ClusterOS Diagnostic Profile

London Climate Tech Net Zero

London, United Kingdom Extraction-Narrative 93 evidence items

London Climate Tech Net Zero runs on 93 evidence items (London Climate Tech Net Zero UKRI grants: 2532 grants, £2562m total, 419 dist). The diagnostic resolves a Extraction-Narrative configuration at MEDIUM confidence.

9
Active stalls
1
Stacks identified
93
Evidence items
6
Leverage timeline (mo)
S1
Re-proving Instead of Narrowing
low
S2
Coordinating Instead of Deciding
low
S3
Forgiving Instead of Redesigning
indeterminate
S4
Extracting Without Reinvesting
medium
S5
Mediating Instead of Coupling
low
Stabilising Around Incumbents
medium
S7
Narrating Instead of Testing
low
S8
Scaling Activity Instead of Throughput
medium
S9
Waiting for Permission
indeterminate
Stack 01 S4 · S7

Value extraction events generate narrative about ecosystem success; narrative legitimises continued extraction by framing it as ecosystem contribution; uncertainty about whether extraction is harmful absorbed by the success narrative.

"If one UKRI funder published annual data separating value retention (spin-offs headquartered in London, IP owned by London entities, follow-on capital to London non-anchors) from value generation (patents filed, spin-offs created, follow-on funding events), it might reduce the system's ability to absorb success and uncertainty signals without exposing whether extraction is...

6-12 months

Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.

What happens next
This is a structural profile, not a full diagnostic.

A full ClusterOS diagnostic adds actor questionnaire data, working sessions, and anchor interviews — producing higher-confidence stall identification, board-ready stack analysis, and leverage hypotheses calibrated to your specific context.

London Climate Tech Net Zero
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