







An inquiry into the rich history of radical experiments to reorganize information.
Living in Data: A Citizen's Guide to a Better Information Future (Paperback)
Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century

Philosophy Experiments — Interactive Thought Experiments
Explore 27 interactive philosophy experiments that challenge your moral intuitions, test your logical reasoning, and probe the boundaries of belief.

The problem of knowledge in the Anthropocene
In the twentieth century, debates about economic planning were largely shaped by arguments concerning knowledge and the acquisition of information. As the century drew to a close, the dispute was a...

E.W. Dijkstra Archive: On the cruelty of really teaching computing science (EWD 1036)
The second part of this talk pursues some of the scientific and educational consequences of the assumption that computers represent a radical novelty. In order to give this assumption clear contents, we have to be much more precise as to what we mean in this context by the adjective "radical". We shall do so in the first part of this talk, in which we shall furthermore supply evidence in support of our assumption.
Emancipatory Information Retrieval
Our world today is facing a confluence of several mutually reinforcing crises each of which intersects with concerns of social justice and emancipation. This paper is a provocation for the role of computer-mediated information access in our emancipatory struggles. We define emancipatory information retrieval as the study and development of information access methods that challenge various forms of human oppression, and situates its activities within broader collective emancipatory praxis. The term "emancipatory" here signifies the moral concerns of universal humanization of all peoples and the elimination of oppression to create the conditions under which we can collectively flourish. To develop an emancipatory research agenda for information retrieval (IR), in this paper we speculate about the practices that the community can adopt, enumerate some of the projects that the field should undertake, and discuss provocations to spark new ideas and directions for research. We challenge the field of IR research to embrace humanistic values and commit to universal emancipation and social justice. We also invite scholars from fields such as human-computer interaction, information sciences, media studies, design, science and technology studies, social and political sciences, philosophy, law, environmental sciences, public health, educational sciences, as well as legal and policy experts, civil rights advocates, social justice activists and movement organizers, and artists to join us in realizing this transformation. In this process, we must both imagine post-oppressive worlds, and reimagine the role of IR in that world and in the journey that leads us there.

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
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...

Radical expectations: how the New Left changed economics
In the 1970s radical economists campaigned to reform their discipline and their universities. They became journalists and activists, moving beyond academia, to forge new models of public engagement and collaborative knowledge in economic life. Radical Expectations tells the story of how these economists set out to make economics more democratic. It traces their campaign to bring protest movements to the campuses, triggering the emergence of an alternative understanding of expertise directed at validating and empowering the perspectives and voices of women, Black Americans, labor activists, and the urban poor. It shows how a radical identity formed and how radicals helped reform disciplinary institutions. Furthermore, it argues that the radical economics' legacy was the development of a language and models of expert-lay collaboration that empowers direct action in economic affairs. The book is about the community of radical economists who championed the promise of change and what came of it

Tools for Thought as Cultural Practices, not Computational Objects
On seeing tools for thought through a historical and anthropological lens

Orion Reed
My research investigates the intersection of computing, human-system interfaces, and emancipatory politics. I am interested in the potential of computing as a medium for thought, as a tool for collective action, and as a means of emancipation.

Emancipatory Information Retrieval (Invited Talk at UCC)
Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Genetic Information: A Metaphor In Search of a Theory
John Maynard Smith has defended against philosophical criticism the view that developmental biology is the study of the expression of information encoded in the genes by natural selection. However, like other naturalistic concepts of information, this “teleosemantic” concept is equally applicable to many non-genetic factors in development. Maynard Smith also fails to show that developmental biology is concerned with teleosemantic information. Some other ways to support Maynard Smith's conclusion are considered. It is argued that on any definition of information the view that development is the expression of genetic information is misleading. Some reasons for the popularity of that view are suggested.
The History of Information - Chris Haughton
disinformation, chris haughton, information, noam chomsky

Ever thought we acquire generalizable knowledge by discarding details and compressing our experiences? In a new BBS paper, @sabinasloman.bsky.social and I argue otherwise, proposing a novel way of studying human learning inspired by double descent in ML. Disagree? Propose a commentary by May 15 :)