Data Feminism
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...
Feminist Data Manifest-No
1. We refuse to operate under the assumption that risk and harm associated with data practices can be bounded to mean the same thing for everyone, everywhere, at every time. We commit to acknowledging how historical and systemic patterns of violence and exploitation produce differential vulnerabilities for communities.
Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.
SocialTIC
SocialTIC es una organización sin fines de lucro dedicada a la investigación, formación, acompañamiento y promoción de la tecnología digital e información para fines sociales. Investigamos, entrenamos, acompañamos proyectos y catalizamos comunidades multidisciplinarias de actores de cambio para que utilicen estratégicamente la tecnología digital e información para generar un cambio social.
MyData
The human-centric approach to data is aimed at a fair, sustainable, and prosperous digital society. In such a society, people get value from their data and set the agenda on how it is used. And for organisations, the ethical use of data is always the most attractive option.
Data Refusal from Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as Design
Amidst calls for public accountability over large data-driven systems, feminist and indigenous scholars have developed refusal as a practice that challenges the authority of data collectors. However, because data affect so many aspects of daily life, it can be hard to see seemingly different refusal strategies as part of the same repertoire. Furthermore, conversations about refusal often happen from the standpoint of designers and policymakers rather than the people and communities most affected by data collection. In this article, we introduce a framework for data refusal from below —writing from the standpoint of people who refuse, rather than the institutions that seek their compliance. Because refusers work to reshape socio-technical systems, we argue that refusal is an act of design and that design-based frameworks and methods can contribute to refusal. We characterize refusal strategies across four constituent facets common to all refusal, whatever strategies are used: autonomy , or how refusal accounts for individual and collective interests; time , or whether refusal reacts to past harm or proactively prevents future harm; power , or the extent to which refusal makes change possible; and cost , or whether or not refusal can reduce or redistribute penalties experienced by refusers. We illustrate each facet by drawing on cases of people and collectives that have refused data systems. Together, the four facets of our framework are designed to help scholars and activists describe, evaluate, and imagine new forms of refusal.
TransparencIA — Inteligencia artificial para la democracia
Plataforma ciudadana de transparencia y análisis del poder público en México, potenciada por inteligencia artificial.
Sutty
Sutty crea sitios seguros, veloces y visibles para organizaciones, colectivas y activistas
Digital Labor Platforms as Infrastructure of Extractivism
This chapter examines how digital platforms, as infrastructures of extractivism in contemporary artificial intelligence, enable corporations to appropriate data and labour while concentrating value in core regions such as Silicon Valley. It proposes platform extractivism as a framework linking commodification, epistemic dominance, and reproduction through territory. Drawing on digital labour studies, Latin American critical thought, and mixed-methods research with Venezuelan and Colombian data workers, the chapter discusses how AI depends on precarious platform labour to produce, clean, annotate, and maintain data. It further shows how annotation systems normalize culturally specific categories, especially US norms, as universal knowledge, reproducing colonial hierarchies. Finally, it highlights how data work is sustained by unpaid reproductive labour, community networks, and material conditions that make workers available for platform labour. Platform extractivism thus reveals AI as a labour-intensive and territorially embedded political-economic system under capitalism that perpetuates legacies of coloniality.
Brigada Digital - Início
Somos uma organização com o objetivo de remover o controle proprietário nas tecnologias da informação de trabalhadores, militantes e organizações conscientes do conflito de classes, implementando software livre, proporcionando melhores condições de ação na luta pela superação da exploração social. Nossa luta é livrar a classe trabalhadora dos controles implantados pelas grandes empresas de tecnologia.
Lo que hoy parece una caída puede convertirse en el giro de tu historia. #desarrollopersonal
Civic House · Innovación Cívica y Tecnología con propósito
Somos una organización sin fines de lucro enfocada en tecnología cívica e impacto social, para transformar Latinoamérica en una región más justa más transparente y más inclusiva.
Movement Data Science: Practices for Working in Solidarity with Social Justice Efforts
Although many data scientists are eager to promote social justice, their efforts often fall short, and in some cases even exacerbate existing injustices. This gap between intentions and impacts follows from issues in how data scientists conceptualize their role in social justice efforts: they typically act as technicians, aiming to develop technical tools that will produce social justice. This default role generally results in depoliticized techno-fixes that fail to produce substantive changes. In this paper, we contribute “movement data science” as a framework to guide data scientists in taking on more productive and equitable roles in social justice efforts. Our framework is inspired by movement lawyering, a practice used by lawyers to situate themselves in grassroots social movements. Movement data science suggests that data scientists should ground their efforts to advance justice in sustained and solidaristic relationships with social movements. We contribute a process with four essential practices to help data scientists build these relationships and identify roles to play within specific social justice efforts. Movement data science does not provide a simple blueprint for data scientists to follow, but it can help them support social justice movements in substantive ways that go beyond attempting to solve injustices with technical tools.
Danielle Robinson, PhD
Advancing the power of data to improve the social and economic lives of all people.
Invisible Women: Exposing Data Bias in a World Designed for Men
Invisible Women: Exposing Data Bias in a World Designed for Men is a 2019 book by British feminist author Caroline Criado Perez. The book describes the adverse effects on women caused by gender bias in big data collection.
Vox, fascismo y revolución | Columna
Lo que caracteriza a algunos políticos de ultraderecha no es la melancolía por el pasado, sino su voracidad por el porvenir
