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Quantified Self as Epistemological Anarchism
1Politecnico di Milano, Milan, Italy.
The quantified self movement, often overlooked by philosophy, raises significant epistemological questions. This study explores these issues through the lens of epistemological anarchism, suggesting a potential crisis in scientific knowledge.
Area of Science:
- Philosophy of Technology
- Epistemology
- Sociology of Science
Background:
- The quantified self phenomenon, involving self-tracking and data collection, is increasingly prevalent.
- While addressed by sociology and medical humanities, its philosophical implications, particularly in epistemology, remain underexplored.
- Contemporary technology's role in shaping our understanding of knowledge and selfhood is a critical area of inquiry.
Purpose of the Study:
- To investigate the epistemological issues arising from the quantified self phenomenon.
- To analyze the quantified self through the framework of epistemological anarchism.
- To explore the potential crisis in the notions of knowledge and science stemming from self-tracking technologies.
Main Methods:
- Philosophical analysis of the quantified self phenomenon.
- Application of epistemological anarchism as a theoretical lens.
- Examination of representative case studies illustrating the epistemological stance.
Main Results:
- The quantified self can be interpreted through epistemological anarchism, challenging traditional knowledge structures.
- This perspective highlights a potential crisis in how we understand knowledge, particularly the relationship between particularity and universality.
- The study identifies a widespread attitude of self-diagnosis using technology, reflecting broader epistemological shifts.
Conclusions:
- The quantified self phenomenon presents significant philosophical challenges to established notions of knowledge and science.
- Epistemological anarchism offers a valuable framework for understanding the self-tracking movement's impact on knowledge construction.
- The widespread use of technology for self-diagnosis indicates a broader shift in how individuals engage with and validate knowledge.
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