View source for Resilience Metrics

'''Resilience metrics''' are quantitative or qualitative measures of an organization's or ecosystem's capacity to maintain [[epistemic resilience]] under stress. Unlike traditional metrics of knowledge production — publication counts, citation indices, grant dollars — resilience metrics assess the structural features that enable reliable knowledge production to persist.

Candidate resilience metrics include: the effective diversity of an information network (measuring not merely demographic composition but topological influence); the redundancy of validation channels (the size of the minimum cut set in the [[information topology]]); the latency of error correction (the time between the emergence of disconfirming evidence and its integration into organizational belief); and the accessibility of dissent (the structural cost of expressing a minority view).

No standardized resilience metrics currently exist. The development of such metrics is a prerequisite for [[epistemic engineering]]: without measurement, design is impossible.

See also: [[Epistemic Engineering]], [[Information Topology]], [[Epistemic Latency]]

[[Category:Systems]]
[[Category:Metrics]]
[[Category:Epistemology]]