Posthuman Social Science and Computational Culture

Posthuman Social Science and Computational Culture offers theoretical and practical insight into posthuman social science research methods, addressing new challenges in computational culture. Philosophy and theory from media studies, software studies, and science and technology studies (STS) are used to make sense of cultural trends and empirical experiments. This book explores new empiricisms in posthuman social science, with particular attention to computational culture and digital life. This book carefully treats key philosophical thinkers such as Karen Barad, Rosie Braidotti, Gilles Deleuze, Édouard Glissant, Bruno Latour, and Gilbert Simondon, and explains how these theorists help make sense of our current social and material conditions. Essays explore difficult questions for contemporary social science researchers: How should we understand computability and its limits? What is the nature of digital relationality? In what sense are software instruments useful in studying political ecologies? How do sensory and affective atmospheres become robust learning environments? When do arts-based and surrealist experiments have impact? Can mapping experiments help disrupt oppressive spatial regimes where control dominates? Why might we affirm the speculative practices of both science and fiction, as part of a post-colonial Anthropocene epistemology? What differentiates human and machine cognitive behavior? Ideas from many current media theorists in software and cultural studies are taken up and applied, including the work of Louise Amoore, Matthew Fuller, Alexander Galloway, Mark Hansen, Kara Keeling, Achille Mbembe, and Luciana Parisi. This book will be of interest to graduate students and researchers in the social sciences and humanities (education, social work, sociology, anthropology, media studies, feminist studies), who are interested in the power of theory and philosophy, and are designing empirical experiments to investigate the complex ways that computation and digital technology are changing our lives and our sense of how and why we do 'social' research.

Elizabeth de Freitas is Professor and Co-Founder of MIXI, Adelphi University's Manhattan Institute for Studies of STEM and the Imagination, USA. She works across disciplines, developing creative and critical research methodologies for the social sciences, including mapping and other visual methodologies. With expertise in Science and Technology Studies, and the history and philosophy of mathematics, her research explores the power of speculative thought in social inquiry, and the role of algorithmic thinking in control societies. Her work has been funded by the Canada Council for the Arts, the Toronto Arts Council, the Social Sciences and Humanities Research Council of Canada, the US National Science Foundation, the UK Economic and Social Research Council, and the Spencer Foundation.

1. Introduction: Where Lies the Incomputable? 2. The Metamorphic Multiple Earth: Bruno Latour's Anthropocene Science 3. New Empiricisms of the Fractal Fold: Rethinking Monadology in Digital Times 4. Karen Barad's Quantum Ontology and Posthuman Ethics: Queering Relationality 5. Video Data and the Time-image: An-archiving the Body 6. The Biopolitics of the Quantified Self: Sensor Technologies and Worldly Sensibility 7. Eco-Sensory Ethnography and the Surrealist Impulse 8. Atmospheric Data and Software Arts: New Ways of Investigating Learning Environments 9. Re-Animating the Built Environment through Maps and Models 10. New Empiricisms in the Anthropocene: Thinking with Speculative Fiction about Science and Social Inquiry 11. Is there an Outside to Relationality in a Trickster World of Absolute Contingency? 12. Computational Thinking and the Infant Mind: Software Studies between Empiricism and Nativism 13. The Spatial Logic of Epistemic Imaginaries: Guided by Édouard Glissant 14. Fragile Texts and Machine Readers: Trans/In/Dividual Reading Tactics in a Complex Technical Milieu