Darren Wershler, Lori Emerson, Jussi Parikka: The Lab Book: Situated Practices in Media Studies (2022)

23 May 2022, dusan

“From the “Big Science” of Bell Laboratories to the esoteric world of séance chambers to university media labs to neighborhood makerspaces, places we call “labs” are everywhere—but how exactly do we account for the wide variety of ways that they produce knowledge? More than imitations of science and engineering labs, many contemporary labs are hybrid forms that require a new methodological and theoretical toolkit to describe. The Lab Book investigates these vital, creative spaces, presenting readers with the concept of the “hybrid lab” and offering an extended—and rare—critical investigation of how labs have proliferated throughout culture.

Organized by interpretive categories such as space, infrastructure, and imaginaries, The Lab Book uses both historical and contemporary examples to show how laboratories have become fundamentally connected to changes in the contemporary university. Its wide reach includes institutions like the MIT Media Lab, the Tuskegee Institute’s Jesup Wagon, ACTLab, and the Media Archaeological Fundus. The authors cover topics such as the evolution and delineation of lab-based communities, how labs’ tools and technologies contribute to defining their space, and a glossary of key hybrid lab techniques.”

Publisher University of Minnesota Press, March 2022
ISBN 9781517902179, 1517902177
x+333 pages

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The Postresearch Condition (2021)

2 November 2021, dusan

“After an omnipresent “Research Decade,” the concept of artistic research currently seems to be in need of a recharge. Pressing questions are: Should we talk about a postresearch situation or a postresearch condition? Could this be compared with how poststructuralism relates to structuralism as its philosophical comprehension and the elaboration of its consequences? And how could a postresearch condition address contemporary art practices?

To answer these questions, it is important to start from the three conceptual spaces that fundamentally determine what we mean by research: creative practice (experimentality, art making, potential of the sensible); artistic thinking (open-ended, speculative, associative, non-linear, haunting, thinking differently); and curatorial strategies (topical modes of political imagination, transformational spaces for encounters, reflection and dissemination) – and to comprehend these spaces in their mutual, dynamic coherence as a series of indirect triangular relationships.

From whatever conceptual space one departs, an artistic research practice could signify a transversal constellation – as a creative proposition for thought in action. Yet, that mode of research could never be reduced to a method of one of the three constituents. Thus, artistic research cannot be equated with creative innovation, disciplinary knowledge production, or political activism. It seems urgent now to profoundly challenge and question the issue of how to articulate and present the condition of the intersection between the three conceptual spaces.”

With contributions from Peter Osborne, Hito Steyerl, Vytautas Michelkevičius, Florian Cramer, Terike Haapoja, EARN Working Groups, Rachel Armstrong, Amanda Beech, Denise Ferreira da Silva, Irit Rogoff.

Editor Henk Slager
Final editor Annette W. Balkema
Publisher Metropolis M Books, Utrecht, September 2021
ISBN 9789081830270
71 pages

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Catherine D’Ignazio, Lauren F. Klein: Data Feminism (2020)

14 May 2020, dusan

“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.”

Publisher MIT Press, 2020
strong Ideas series
Creative Commons CC BY-NC-ND license
ISBN 9780262044004, 0262044005
xii+314 pages

Interviews with authors: Jason Forrest (Nightingale, 2019), Zoë Corbyn (The Guardian, 2020).

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