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 HallÕs claim that the goals of critical theory and of quantitative or computational analysis may be irreconcilable (or at the very least require Òfar more time and careÓ). She then asks what it might mean to designÑfrom conceptionÑdigital 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.

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. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

A wide-ranging, interconnected anthology presents a diversity of feminist contributions to digital humanities In recent years, the digital humanities has been shaken by important debates about inclusivity and scope—but what change will these conversations ultimately bring about? Can the digital humanities complicate the basic assumptions of tech culture, or will this body of scholarship and practices simply reinforce preexisting biases? Bodies of Information addresses this crucial question by assembling a varied group of leading voices, showcasing feminist contributions to a panoply of topics, including ubiquitous computing, game studies, new materialisms, and cultural phenomena like hashtag activism, hacktivism, and campaigns against online misogyny. Taking intersectional feminism as the starting point for doing digital humanities, Bodies of Information is diverse in discipline, identity, location, and method. Helpfully organized around keywords of materiality, values, embodiment, affect, labor, and situatedness, this comprehensive volume is ideal for classrooms. And with its multiplicity of viewpoints and arguments, it’s also an important addition to the evolving conversations around one of the fastest growing fields in the academy. Contributors: Babalola Titilola Aiyegbusi, U of Lethbridge; Moya Bailey, Northeastern U; Bridget Blodgett, U of Baltimore; Barbara Bordalejo, KU Leuven; Jason Boyd, Ryerson U; Christina Boyles, Trinity College; Susan Brown, U of Guelph; Lisa Brundage, CUNY; micha cárdenas, U of Washington Bothell; Marcia Chatelain, Georgetown U; Danielle Cole; Beth Coleman, U of Waterloo; T. L. Cowan, U of Toronto; Constance Crompton, U of Ottawa; Amy E. Earhart, Texas A&M; Nickoal Eichmann-Kalwara, U of Colorado Boulder; Julia Flanders, Northeastern U Library; Sandra Gabriele, Concordia U; Brian Getnick; Karen Gregory, U of Edinburgh; Alison Hedley, Ryerson U; Kathryn Holland, MacEwan U; James Howe, Rutgers U; Jeana Jorgensen, Indiana U; Alexandra Juhasz, Brooklyn College, CUNY; Dorothy Kim, Vassar College; Kimberly Knight, U of Texas, Dallas; Lorraine Janzen Kooistra, Ryerson U; Sharon M. Leon, Michigan State; Izetta Autumn Mobley, U of Maryland; Padmini Ray Murray, Srishti Institute of Art, Design, and Technology; Veronica Paredes, U of Illinois; Roopika Risam, Salem State; Bonnie Ruberg, U of California, Irvine; Laila Shereen Sakr (VJ Um Amel), U of California, Santa Barbara; Anastasia Salter, U of Central Florida; Michelle Schwartz, Ryerson U; Emily Sherwood, U of Rochester; Deb Verhoeven, U of Technology, Sydney; Scott B. Weingart, Carnegie Mellon U.

American slaves drew on memories of African musical traditions to construct instruments from carved-out gourds covered with animal skin. Providing a sense of rootedness, solidarity, and consolation, banjo picking became an essential part of black plantation life, and its unmistakable sound remains versatile and enduring today, Laurent Dubois shows.

Examining the construction, manipulation and re-definition of life in contemporary technoscientific culture, this book aims to re-focus concern on the ethics rather than on the 'nature' of artificial life.

Julia Cagé explains the economics and history of the media crisis and offers a solution: a nonprofit media organization, midway between a foundation and a joint stock company, supported by readers, employees, and innovative financing such as crowdfunding. Her business model is inspired by a central idea: that news, like education, is a public good.