Marina Gržinić (ed.): Border Thinking: Disassembling Histories of Racialized Violence (2018)

“Border Thinking: Disassembling Histories of Racialized Violence aims to question and provide answers to current border issues in Europe. Central to this investigation is a refugee crisis that is primarily a crisis of global Western capitalism and its components: modernization, nationalism, structural racism, dispossession, and social, political, and economic violence.

In this volume, these notions and conditions are connected with the concept of borders, which seems to have disappeared as a function of the global neoliberal economy but is palpably reappearing again and again through deportations, segregations, and war. How can we think about these relations in an open way, beyond borders? Is it possible to develop border thinking for a radical transformation, as a means to revolutionize the state of things? To do this, we must reconsider what is possible for the social and the political as well as for art and culture.”

With contributions by Ilya Budraitskis, Maira Enesi Caixeta, C.A.S.I.T.A., Yuderkys Espinosa Miñoso, Miguel González Cabezas, Marina Gržinić, Juan Guardiola, Çetin Gürer, Neda Hosseinyar, Njideka Stephanie Iroh, Adla Isanović, Fieke Jansen, Tjaša Kancler, Zoltán Kékesi, Betül Seyma Küpeli, Gergana Mineva, Musawenkosi Ndlovu, Stanimir Panayotov, Suvendrini Perera, Jelena Petrović, Khaled Ramadan, Rubia Salgado, Marika Schmiedt, Joshua Simon, Aneta Stojnić, Shirley Anne Tate, Göksun Yazıcı, Hiroshi Yoshioka.

Publisher Sternberg Press, Berlin, 2018
Publication Series of the Academy of Fine Arts Vienna, 21
ISBN 9783956793837
308 pages
via AkBild Vienna

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Sylvia Wynter: On Being Human as Praxis (2015)

“The Jamaican writer and cultural theorist Sylvia Wynter is best known for her diverse writings that pull together insights from theories in history, literature, science, and black studies, to explore race, the legacy of colonialism, and representations of humanness. Sylvia Wynter: On Being Human as Praxis is a critical genealogy of Wynter’s work, highlighting her insights on how race, location, and time together inform what it means to be human. The contributors explore Wynter’s stunning reconceptualization of the human in relation to concepts of blackness, modernity, urban space, the Caribbean, science studies, migratory politics, and the interconnectedness of creative and theoretical resistances. The collection includes an extensive conversation between Sylvia Wynter and Katherine McKittrick that delineates Wynter’s engagement with writers such as Frantz Fanon, W. E. B. DuBois, and Aimé Césaire, among others; the interview also reveals the ever-extending range and power of Wynter’s intellectual project, and elucidates her attempts to rehistoricize humanness as praxis.”

Essays by Katherine McKittrick, Denise Ferreira da Silva, Walter D. Mignolo, Bench Ansfield, Nandita Sharma, Rinaldo Walcott, Carole Boyce Davies, Demetrius L. Eudell, and a conservation with Sylvia Wynter.

Edited by Katherine McKittrick
Publisher Duke University Press, Durham and London, 2015
ISBN 9780822358343, 0822358344
xiii+290 pages

Reviews: Anthony Bayani Rodriguez (Antipode, 2015), Lea Hülsen (Kult, 2016), Kaiama L. Glover (Contemporary Women’s Writing, 2016), Inge Mathijssen (philoSOPHIA, 2018), Lauren Nelson (E3W Review of Books, 2019).

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

“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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