Pittsburgh Surveyed

Pittsburgh Surveyed

Author: Maurine Greenwald

Publisher: University of Pittsburgh Pre

Published: 1996-10-15

Total Pages: 340

ISBN-13: 9780822971757

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At the beginning of the century, Pittsburgh was the center of one of the nation's most powerful industries: iron and steel. It was also the site of an unprecedented effort to study the effects of industry on one American city. The Pittsburgh Survey (1909-1914) brought together statisticians, social workers, engineers, lawyers, physicians, economists, labor investigators, city planners, and photographers. They documented Pittsburgh's degraded environment, corrupt civic institutions, and exploited labor force and made a compelling case - in four books and two collections of articles - for reforming corporate capitolism.In its literary history and visual power, breadth, and depth, the Pittsburgh Survey remains an undisputed classis of social science research. Like the Lynds' Middletown studies of the 1920s, the Survey captured the nation's attention, and Pittsburgh came to symbolize the problems and way of life of industrial America as a whole.A landmark volume in its own right, this book of thirteen essays examines the accuracy and impact of the Pittsburgh Survey, both on social science as a discipline and on Pittsburgh itself. It also places the Survey firmly in the context of the social reform movement of the early twentieth century.


Data Action

Data Action

Author: Sarah Williams

Publisher: MIT Press

Published: 2022-09-20

Total Pages: 309

ISBN-13: 0262545314

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How to use data as a tool for empowerment rather than oppression. Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.