







From data as digital exhaust to data as digital trails to collective wisdom.
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

Rethinking how technology uses our personal data
This essay explores visually how keeping data and AI on‑device could empower not only users, but also companies.


Permissioned Data Diary 4: The Big Picture - Daniel's Leaflets
A special edition of the data diary that sketches out the rough shape of where we're heading.
The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

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.

Should We Treat Data as Labor? Moving Beyond “Free”
Should We Treat Data as Labor? Moving beyond "Free" by Imanol Arrieta-Ibarra, Leonard Goff, Diego Jiménez-Hernández, Jaron Lanier and E. Glen Weyl. Published in volume 108, pages 38-42 of AEA Papers and Proceedings, May 2018, Abstract: In the digital economy, user data is typically treated as capi...
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...

Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.Today, data science is a form of power. I

Digital Socialism?
What opportunities does the new feedback infrastructure of data capitalism offer for non-market forms of social coordination? Hayek and the Calculation Debate revisited in the age of big data.

Data Leverage: A Framework for Empowering the Public in its...
Many powerful computing technologies rely on implicit and explicit data contributions from the public. This dependency suggests a potential source of leverage for the public in its relationship...

Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Everything is miscellaneous : the power of the new digital disorder
Includes bibliographical references (p. [235]-257) and index; Prologue : information in space -- The new order of order -- Alphabetization and its discontents -- The geography of knowledge -- Lumps and splits -- The laws of the jungle -- Smart leaves -- Social knowing -- What nothing says -- Messiness as a virtue -- The work of knowledge -- Coda : misc; Philosopher Weinberger shows how the digital revolution is radically changing the way we make sense of our lives. Human beings constantly collect, label, and organize data--but today, the shift from the physical to the digital is mixing, burning, and ripping our lives apart. In the past, everything had its one place--the physical world demanded it--but now everything has its places: multiple categories, multiple shelves. Everything is suddenly miscellaneous. Weinberger charts the new principles of digital order that are remaking business, education, politics, science, and culture. He examines how Rand McNally decides what information not to include in a physical map (and why Google Earth is winning that battle), how Staples stores emulate online shopping to increase sales, why your children's teachers will stop having them memorize facts, and how the shift to digital music stands as the model for the future.--From publisher description; From A to Z, Everything Is Miscellaneous will completely reshape the way you think - and what you know - about the world. Includes information on alphabetical order, Amaxon.com, animals, Aristotle, authority, Bettmann Archive, blogs (weblogs), books, broadcasting, British Broadcasting Corporation (BBC), business, card catalog, categories and categorization, clusters, companies, Colon Classification, conversation, Melvil Dewey, Dewey Decimal Classification system, Encyclopaedia Britannica, encyclopedia, essentialism, experts, faceted classification system, first order of order, Flickr.com, Google, Great Books of the Western World, ancient Greeks, health and medical information, identifiers, index, inventory tracking, knowledge, labels, leaf and leaves, libraries, Library of Congress, links, Carolus Linnaeus, lumping and splitting, maps and mapping, marketing, meaning, metadata, multiple listing services (MLS), names of people, neutrality or neutral point of view, New York Public Library, Online Computer Library Center (OCLC), order and organization, people, physical space, everything having place, Plato, race, S.R. Ranganathan, Eleanor Rosch, Joshua Schacter, science, second order of order, simplicity, social constructivism, social knowledge, social networks, sorting, species, standardization, tags, taxonomies, third order of roder, topical categorization, tree, Uniform Product Code (UPC), users, Jimmy Wales, web, Wikipedia, etc

The Limits of Data
Policymakers want to make decisions based on clear data, but important factors are lost when we rely solely on data. A philosopher writes:

Resilient Data Futures — Discourse Graph
A living, content-addressed, contributable form of the SciOS Resilient Data Futures whitepaper.

tfw @aaronstevenwhite.io brings an analysis as sharp as a knife to your half-baked Saturday-morning thoughts: aaronstevenwhite.leaflet.pub/3miwsz2hdv22i 🤯 If we're going to own our data, let's actually own our data. Which is to say: No, really, y'all, we're doing this. 💖🧠
Machine-readable attitudes - Computational Semantics++
aaronstevenwhite.leaflet.pub