Guardian recently conducted a survey, which found 57% of respondents to be anxious of the security protecting their personal information.

In an attempt to quell concerns both a Privacy Policy and Privacy Impact Assessment Report are available to read and users may opt out at anytime and request for the immediate deletion of their records. Furthermore, it is a criminal offence to use the data collection for any purpose other than contact tracing (including law or isolation enforcement) and by any other actors than those delegated, punishable by a five-year jail sentence.

Regardless of these protections, COVIDSafe is not an open source software prompting critics to argue that it “is not subject to audit or oversight”. The reason privacy protection is so critical is that the data collected constructs a “comprehensible social contacts map of the nation”. A dataset of Australians’ behavioural patterns could become a valuable resource for a range of purposes from marketing opportunities to more malicious regimes.

Since its appearance in the app store COVIDSafe has experienced a number of setbacks including hoax texts distributed to users with a message reading “the COVIDSafe app has detected you are now +20km from your nominated home address” and the revelation that the users’ phone make and model was communicated unencrypted. There was also backlash in the media of the choice to store the data in the American owned Amazon Web Services (AWS) over Australian providers fit for the purpose. As well as the lost opportunity to support local businesses (particularly necessary during the pandemic), concerns were raised over information being accessed by American entities due to legislation approving government access to data held by any US owned companies. However there is some ambiguity surrounding the matter as AWS are already used for a range of Australian federal operations and the transferring of COVIDSafe data to any country is prohibited through the Biosecurity Act.

Research has confirmed that certain user numbers must be attainted before contact tracing apps can be labelled as effective. The University of Oxford conducted an experiment on a simulated city to reveal that 80 per cent of smartphone users in the U.K., or 56 per cent of the population must be using the app it is to be successful in curbing the spread of the Coronavirus. Unfortunately this cannot be enforced, it is important to permit downloading the app as voluntary to maintain civil liberties.

User numbers may be inhibited by scepticism throughout society towards both the government and Big Tech’s use of surveillance to monitor our daily routines and consequent reluctance to participate. Furthermore, there is a high correlation between those without possession of a smartphone and those at high risk of contracting COVID 19 – particularly the older generation and those from a low-income bracket. Contact tracing apps therefore fail to detect and protect many, potentially severe, cases.

Another issue is the limitations of the technology infrastructure. The Bluetooth range extends beyond 1.5 metres and also permeates through walls creating false positives. Numbers may also be inaccurately inflated through “self-diagnosing incorrectly or worse, trolls spamming the system”. False positives need to be avoided not only for the efficiency of the operation but also as to not loose the faith of its users. 

In conclusion

If assessing contact tracing apps based off their ethical purpose COVIDSafe, and its intentions of eliminating a pandemic, would be considered a golden example of Good Data. However following Taylor and Purtova (2019) it is not only sustainability but also responsibility that must be met to attain a holistic Good Data practice. Concerns over confidentiality and inaccuracies prevent contact tracing apps from easily being categorised as Good.

However, what if the equal weighting of responsibility and sustainability is not fixed? Extenuating circumstances often mean we must prioritise and compromise. Contact tracing apps are an example of foregoing responsibility towards the individual for sustainability of the whole.

Additionally, incorporation of decentralised storage, allowing people to choose from a pool of suppliers to align with their values, providing an exit strategy so data is not stored post virus and inviting collaboration to incite innovation could construct a more trustworthy model of contact tracing. Trust has become particularly potent, do we trust our government and health services to utilise this data for the benefit of the public? It is important to maintain perspective and remember what is at stake, “it sounds like a dystopian surveillance nightmare that could also save millions of lives and rescue the global economy”. In times of crisis we may comply with conditions otherwise worth challenging. Sacrifices and personal discomfort may be necessary and worthwhile if they lead to overcoming and healing from COVID 19.

 

About the Author

Alexandra grew up in Sydney, Australia before moving to England to complete her Bachelors degree at Warwick University. She is currently undertaking a Research Masters in Media Studies at the University of Amsterdam. It is through this course that she became involved with the Good Data tutorial and DATACTIVE project.

 

[BigDataSur-COVID] Silent silencing: A survivor’s reflection on domestic violence during COVID-19

On 17 September 2020, the policy blog Ideas for India published a study reporting on rates of domestic violence and cybercrime during India’s lockdown, which started on 23 March. The study shows that domestic violence complaints have increased by 131 percent in May 2020 in districts with the strictest lockdown rules (“red zone”). It also reports on a survey that asks, separately to men and women, whether “a husband is justified in hitting or beating his wife in a number of circumstances, including neglect of the house or children, improper cooking, disrespect for in-laws, and refusal to have sex”. Results show that districts where a greater proportion of husbands report that hitting or beating his wife is justified, experienced greater increases in domestic violence complaints in April and May 2020 in COVID-19 “red zone” districts relative to “green zone” districts. Such results sit within scholarship on the effects of lockdown on domestic violence and their measurability, calling for inclusive data visualisation as this blog has emphasised earlier this year.

As activists on domestic violence awareness, we leverage data to pass clear, effective messages to our audiences. Domestic violence statistics, as well as femicide data – where femicide defines as “”the intentional killing of females (women or girls) because they are females” and all too often contextualises within family or relationship situations, offer a powerful synopsis of the horror of living with abuse, and of the tragic culmination of situations where abuse is not recognised or addressed. Narrating abuse is hard ot only for the narrator but also for the listener. By way of example, in multiple occasions the author of this post has had persons asking her to “stop” or to “refrain from talking about abuse”(in some particular social or professional situations from members of her own family, acquaintances and colleagues. And still, for those – survivors and not – involved in the mission of helping people recognise the signs of abuse, statistics provide a numeric anchor to start sensitisation, to prevent people from turning the bling eye to the subject matter. So in that respect, statistics serve as a tool for sensitisation and awareness-raising.

But for us as survivors, the limits of statistics emerge in all their strength.

The twisted meaning of domestic violence statistics

Statistics are merely about reported abuse. And we know, in some national/institutional environments more than others, that reporting of domestic violence (physical, psychological, economic, or of any form) is discouraged more or less actively depending on context. In societies across the world abuse is stigmatised, silenced, blamed on the victim (as someone notified in a seminar recently, “you will never put your name and face on such a claim”). The author of this post, a survivor from a southern European country, has been actively advised not to report her abuser, for fears of retaliation, triggering memories, the renowned inaction of the national judiciary. We report, if we really want to. But we are ignored, laughed at, scorned and discouraged when we do so. As a result, many of us do not report domestic abuse.

Can you see now why we are so confident in arguing that domestic violence statistics, as powerful as they are, are likely to seriously underrepresent the phenomenon?

Silent silencing

But attention, nobody will openly silence a domestic violence survivor. Nobody will ever openly tell you “it is not acceptable to talk about survival”. Silencing, as we experience it in our everyday existence, is in itself… silent. Nobody says “do not talk about it”. They will say, “not here. This is not the place, not the right occasion”. Do not talk about it to colleagues, it will undermine your position of power. Do not talk about it in social occasions, it is inappropriate. Do not talk about it to the extended family, you will make them worried without a reason. In a nutshell, overall, survive if you can, but do not talk about it, do not tell us.

We survive, those of us who do. But the byproduct of survival, us, is not socially accepted. As mentioned above, one month after reporting my abuser, a close family member told me to “lower my voice” while talking about it in a social occasion. We are allowed to survive, if we manage to. But then, silently, we are forbidden to talk.

I spend substantial times collecting the most accurate statistics and reports to talk about survival. Statistics go beyond grabbing the listener’s attention, they offer a photograph of the issue that numerically is the most accurate we have. But when it is life, we are silently silenced, encouraged to stay put, to lower our voice. Because it is ok to survive, yes. But it is not professional, or socially acceptable, to live as a survivor. It is not acceptable to talk about it either.

Read statistics, use them. Build on them to bring the ongoing, pandemic-induced sharp rise in domestic violence to attention, to break the silence that still dominates in most parts of the world. But when you read statistics, just think that many of us live in silence, those of us who live, with the responsibility of being the voice of those whose abusers have silenced forever. Just think that we cannot put our names and faces to these voices, for the safety of our own loved ones and our very selves. And we cannot talk, because it is not “socially acceptable”. So please do use statistics. But when you do, remember our silently, socially acceptably silenced, voices behind them.

 

About the author

I am an academic professional and a recent survivor of intimate partner abuse. I am the anonymous pen behind SurvivorChrisalis, a blog about my life as survivor and the importance of activism to spread awareness of the early signs of abuse.

[BigDataSur-COVID] A Brazilian cautionary tale on pandemic negationism: Open data is an essential safeguard for evidence-based policy-making

Header photo by Alan Santos/PR

by Nicolo Zingales

When it comes to COVID 19 deaths, Brazil is the second hardest hit country in the entire world (reaching almost 130.000 at the time of writing). This may be surprising to those who remember that, when the new Corona virus made its way to Brazil, after having caused thousands of deaths in other countries such as China and Italy, there was a widely shared belief that the warm temperatures in the country would prevent its spread. Perhaps this bolstered the confidence of the country´s President Jair Bolsonaro in minimizing the importance of the virus, criticizing the “oversized” concern for its destructive power and attaching economic motives (mainly linked to oil prices) behind that exaggeration. What was more puzzling however is that the President maintained a negationist approach despite the steady increase in the numbers of victims, and in direct clash with the instructions given by health authorities, state governors and even his own Health Minister. On March 24th, Bolsonaro gave a national address on television, where he made clear the key tenets of his strategy in fighting the pandemic: first, a preoccupation for the economic consequences, demonstrated by his admonition that “life goes on, and jobs must be maintained”. Second, a forceful rejection of the social isolation imposed by state and municipal authorities combined with an exhortation to “vertical” isolation, meaning an isolation of those segments of the population with higher risk of death or of developing serious conditions with Covid-19. In support of that strategy, he suggested that for most people the virus would be no more than a “gripezinha” (small flu), and that Brazilians have somehow acquired an immunity to disease by “diving into sewers” (a reference to the fact that in certain areas of Brazil people have to cope with sewage water pouring onto the streets). Third and last, an investment into demonstrating the efficacy against the virus of hydroxychloroquine, a medicine produced in Brazil and widely used to fight malaria, lúpus (SLE) and arthritis, not without some significant side-effects.

While one could oppose this strategy on ideological grounds, a different criticism concerns the way in which it was reached: marking a stark contrast with the position advocated by scientific authorities, and devoid of any evidential justification. The first telling sign of that was the dismissal on 16 April of Health Minister Mandetta, due to a divergence of views over the necessity of social isolation measures. This was followed not even a month later by the resignation of his replacement, Nelson Teich, appointed by Bolsonaro in the hope to find a better ally on the economy-focused strategy. Although Teich did not provide any reasons for the resignation, it is worth noting that it came the day after he learned in a press conference that the President had issued a decree (without consulting the Ministry) classifying gyms, beauty salons and barbers as “essential services” that cannot be interrupted by state and municipal authorities. In later declarations, Teich explained that the government´s request to the Federal Council of Medicine to allow the prescription of chloroquine for mild cases of Covid-19 had a weight in its resignation, stressing that the country´s health care budget is too small to be used for things that don´t work. The epilogue of this saga was the official government guidelines for wider use of chloroquine in mild cases, published when the Health Ministry came under the control (on an interim, but still lasting basis) of Eduardo Pazuello, an active-duty army general. The decision to authorize the use of hydroxychloroquine was reached unilaterally, despite the existence of scientific studies on the medicine finding “no beneficial effect against the disease”, and without revealing any results from the studies announced by the President in his television address in March. Especially considering the delicate nature of this decision (which is liable to impact lives of thousands of people), it was logical to expect that the evidential basis for any decision would be produced and made available for public oversight.

Another tension with the scientific community arose on June 5th, when the Health Ministry removed from its portal key statistics about the Coronavirus, explaining that it was doubting the accuracy of the numbers due to the prevalence of “sub-notifications”: it was alleged that numbers were manipulated by States and municipalities in order to receive emergency aid, and that as a result, new reports would be limited the numbers of deaths occurred (rather than notified) on each day. However, despite the stated purpose, the changes involved a significant curtailment of published data: in the new version made available as of June 7th, one could only see daily contagions, deaths and recoveries without reference to the accumulation of such number in the past, or the breakdown of those per state and municipality, or the records of the Severe Acute Respiratory Syndrome, (another useful indicator). In this version, numbers could no longer be downloaded, which created obstacles to further analysis. All this motivated the Sustainability Network, the Communist Party of Brazil and the Socialism and Freedom Party to launch a constitutionality challenge against the new policy, resulting in a judicial order to the health ministry to revert to the original configuration. Supreme Court Judge Alexandre de Moraes reminded in his decision that the Brazilian Constitution enshrined the principle of publicity as one of the main vectors for the public administration, giving it absolute priority in the administration´s management and granting full access to information to the entire society. The same principle had been invoked by the judge in another ruling against the government in March, setting aside a decree that created an exception in the law of access to information to the 20 day-response deadline. due to the pandemic. According to the ruling, the decree “ha[d] not established exceptional and concrete situations that would [legitimately] impede access to information”, rather simply turning the principle of publicity and transparency into an exception. In both cases, the Judge spoke clearly: the pandemic cannot be used as an excuse to lower transparency standards, which are indispensable (arguably even more so during the pandemic, given the wide range of public measures adopted) to hold public power accountable.

A third and last example of negationism and rupture with evidence-based policy was the case of O Brasil não pode parar”, a mediatic campaign encouraging autonomous workers to continue working despite the imposition of social isolation measures. The video of the campaign was published on the official Instagram page of the Special Secretariat of Communication of the Presidency and shared by several persons close to the President (including his son, Rio de Janeiro´s senator Flavio Bolsonaro), but its dissemination was immediately enjoined by a court in Rio de Janeiro. The injunction followed a complaint lodged by the Federal Public Minister to prevent the spread from official government accounts of this campaign, as well as other information against social isolation that is not strictly grounded on scientific evidence. Interestingly, when these facts were brought to light by the Press, the Secretariat denied the existence of the campaign, despite its wide circulation and the public availability of screenshots of its publication by the Secretariat just three days prior. While this nation-wide campaign was withdrawn, however, Bolsonaro remains able to use his own channel (TV Bolsonaro) to broadcast content of choice to his audience through an app. According to an article published by the Intercept on 15 June, TV Bolsonaro is the main channel in the app “Mano”, produced by IP.TV, who is the contractor of the state governments of São Paulo, Paraná, Amazonas e Pará for the provision of long-distance education to primary and secondary schools during the pandemic. The Intercept documented that the livestreaming app requires users to give broad permissions to the collection of personal data (for instance, access to the photo album), and suggests that this disproportionate data collection may have been the economic value justifying IP.TV´s provision of such services free of charge to the state governments. Unfortunately, no further information is available on these contracts between state governments and IP.TV, and it is not clear what safeguards were included to protect the personal data of millions of students and professors. This lack of clarity over data processing has been a reality for the entire duration of the pandemic in Brazil: the country is still awaiting the entry into force of a comprehensive data protection law and the formation of a data protection authority, both of which have been repeatedly postponed, but are now bound to happen in the next few days. While public-private partnerships could in principle help the country to deliver to citizens the services and information they need, the inadequacy of the applicable data protection framework (at least at the time these contracts were signed) is such that these partnerships must be looked at with suspicion. It is not a coincidence that it was the revelation of the terms of the partnership between telecom operators and the Agency for Statistics for the measurement of unemployment that led to a successful constitutional challenge, on grounds of the insufficiency of the applicable safeguards This Supreme Court ruling was a good reminder of the promises of transparency and open data, highlighted by Judge de Moraes in the two above-mentioned cases, which simultaneously allow direct citizen engagement with evidence and to keep public power in check. And perhaps with even more important consequences in the context of the pandemic, as more transparency and evidence-based policies could arguably have prevented the normalization of agglomerations we are seeing today across the country.

About the author

Nicolo Zingales is Professor of Information Law and Regulation, and coordinator of the E-commerce research group at FGV law school in Rio de Janeiro. He is also a founding member of MyData Global, an organization promoting empowerment by improving the effectiveness of the right to informational self-determination; and a coordinator of its Brazilian Hub, which recently co-hosted a workshop on Data Governance At A Time of Pandemics: Charting A Way Forward For Latin America.

[BigDataSur-COVID] Tejidos comunitarios desde los márgenes: Las cajas de resistencia como herramienta autónoma y autoorganizada en tiempos de necesidad

Por Marta Espuny Contreras*

Las respuestas colectivas como redes de apoyo mutuo y solidaridad y, en concreto, las cajas de resistencia (despensas solidarias, fondos de emergencia, etc.) se han multiplicado a raíz de la pandemia del COVID-19. Se trata de un tipo de activismo digital, unas prácticas de resistencia centradas en el apoyo colectivo y la solidaridad comunal que se han venido desarrollando especialmente en redes sociales.

En este texto se plantea una reflexión crítica sobre los conflictos y contradicciones que derivan del uso de redes centralizadas -como Instagram o Facebook- para la creación y coordinación de redes autónomas, basándonos en las siguientes preguntas: ¿qué posibilidades autónomas de resistencia se activan dentro de estas plataformas?, ¿qué consiguen estos movimientos al hacer uso de las redes sociales? Hablaremos de la fragmentación que sufre el activismo en redes sociales, y cómo las redes estudiadas superan esa centralización e individualización mediante la localidad, es decir, anteponiendo el sentimiento de pertenencia y responsabilidad mutua que diseña un acuerpamiento y una lucha desde la identidad. Esta localidad, adelantamos, necesita ser reconfigurada pues ya no se lee con relación a un espacio compartido sino a una identidad común.

Imagen 1. Ilustración “We The People” realizada por Seth Tobocman. Fuente: sethtobocman.com

Vulnerabilidad social, exclusión y redes comunitarias: Instagram como objeto político

La actual pandemia ha puesto en evidencia las numerosas deficiencias de nuestras no tan bien consolidadas democracias europeas. Las redes de apoyo mutuo surgían como única alternativa válida de supervivencia para los sectores de la sociedad denominados por Sousa Santos como no-existentes; personas y poblaciones que, por su procedencia, falta de regulación laboral, identidad de género, profesión -o todo lo anterior-, permanecen invisibles en los márgenes y no cuentan con el reconocimiento necesario para beneficiarse de las medidas gubernamentales. Una precariedad que aumenta con la imposibilidad de trabajar durante el periodo de confinamiento (o, en algunos casos como los temporeros de Lleida, incluso trabajando).

Es en este contexto el que surge la necesidad para estos colectivos de repensar sus mecanismos de supervivencia, de crear redes de solidaridad, cuidados colectivos y apoyo mutuo, frente a los paradigmas individualistas occidentales. Estas acciones se presentan como la única alternativa simbólica y material de los colectivos de no-existentes. La construcción autónoma de estos espacios-red es una forma disidente de establecer relaciones de apoyo en las que sus integrantes pasan de ser víctimas -de un sistema, unas jerarquías, una pandemia, de la imposibilidad de adquirir lo mínimo para vivir- a agentes activos, apropiándose del centro de acción y decisión. Cuando estas redes de colaboración se expanden hacia las plataformas digitales, encontramos muchos perfiles que se caracterizan por su gran conciencia identitaria en relación con las exclusiones y procesos de discriminación nombrados con anterioridad.

Imagen 2. Captura de información sobre caja de resistencia “Sexy Box”. Fuente: Instagram @donthitalanegrx.

Desde la Teoría de Medios (STS) las plataformas se entienden como espacios de mediación, que responden a intereses empresariales y económicos -capitalización de datos, captación de la atención-, por lo que no son elementos neutros, sino que están al servicio del sistema. Es en esta mediación y la estandarización -influencia del diseño de la plataforma- donde reside la clave a la hora de entender las posibilidades de inter(acción) que ofrecen estas plataformas a los diferentes actores que la transitan.

Los discursos políticos y activistas se expanden hacia lo digital, donde se fragmentan y estandarizan por la mediación de estas plataformas, quedando reducidos a imágenes, slogans o pequeños textos a pie de foto. En un contexto dominado por la economía de la atención, se publican consignas agresivas y provocadoras, con una aparentemente alta carga política, buscando generar un mayor impacto y destacar entre la sobresaturación de información.

Sin embargo, estos mensajes no pueden presentarse de manera articulada, puesto que las redes sociales no ofrecen la posibilidad de extender los discursos, no dan lugar a que se dibuje un hilo conductor de las reivindicaciones.

Transformando sus narrativas al formato Instagram, las luchas políticas quedan condicionadas por la búsqueda del impacto y la atención. De esta lógica surge la mediada visibilidad, que produce que ciertos perfiles cuenten con mayor visibilidad, mientras que otros perfiles queden aislados en sus comunidades de afines. Esta invisibilización de determinados perfiles hace de Instagram una herramienta de censura y no de amplificación. Las redes y plataformas de comunicación tecnológicas suponen, en este sentido, una amenaza para la emancipación de movimientos autónomos. Entonces, retomando nuestra pregunta inicial, cabe cuestionarse ¿qué posibilidades autónomas de resistencia se activan dentro de estas plataformas?

Para indagar en las posibilidades autónomas que se movilizan dentro de estas plataformas, hemos analizado tres hashtags: #CajaResistencia, #TejidoComunitario y #SolidaridadComunitaria, desde los cuales se ha realizado un muestreo en cadena hasta identificar un total de 40 perfiles (principio de saturación discursiva). Perfiles gestionados por personas o colectivos migrantes o que practiquen un trabajo no regulado (venta ambulante, trabajo sexual, recogida de fruta, etc.), establecidos en el Estado Español, y que publicaron llamados a participar en cajas de resistencia durante el confinamiento por COVID-19 en España.

Imagen 3. Clusterización por colores de las cajas de resistencia analizadas

Activismo y localidad

Los efectos de la estructura, los límites e intereses de las plataformas recaen sobre sus interacciones. Es desde este punto que estos colectivos tienen la necesidad de utilizar las affordances de estos medios para realizar apropiaciones concretas que les permitan la acción. Con relación a las cajas de resistencia hemos percibido cómo estos colectivos, consciente o inconscientemente, ponen el foco en la localidad y en los cuidados. Es decir, superan la fragmentación, centralización e individualización de las redes gracias a que anteponen la localidad, a que se priorizan los lazos comunitarios que hacen de nexo entre diferentes colectividades.

Desde esta perspectiva, resulta necesaria una reconfiguración del término localidad, que pasa de lo físico a lo simbólico, de lo material a lo identitario. Ya no implica necesariamente que se comparta un mismo espacio, sino más bien que se lea a la otra persona como parte de tu grupo. Entendiendo el grupo como las personas tienen un mismo origen, que combaten dentro de las mismas luchas (como antirracismo, disidencia de género, anticolonialismo, transfeminismo, etc.), o que comparten objetivos o prioridades comunes, líneas o espacios de debate, proyectos, etc.

Al publicar (e interesarse por) mensajes y proclamas sobre la misma lucha, perfiles que podrían no llegarse a conectar nunca, debido a las limitaciones espaciotemporales, empiezan a interrelacionarse dentro de los espacios digitales. En la siguiente imagen vemos un ejemplo de cómo la conciencia identitaria resulta una base, un nexo de localidad que, en el caso de la ayuda mutua, tienen claras referencias a las comunidades indígenas que tanta experiencia tienen en este tipo de redes. Reclamos como “tejido comunitario desde los márgenes” o “abrazamos la solidaridad comunitaria para la vida digna” representan esa búsqueda de solidaridad, de acuerpamiento entre iguales. Se subraya la solidaridad como respuesta de contingencia para hacer frente al capitalismo.

Imagen 4. Ejemplo de cajas de resistencia organizadas por colectivos migrantes. Fuente: Instagram @warmikusisista.

Por otro lado, es fundamental la capacidad de las redes sociales para escalar esa localidad, para trascender las barreras locales y nacionales y construir redes de solidaridad globales. Esto se da gracias a la atemporalidad presente en las redes sociales, entendida como el fenómeno que facilita la comunicación simultánea desde diferentes zonas geográficas (lo que Castells denominó timeless time), que hace de las redes un espacio compartido más allá de las limitaciones y barreras de la comunicación presencial. Partiendo de lo local (punto de partida necesario para la construcción de redes disidentes), estos espacios permiten la creación de redes translocales y transnacionales que son, en definitiva, tecnologías preservación colectiva de la vida.

Subrayar el carácter revolucionario de la generación de redes de apoyo mutuo. La mera construcción y subsistencia de estas cajas de resistencia en redes sociales supone una revolución en sí misma, puesto que demuestra que es posible la existencia desde, por y para los márgenes. En esta época lo vemos como una medida urgente, de contingencia frente a la falta de recursos. Sin embargo, la autogestión de tejidos comunitarios podría extrapolarse como solución frente a la centralización capitalista. Con respecto a proyectos de emancipación y autonomía, tenemos mucho que aprender de los paradigmas y estructuras creadas desde las diásporas, de sus tecnologías ancestrales de supervivencia. Se trata de un trabajo de descolonización para sustituir los paradigmas individualistas por proyectos locales y autónomos que busquen una emancipación colectiva, que rompan con la relación de codependencia generada a través de los años con los estados y el capital.

 

* Marta Espuny es una persona en deconstrucción, cuyos intereses se centran en el análisis social y político de/en espacios digitales -digital humanist/researcher-. Trabaja desde una mirada crítica en la intersección entre ciencia y tecnología, platform politics y cambio social. Twitter: @martaespuny Linkedin: MARTA ESPUNY