
Bigger than You: Big Data and Obesity - An Inquiry toward Decelerationist Aesthetics
"I shall consider human actions and appetites just as if it were a question of lines, planes, and bodies." —Spinoza, in Ethics
In her first inquiry toward decelerationist aesthetics, Katherine Behar explores the rise of two “big deal” contemporary phenomena, big data and obesity. In both, scale rearticulates the human as a diffuse informational pattern, causing important shifts in political form as well as aesthetic form. Bigness redraws relationships between the singular and the collective. Understood as informational patterns, collectives can be radically inclusive, even incorporating nonhumans. As a result, the political subject is slowly becoming a new object. This social and informational body belongs to no single individual, but is shared in solidarity with something “bigger than you.”
In decelerationist aesthetics, the aesthetic properties, proclivities, and performances of objects come to defy the accelerationist imperative to be nimbly individuated. Decelerationist aesthetics rejects atomistic, liberal, humanist subjects; this unit of self is too consonant with capitalist relations and functions. Instead, decelerationist aesthetics favors transhuman sociality embodied in particulate, mattered objects; the aesthetic form of such objects resists capitalist speed and immediacy by taking back and taking up space and time. In just this way, big data calls into question the conventions by which humans are defined as discrete entities, and individual scales of agency are made to form central binding pillars of social existence through which bodies are drawn into relations of power and pathos.
Print editions available from Punctum Books
- Page 1
- Page 2
- Page 3
- Page 4
- Page 5
- Page 6
- Page 7
- Page 8
- Page 9
- Page 10
- Page 11
- Page 12
- Page 13
- Page 14
- Page 15
- Page 16
- Page 17
- Page 18
- Page 19
- Page 20
- Page 21
- Page 22
- Page 23
- Page 24
- Page 25
- Page 26
- Page 27
- Page 28
- Page 29
- Page 30
- Page 31
- Page 32
- Page 33
- Page 34
- Page 35
- Page 36
- Page 37
- Page 38
- Page 39
- Page 40
- Page 41
- Page 42
- Page 43
- Page 44
- Page 45
- Page 46
- Page 47
- Page 48
- Page 49
- Page 50
- Page 51
- Page 52
- Page 53
- Page 54
- Page 55
- Page 56
- Page 57
- Page 58
- Page 59
- Page 60
- Page 61
- Page 62
- Page 63
- Page 64
- Page 65
- Page 66
- Page 67
- Page 68
- Page 69
- Page 70
- Page 71
Free Machine Learning Books
11 Books
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- by Christopher M. Bishop
- Data mining
- by I. H. Witten
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- by Various
Free Chemistry Textbooks
9 Books
- CK-12 Chemistry
- by Various
- Concept Development Studies in Chemistry
- by John Hutchinson
- An Introduction to Chemistry - Atoms First
- by Mark Bishop
Free Mathematics Textbooks
21 Books
- Microsoft Word - How to Use Advanced Algebra II.doc
- by Jonathan Emmons
- Advanced Algebra II: Activities and Homework
- by Kenny Felder
- de2de
- by
Free Children Books
38 Books
- The Sun Who Lost His Way
- by
- Tania is a Detective
- by Kanika G
- Firenze_s-Light
- by
Free Java Books
10 Books
- Java 3D Programming
- by Daniel Selman
- The Java EE 6 Tutorial
- by Oracle Corporation
- JavaKid811
- by