For over a dozen years, the Vectors Lab has experimented with digital scholarship through its online publication, Vectors, and through Scalar, a multimedia authoring platform. The history of this software lab intersects a much longer tale about computation in the humanities, as well as tensions about the role of theory in related projects.
Tara McPherson considers debates around the role of cultural theory within the digital humanities and addresses Gary Hall’s claim that the goals of critical theory and of quantitative or computational analysis may be irreconcilable (or at the very least require “far more time and care”). She then asks what it might mean to design—from conception—digital tools and applications that emerge from contextual concerns of cultural theory and, in particular, from a feminist concern for difference. This path leads back to the Vectors Lab and its ongoing efforts at the intersection of theory and praxis.
Computer technology is pervasive in the modern world, its role ever more important as it becomes embedded in a myriad of physical systems and disciplinary ways of thinking. The late Michael Sean Mahoney was a pioneer scholar of the history of computing, one of the first established historians of science to take seriously the challenges and opportunities posed by information technology to our understanding of the twentieth century.
Mahoney’s work ranged widely, from logic and the theory of computation to the development of software and applications as craft-work. But it was always informed by a unique perspective derived from his distinguished work on the history of medieval mathematics and experimental practice during the Scientific Revolution. His writings offered a new angle on very recent events and ideas and bridged the gaps between academic historians and computer scientists. Indeed, he came to believe that the field was irreducibly pluralistic and that there could be only histories of computing.
In this collection, Thomas Haigh presents thirteen of Mahoney’s essays and papers organized across three categories: historiography, software engineering, and theoretical computer science. His introduction surveys Mahoney’s work to trace the development of key themes, illuminate connections among different areas of his research, and put his contributions into context. The volume also includes an essay on Mahoney by his former students Jed Z. Buchwald and D. Graham Burnett. The result is a landmark work, of interest to computer professionals as well as historians of technology and science.
Every day, Internet users interact with technologies designed to undermine their privacy. Social media apps, surveillance technologies, and the Internet of Things are all built in ways that make it hard to guard personal information. And the law says this is okay because it is up to users to protect themselves—even when the odds are deliberately stacked against them.
In Privacy’s Blueprint, Woodrow Hartzog pushes back against this state of affairs, arguing that the law should require software and hardware makers to respect privacy in the design of their products. Current legal doctrine treats technology as though it were value-neutral: only the user decides whether it functions for good or ill. But this is not so. As Hartzog explains, popular digital tools are designed to expose people and manipulate users into disclosing personal information.
Against the often self-serving optimism of Silicon Valley and the inertia of tech evangelism, Hartzog contends that privacy gains will come from better rules for products, not users. The current model of regulating use fosters exploitation. Privacy’s Blueprint aims to correct this by developing the theoretical underpinnings of a new kind of privacy law responsive to the way people actually perceive and use digital technologies. The law can demand encryption. It can prohibit malicious interfaces that deceive users and leave them vulnerable. It can require safeguards against abuses of biometric surveillance. It can, in short, make the technology itself worthy of our trust.
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