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Natures of Data A Discussion between Biologists, Artists and Science Scholars [Pehme köide]

  • Formaat: Paperback / softback, 156 pages, kõrgus x laius x paksus: 209x137x14 mm, kaal: 232 g
  • Ilmumisaeg: 13-Mar-2020
  • Kirjastus: Diaphanes AG
  • ISBN-10: 3035802246
  • ISBN-13: 9783035802245
Teised raamatud teemal:
  • Formaat: Paperback / softback, 156 pages, kõrgus x laius x paksus: 209x137x14 mm, kaal: 232 g
  • Ilmumisaeg: 13-Mar-2020
  • Kirjastus: Diaphanes AG
  • ISBN-10: 3035802246
  • ISBN-13: 9783035802245
Teised raamatud teemal:
Computer-based technologies for the production and analysis of data have been an integral part of biological research since the 1990s at the latest. This not only applies to genomics and its offshoots but also to less conspicuous subsections such as ecology. But little consideration has been given to how this new technology has changed research practically. How and when do data become questionable? To what extent does necessary infrastructure influence the research process? What status is given to software and algorithms in the production and analysis of data? These questions are discussed by the biologists Philipp Fischer and Hans Hofmann, the philosopher Gabriele Gramelsberger, the historian of science and biology Hans-Jörg Rheinberger, the science theorist Christoph Hoffmann, and the artist Hannes Rickli. The conditions of experimentation in the digital sphere are examined in four chapters&;&;Data,&; &;Software,&; &;Infrastructure,&; and &;in silico&;&;in which the different perspectives of the discussion partners complement one another. Rather than confirming any particular point of view, Natures of Data deepens understanding of the contemporary basis of biological research.
Introduction 9(22)
Data
14(3)
Software
17(4)
Infrastructures
21(3)
In Silico
24(3)
Acknowledgments
27(4)
Data
31(34)
Analog/Digital
31(6)
Data Reproducibility
37(4)
Data Scientist
41(4)
Trust
45(4)
Accuracy
49(2)
Data Visualization
51(7)
The Research Object Form
58(7)
Software
65(32)
Automation Of The Observer
65(8)
Software Cultures And Their Agency
73(4)
Understanding Software
77(3)
Eloquent Data
80(4)
The Incompleteness Of Software
84(2)
Software-Based Experimentation
86(11)
Infrastructures
97(20)
Materialities And Infrastructures
97(5)
Inside And Outside
102(1)
The Sensual Presence Of Data
103(2)
Infrastructure And Research
105(2)
Stability/Instability Of Infrastructures
107(4)
Distancing Through Infrastructures
111(6)
In Silico
117(24)
The Developmental Hourglass
117(6)
Quality Of A Dataset
123(1)
Agent-Based Models
124(2)
Data Massage
126(3)
Why In Silico?
129(3)
Rearranging
132(2)
Times Of Experimentation
134(7)
Experiments, Traces, Data Streams A Reminiscence
141(4)
Participants 145(4)
List of Illustrations 149(2)
Index 151