Round 4 · simulation 11 · mcts-m2b.m2b-ken-greedy

Round 2030

Round 4 of 20 in simulation 11 of Kenya, greedy, 20 years: 5 actions, Trade bloc rupture, and the index −0.021 to 6.80.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1

State in and state out

The simulation as it came into 2030 (the end of 2029) and as it left it.

Capability index
6.80 (−0.021)
In: 6.82
Rank by index
84
In: 84
Domains at Tier 1
0
In: 0
Credits carried
43
In: 32
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology3.022.99−0.02912
Strategic Infrastructure7.227.17−0.0488
National Security4.434.41−0.0219
Human Capital7.537.65+0.11812
Information & Influence8.158.18+0.0279
Governance & Integrity8.528.48−0.03715
Financial Strength7.787.71−0.06720
Production & Innovation7.177.10−0.06515
Trade & Investment7.547.48−0.06313

Decision, shocks and propagation

What happened in 2030: the credits, the greedy method's decision and its actions, any shocks and upside events, the tier changes, and the groups that moved most, split into what was invested, lost to decay, struck by events and carried through the dependency graph.

Credits. Income 148, plus 32 carried in. Maintenance 115. Spent 22 on actions (build 13, buy 5, partner 5). 43 carried over.

  • BuildTechnical & Vocational Skills5 credits for 0.54 levelshighest_marginal_returnahead of Lifelong Learning & Reskilling by 10 per cent
  • BuildLifelong Learning & Reskilling5 credits for 0.53 levelshighest_marginal_returnahead of Trade Policy & Market Access by 2 per cent
  • PartnerTrade Policy & Market Access5 credits for 0.62 levelshighest_marginal_returnahead of Development Cooperation & Global Assistance by 0 per cent
  • BuyDevelopment Cooperation & Global Assistance5 credits for 0.55 levelshighest_marginal_returnahead of Digital & AI Competence by 0 per cent
  • BuildDigital & AI Competence5 credits for 0.46 levelshighest_marginal_returnahead of Export Capability & Sophistication by 1 per cent
  • Shock: Trade bloc rupture S01. −8.4 points across the groups it bears on, after exposure, absorption and vulnerability, spread over its duration.
The groups that moved most in 2030, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Development Cooperation & Global Assistance+0.50+0.550.00−0.04−0.01
Technical & Vocational Skills+0.44+0.460.00−0.020.00
Lifelong Learning & Reskilling+0.43+0.450.00−0.020.00
Digital & AI Competence+0.37+0.390.00−0.02−0.01
Trade Policy & Market Access+0.17+0.310.00−0.14−0.01
Global Value Chain Position−0.140.000.00−0.12−0.01