Discriminating Data

Discriminating Data

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  • Author: Wendy Hui Kyong Chun
  • Publisher: MIT Press
  • ISBN: 0262046229
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 341

How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.


Pattern Discrimination

Pattern Discrimination

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  • Author: Clemens Apprich
  • Publisher: U of Minnesota Press
  • ISBN: 1452959277
  • Category : Social Science
  • Languages : en
  • Pages : 155

How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection. Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?


Discriminating Risk

Discriminating Risk

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  • Author: Guy Stuart
  • Publisher: Cornell University Press
  • ISBN: 9780801440663
  • Category : Business & Economics
  • Languages : en
  • Pages : 284

Mortgage lenders in the US, Stuart contends, are embedded in and shape a social context that can best be understood in terms of rules, networks and the production of space. This history of lenders' risk criteria reveals that they were synthesized from rules of thumb and untested theories.


Women of Discriminating Taste

Women of Discriminating Taste

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  • Author: Margaret L. Freeman
  • Publisher: University of Georgia Press
  • ISBN: 0820358142
  • Category : History
  • Languages : en
  • Pages : 269

Women of Discriminating Taste examines the role of historically white sororities in the shaping of white womanhood in the twentieth century. As national women’s organizations, sororities have long held power on college campuses and in American life. Yet the groups also have always been conservative in nature and inherently discriminatory, selecting new members on the basis of social class, religion, race, or physical attractiveness. In the early twentieth century, sororities filled a niche on campuses as they purported to prepare college women for “ladyhood.” Sorority training led members to comport themselves as hyperfeminine, heterosocially inclined, traditionally minded women following a model largely premised on the mythical image of the southern lady. Although many sororities were founded at non-southern schools and also maintained membership strongholds in many non-southern states, the groups adhered to a decidedly southern aesthetic—a modernized version of Lost Cause ideology—in their social training to deploy a conservative agenda. Margaret L. Freeman researched sorority archives, sorority-related materials in student organizations, as well as dean of women’s, student affairs, and president’s office records collections for historical data that show how white southerners repeatedly called upon the image of the southern lady to support southern racial hierarchies. Her research also demonstrates how this image could be easily exported for similar uses in other areas of the United States that shared white southerners’ concerns over changing social demographics and racial discord. By revealing national sororities as significant players in the grassroots conservative movement of the twentieth century, Freeman illuminates the history of contemporary sororities’ difficult campus relationships and their continuing legacy of discriminatory behavior and conservative rhetoric.


Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science

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  • Author: Pieter Kubben
  • Publisher: Springer
  • ISBN: 3319997130
  • Category : Medical
  • Languages : en
  • Pages : 218

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.


Dear Data

Dear Data

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  • Author: Giorgia Lupi
  • Publisher: Chronicle Books
  • ISBN: 1616895462
  • Category : Design
  • Languages : en
  • Pages : 304

Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.


Programmed Inequality

Programmed Inequality

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  • Author: Mar Hicks
  • Publisher: MIT Press
  • ISBN: 0262535181
  • Category : Computers
  • Languages : en
  • Pages : 354

This “sobering tale of the real consequences of gender bias” explores how Britain lost its early dominance in computing by systematically discriminating against its most qualified workers: women (Harvard Magazine) In 1944, Britain led the world in electronic computing. By 1974, the British computer industry was all but extinct. What happened in the intervening thirty years holds lessons for all postindustrial superpowers. As Britain struggled to use technology to retain its global power, the nation’s inability to manage its technical labor force hobbled its transition into the information age. In Programmed Inequality, Mar Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. That failure sprang from the government’s systematic neglect of its largest trained technical workforce simply because they were women. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, becoming male-identified in the 1960s and 1970s, labor problems grew into structural ones and gender discrimination caused the nation’s largest computer user—the civil service and sprawling public sector—to make decisions that were disastrous for the British computer industry and the nation as a whole. Drawing on recently opened government files, personal interviews, and the archives of major British computer companies, Programmed Inequality takes aim at the fiction of technological meritocracy. Hicks explains why, even today, possessing technical skill is not enough to ensure that women will rise to the top in science and technology fields. Programmed Inequality shows how the disappearance of women from the field had grave macroeconomic consequences for Britain, and why the United States risks repeating those errors in the twenty-first century.


Discriminating Sex

Discriminating Sex

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  • Author: Amy Sueyoshi
  • Publisher: University of Illinois Press
  • ISBN: 0252050266
  • Category : Social Science
  • Languages : en
  • Pages : 331

Freewheeling sexuality and gender experimentation defined the social and moral landscape of 1890s San Francisco. Middle class whites crafting titillating narratives on topics such as high divorce rates, mannish women, and extramarital sex centered Chinese and Japanese immigrants in particular. Amy Sueyoshi draws on everything from newspapers to felony case files to oral histories in order to examine how whites' pursuit of gender and sexual fulfillment gave rise to racial caricatures. As she reveals, white reporters, writers, artists, and others conflated Chinese and Japanese, previously seen as two races, into one. There emerged the Oriental—a single pan-Asian American stereotype weighted with sexual and gender meaning. Sueyoshi bridges feminist, queer, and ethnic studies to show how the white quest to forge new frontiers in gender and sexual freedom reinforced—and spawned—racial inequality through the ever evolving Oriental. Informed and fascinating, Discriminating Sex reconsiders the origins and expression of racial stereotyping in an American city.


Updating to Remain the Same

Updating to Remain the Same

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  • Author: Wendy Hui Kyong Chun
  • Publisher: MIT Press
  • ISBN: 0262333783
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 261

What it means when media moves from the new to the habitual—when our bodies become archives of supposedly obsolescent media, streaming, updating, sharing, saving. New media—we are told—exist at the bleeding edge of obsolescence. We thus forever try to catch up, updating to remain the same. Meanwhile, analytic, creative, and commercial efforts focus exclusively on the next big thing: figuring out what will spread and who will spread it the fastest. But what do we miss in this constant push to the future? In Updating to Remain the Same, Wendy Hui Kyong Chun suggests another approach, arguing that our media matter most when they seem not to matter at all—when they have moved from “new” to habitual. Smart phones, for example, no longer amaze, but they increasingly structure and monitor our lives. Through habits, Chun says, new media become embedded in our lives—indeed, we become our machines: we stream, update, capture, upload, link, save, trash, and troll. Chun links habits to the rise of networks as the defining concept of our era. Networks have been central to the emergence of neoliberalism, replacing “society” with groupings of individuals and connectable “YOUS.” (For isn't “new media” actually “NYOU media”?) Habit is central to the inversion of privacy and publicity that drives neoliberalism and networks. Why do we view our networked devices as “personal” when they are so chatty and promiscuous? What would happen, Chun asks, if, rather than pushing for privacy that is no privacy, we demanded public rights—the right to be exposed, to take risks and to be in public and not be attacked?


Using Geochemical Data

Using Geochemical Data

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  • Author: Hugh R. Rollinson
  • Publisher: Routledge
  • ISBN: 1317898184
  • Category : Science
  • Languages : en
  • Pages : 389

Using Geochemical Data brings together in one volume a wide range of ideas and methods currently used in geochemistry, providing a foundation of knowledge from which the reader can interpret, evaluate and present geochemical data.