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This article sets out our perspective on how to begin the journey of decolonising computational fi elds, such as data and cognitive sciences. We see this struggle as requiring two basic steps: a) realisation that the present-day system has inherited, and still enacts, hostile, conservative, and oppressive behaviours and principles towards women of colour; and b) rejection of the idea that centring individual people is a solution to system-level problems. The longer we ignore these two steps, the more "our" academic system maintains its toxic structure, excludes, and harms Black women and other minoritised groups. This also keeps the door open to discredited pseudoscience, like eugenics and physiognomy. We propose that grappling with our fi elds' histories and heritage holds the key to avoiding mistakes of the past. In contrast to, for example, initiatives such as "diversity boards", which can be harmful because they superfi cially appear reformatory but nonetheless center whiteness and maintain the status quo. Building on the work of many women of colour, we hope to advance the dialogue required to build both a grass-roots and a top-down re-imagining of computational sciences — including but not limited to psychology, neuroscience, cognitive science, computer science, data science, statistics, machine learning, and artifi cial intelligence. We aspire to progress away fromthese fi elds' stagnant, sexist, and racist shared past into an ecosystem that welcomes and nurturesdemographically diverse researchers and ideas that critically challenge the status quo.

The idea of "data justice" is of recent academic vintage. It has arisen over the past decade in Anglo-European research institutions as an attempt to bring together a critique of the power dynamics that underlie accelerating trends of datafication with a normative commitment to the principles of social justice—a commitment to the achievement of a society that is equitable, fair, and capable of confronting the root causes of injustice.However, despite the seeming novelty of such a data justice pedigree, this joining up of the critique of the power imbalances that have shaped the digital and "big data" revolutions with a commitment to social equity and constructive societal transformation has a deeper historical, and more geographically diverse, provenance. As the stories of the data justice initiatives, activism, and advocacy contained in this volume well evidence, practices of data justice across the globe have, in fact, largely preceded the elaboration and crystallisation of the idea of data justice in contemporary academic discourse. We have organised the stories contained in this repository into two groups. The first group, 'Challenges to Data Justice: Stories of Data Discrimination and Inequity", poses the question: What are the sorts of problems and challenges to which data justice practitioners are responding? This section is intended to orient the reader to the range of empirical problems faced by data justice researchers and practitioners the world over. We have provided examples of data practices that have been criticised as posing risks of moral injury and that have been identified as leading to inequitable or discriminatory outcomes. Case studies include a national ID card that serves as a government payment system in Venezuela, a courier service/digital technology company in Colombia, and a digital registry of 'rights, tenancy, and crops' in India. The second group, 'Transformational Stories of Data Justice: Initiatives, Activism, and Advocacy', poses the questions: What do responses to the range of ...

This resource is divided into two primary sections. The first is an annotated bibliography of works related to our integrated literature review on data justice, and the second is a table of organisations conducting data justice or data justice adjacent work. The annotated bibliography contains works relevant to each theme of the integrated literature review which is an accompanying document to this resource. Within each theme and sub-theme key works as well as summaries are provided to direct the reader to additional readings about the topics. This annotated bibliography is not an exhaustive resource, but rather meant to serve as a starting point for learning more about these topics. The table of organisations contains information about organisations conducting data justice or adjacent data justice work across the globe. To ensure the inclusion of a diverse set of organisations from across the globe and across relevant stakeholder groups, the team adopted a three-pronged approach to the identification of organisations. First, recommendations were taken from our existing advisory board members whose expertise on data justice within their regions of operation allowed them to identify organisations which might have been missed. Second, existing networks were examined to identify small organisations working at the intersection of datafication and social justice. This included the Association of Progressive Communications whose aim is 'empowering and supporting people working for peace, human rights, development and protection of the environment, through the strategic use of information and technologies and Privacy International who aim 'to protect democracy, defend people's dignity, and demand accountability from institutions who breach public trust'. Third, through active research and cascading search, additional organisations were identified based on prior work on datafication and social justice, previous experience of stakeholder engagement, and strong networks among relevant stakeholder groups. The table serves ...