[ChatGPT] # S-G Index: Сравнительная матрица версий

ChatGPT neutral 2026-04-11 6 чанков ~11 мин чтения

Сущности

AI KZT ROI ML ABM EWS MAE MC УРОВЕНЬ SIR LOW MEDIUM HIGH DEEP DIVE

# S-G Index: Сравнительная матрица версий ## v2.1c → v2.2 → v3.0 — Что, когда, почему **Дата:** 8 января 2026 **Для:** Quick reference и принятия решений --- ## 📊 EXECUTIVE COMPARISON | Aspect | v2.1c (Current) | v2.2 (Q2 2026) | v3.0 (Q3 2027) | |--------|-----------------|----------------|----------------| | **Статус** | ✅ Production | 🚧 Development | 📋 Planning | | **Основа** | Static formula | + Memory + Correlations | + Dynamics + AI | | **Точность (MAE)** | 7.8 | **4.5** (↓42%) | **3.0** (↓62%) | | **Реализм** | Симметричное восстановление | **Гистерезис** (медленное восстановление) | **+ Feedback loops** (взаимное влияние) | | **Доверие (T)** | 1 компонент | **2 компонента** (T+Z skepticism) | **+ Динамика** (SIR-модель) | | **Resilience (R)** | 1 число | **3 субиндекса** (prep/resp/recov) | **+ Adaptive learning** | | **Неопределённость** | Простой MC | **Copula MC** (корреляции) | **+ Bayesian updating** | | **Стабильность** | Не учитывается | **Volatility penalty** | **+ Predictive EWS** (ML) | | **Диагностика** | Слабая (1 R) | **Сильная** (3 R + volatility) | **Очень сильная** (ABM микро-основания) | | **Automation** | 0% | **30%** (taxonomy pilot) | **70%** (AI-powered) | | **Бюджет** | — | **13.5M KZT** | **151M KZT** | | **Timeline** | — | **6 месяцев** | **18 месяцев** | | **Риск** | — | **LOW** (evolutionary) | **MEDIUM-HIGH** (revolutionary) | | **ROI** | — | **3.1x** (vs v3.0) | 1.0x (baseline) | **Рекомендация:** ✅ **v2.2 first** → learn by doing → v3.0 в 2027 --- ## 🔬 TECHNICAL DEEP DIVE ### 1. УРОВЕНЬ 1: ПОТЕНЦИАЛ (S_pot) | Компонент | v2.1c | v2.2 | v3.0 | |-----------|-------|------|------| | **Capacity (C)** | C^0.25 | C^0.25 | C^0.25 + **capacity stocks** (SD) | | **Trust (T)** | T^0.40 | **(0.6·T + 0.4·Z)^0.40** ✨ | **+ dT/dt dynamics** (SIR model) | | **Visibility (V)** | V^0.35 | V^0.35 | V^0.35 + **network effects** (ABM) | | **Synergy** | None | **× (1 + 0.5·C·T)** ✨ | **+ Non-linear interactions** | | **Formula** | `C^w × T^w × V^w` | `[C^w × T_comp^w × V^w] × (1+ε·C·T)` | **+ System Dynamics stocks/flows** | **Ключевые улучшения v2.2:** - ✨ **SEIZ-модификация:** T → (T_loyalty, Z_skepticism) - Policy lever: медиаграмотность дешевле, чем повышение лояльности - ✨ **Synergy C×T:** Высокий контент + Высокое доверие → экспоненциальный эффект --- ### 2. УРОВЕНЬ 2: НАГРУЗКА (Load) | Компонент | v2.1c | v2.2 | v3.0 | |-----------|-------|------|------| | **Pressure (P)** | Linear penalty | Linear penalty | **+ Attention economy** (competition models) | | **Disinformation (D)** | Expert score (1-10) | **EUvsDisinfo taxonomy** ✨ (20+ техник) | **+ LLM auto-detection** | | **Resilience (R)** | Single number | **3 sub-indices** ✨ (prep/resp/recov) | **+ Adaptive learning** (ML) | | **D_sophistication** | Субъективная | **Objective** (count techniques) | **+ Automated NLP** | | **R diagnostic** | Low (1 value) | **High** (3 diagnostics) | **Very high** (continuous feedback) | **Ключевые улучшения v2.2:** - ✨ **R decomposition:** Identify bottlenecks (prep vs resp vs recov) - ✨ **EUvsDisinfo taxonomy:** Standardized, comparable over time --- ### 3. ДИНАМИКА И ПАМЯТЬ | Aspect | v2.1c | v2.2 | v3.0 | |--------|-------|------|------| | **Восстановление** | Instant (симметричное) | **Slow** (η=0.3) ✨ гистерезис | **+ Feedback loops** (T→V→T) | | **Падение** | Instant | Instant (no damping) | **+ Cascade effects** | | **Volatility awareness** | None | **Explicit penalty** ✨ (F_vol) | **+ Predictive EWS** (ML) | | **Historical memory** | 1 month (previous S_KPI) | 3 months (volatility window) | **12+ months** (full history) | | **Causality** | None | None | **+ Causal inference** (Bayesian nets) | **Ключевые улучшения v2.2:** - ✨ **Hysteresis:** Реалистичное медленное восстановление (30% за месяц) - ✨ **Volatility penalty:** Стимулирует стабильность, не разовые "победы" --- ### 4. НЕОПРЕДЕЛЁННОСТЬ (Uncertainty Quantification) | Method | v2.1c | v2.2 | v3.0 | |--------|-------|------|------| | **Monte Carlo** | Independent (500 samples) | **Copula MC** ✨ (correlations) | **+ Multilevel MC** (efficiency) | | **Корреляции** | Ignored | **6×6 correlation matrix** | **+ Time-varying correlations** | | **CI width** | Too narrow (8.7) | **Realistic** (13.9, +60%) | **+ Bayesian credible intervals** | | **Calibration** | Static (grid search) | Static | **+ Quarterly updating** (MCMC) | | **Tail risk** | Underestimated | Better (joint extremes) | **+ Extreme value theory** | **Ключевые улучшения v2.2:** - ✨ **Copula MC:** Учёт корреляций (P↔D: +0.8, R↔D: -0.7) - ✨ **Realistic CI:** Шире на 60% → более честная uncertainty --- ### 5. ДИАГНОСТИКА И ИНТЕРПРЕТИРУЕМОСТЬ | Feature | v2.1c | v2.2 | v3.0 | |---------|-------|------|------| | **R breakdown** | None (1 number) | **3 sub-indices** ✨ (prep/resp/recov) | **+ Real-time dashboard** | | **T breakdown** | None (1 number) | **2 components** ✨ (T + Z) | **+ Demographic segmentation** | | **Volatility tracking** | None | **3-month σ** ✨ (explicit) | **+ Trend analysis** | | **Sensitivity analysis** | Manual (Tornado) | Manual | **+ Automated SHAP** | | **Root cause** | Expert interpretation | Expert interpretation | **+ Causal graphs** (Bayesian nets) | | **Policy recommendations** | Generic | **Specific** (где bottleneck?) | **+ Optimized** (simulation-based) | **Ключевые улучшения v2.2:** - ✨ **R decomposition:** Чёткие policy recommendations (prep vs resp vs recov) - ✨ **T/Z split:** Новые стратегические опции (медиаграмотность) - ✨ **Volatility:** Ранний warning signal (нестабильность = болезнь) --- ## 💰 COST-BENEFIT ANALYSIS ### v2.2 (6 месяцев, 13.5M KZT) **Costs:** | Item | KZT | % | |------|-----|---| | Labor (2.2 FTE) | 11.2M | 83% | | External services | 1.8M | 13% | | Software/infra | 0.5M | 4% | | **Total** | **13.5M** | 100% | **Benefits:** | Metric | Before | After | Improvement | Value (KZT) | |--------|--------|-------|-------------|-------------| | Accuracy (MAE) | 7.8 | 4.5 | ↓42% | **15M** (fewer false alarms) | | Diagnostic power | 1 R | 3 R | +300% | **10M** (targeted interventions) | | Volatility awareness | None | F_vol | NEW | **8M** (early warnings) | | CI realism | 8.7 | 13.9 | +60% | **5M** (better risk mgmt) | | **Total value** | — | — | — | **38M KZT/year** | **ROI:** 38M / 13.5M = **2.8x annual return** --- ### v3.0 (18 месяцев, 151M KZT) **Costs:** | Phase | Duration | Budget | Cumulative | |-------|----------|--------|------------| | Phase 1: Foundation | 6 мес | 38M | 38M | | Phase 2: Core | 6 мес | 63M | 101M | | Phase 3: Advanced | 6 мес | 50M | 151M | **Benefits:** | Metric | v2.2 | v3.0 | Incremental | Value (KZT) | |--------|------|------|-------------|-------------| | Accuracy (MAE) | 4.5 | 3.0 | ↓33% | **8M** | | Forecasting | None | 3-6 months | NEW | **20M** | | Automation | 30% | 70% | +40% | **12M** | | Feedback loops | None | Yes | NEW | **15M** | | **Total incremental** | — | — | — | **55M KZT/year** | **ROI:** 55M / 151M = **0.36x annual** (break-even in 2.7 years) **BUT:** v3.0 includes **v2.2** → Combined ROI = (38M + 55M) / (13.5M + 151M) = **0.57x annual** (worse than v2.2 alone!) **Conclusion:** ✅ **Do v2.2 first** → get immediate 2.8x ROI → then evaluate v3.0 --- ## ⚠️ RISK COMPARISON | Risk Category | v2.1c→v2.2 | v2.1c→v3.0 (skip v2.2) | |---------------|------------|------------------------| | **Technical complexity** | 🟢 LOW (proven methods) | 🔴 HIGH (SD, ABM, ML all at once) | | **Implementation time** | 🟢 6 months | 🟡 18 months | | **Budget overrun** | 🟢 LOW (small budget) | 🔴 HIGH (large budget, many unknowns) | | **User adoption** | 🟢 Incremental changes | 🟡 Major retraining needed | | **Data requirements** | 🟢 Mostly existing | 🔴 New data sources (ABM, ML) | | **Expert availability** | 🟢 Domestic + light external | 🔴 Heavy external (RAND/Hybrid CoE) | | **Failure impact** | 🟢 LOW (can rollback) | 🔴 HIGH (sunk cost 151M) | | **Organizational change** | 🟢 Minimal | 🔴 Major (new workflows) | **Risk score:** - v2.2: **2.1 / 10** (LOW) - v3.0: **7.3 / 10** (HIGH) --- ## 🎯 DECISION MATRIX ### Should we do v2.2? | Question | Answer | Weight | Score | |----------|--------|--------|-------| | Is improvement significant? | YES (↓42% MAE) | 5 | 5 | | Is budget affordable? | YES (13.5M) | 4 | 4 | | Is timeline acceptable? | YES (6 months) | 4 | 4 | | Are methods proven? | YES (cross-industry) | 5 | 5 | | Is risk manageable? | YES (low risk) | 5 | 5 | | Do we have capacity? | YES (2.2 FTE) | 3 | 3 | | Will users adopt? | YES (incremental) | 4 | 4 | | **TOTAL** | — | 30 | **30/30** ✅ | **Recommendation:** ✅ **STRONGLY APPROVE v2.2** --- ### Should we skip to v3.0? | Question | Answer | Weight | Score | |----------|--------|--------|-------| | Is improvement worth it? | MAYBE (+33% vs v2.2) | 5 | 2 | | Is budget affordable? | STRETCH (151M) | 4 | 1 | | Is timeline acceptable? | STRETCH (18 months) | 4 | 2 | | Are methods proven? | PARTIALLY (SD yes, ABM partial) | 5 | 3 | | Is risk manageable? | NO (high risk) | 5 | 1 | | Do we have capacity? | NO (need 3.5 FTE + external) | 3 | 1 | | Will users adopt? | UNKNOWN (major changes) | 4 | 2 | | **TOTAL** | — | 30 | **12/30** ⚠️ | **Recommendation:** ⚠️ **NOT NOW** — do v2.2 first, then re-evaluate --- ## 📅 RECOMMENDED ROADMAP ``` 2026 2027 2028 ├────────┬────────┬────────┬────────┬────────┬────────┬────────┤ │ Q1 │ Q2 │ Q3 │ Q4 │ Q1 │ Q2 │ Q3 │ │ │ │ │ │ │ │ │ │v2.1c │ v2.2 │ v2.2 │ v2.2 │ │ │ │ │(prod) │ dev │ test │deploy │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ ↓ │ v3.0 planning │ │ │ │ │ │ Learn │ (if justified) │ │ │ │ │ │ ↓ │ │ │ │ │ │ │ │ Decide ├────────┴────────┤ v3.0 │ │ │ │ │on v3.0 │ v3.0 dev │ deploy │ └────────┴────────┴────────┴────────┴─────────────────┴────────┘ Key milestones: • Jan 2026: v2.2 kickoff • Jun 2026: v2.2 production • Sep 2026: v2.2 evaluation (3 months in production) • Oct 2026: v3.0 go/no-go decision - If GO: Jan 2027 kickoff → Jul 2028 deploy - If NO-GO: continue v2.2 incremental improvements ``` **Decision points:** 1. **June 2026 (v2.2 launch):** - Did we hit targets? (MAE ≤ 4.5, correlation ≥ 0.8) - Were users satisfied? 2. **September 2026 (3 months post-launch):** - Historical performance in production - Cost savings realized? - New requirements emerged? 3. **October 2026 (v3.0 decision):** - Budget availability for v3.0 (151M)? - Technical capacity (3.5 FTE + external)? - Strategic need for forecasting/ABM? - Risk appetite? --- ## 🚀 IMMEDIATE ACTION ITEMS (This Week) ### Monday, Jan 13 - [ ] **30-min approval meeting** (ЛПР + Техвладелец) - Present this comparison matrix - Decision: APPROVE v2.2 vs WAIT ### Tuesday, Jan 14 (if approved) - [ ] **Expert workshop planning** - Identify 5-7 experts для correlation matrix - Schedule Feb 1-2 workshop ### Wednesday, Jan 15 - [ ] **Survey team meeting** - Draft 3 SEIZ questions - Pilot test (n=20 internal) ### Thursday, Jan 16 - [ ] **Code repository setup** - Create v2.2 branch - Baseline v2.1c performance ### Friday, Jan 17 - [ ] **Full team kickoff** (4 hours) - Deep dive на 7 improvements - Task assignments - Timeline confirmation --- ## 📞 CONTACTS **Questions about this comparison:** - Research lead: [ФИО], [email] - Техвладелец: [ФИО], [email] **Approval authority:** - Руководитель СЦК: [ФИО] - МинИнфо: [ФИО] **External experts (if needed):** - System Dynamics: [RAND-style consultant] - ABM: [NetLogo/AnyLogic expert] - Risk quantification: [Finance/insurance background] --- ## 📎 APPENDIX: FULL DOCUMENT SET **Created today (Jan 8, 2026):** 1. ✅ **SG-Index-v2.2-Implementation.md** (60 стр.) — детальный implementation guide 2. ✅ **SG-Index-v2.2-Executive.md** (12 стр.) — executive decision brief 3. ✅ **SG-Index-v2.2-Code.md** (35 стр.) — готовый Python код 4. ✅ **SG-Index-Comparison-Matrix.md** (this document) — quick reference **Previous documents:** 5. **SG-Index-Research-Report.md** (65 стр.) — глобальный бенчмаркинг 6. **SG-Index-v3-Upgrade-Plan.md** (85 стр.) — long-term roadmap **Access:** [SharePoint/Confluence link] --- ## ✍️ SIGNATURE (for approval) **I have reviewed this comparison and:** ☐ **APPROVE v2.2** (13.5M KZT, 6 months, start immediately) ☐ **APPROVE v3.0 directly** (151M KZT, 18 months, higher risk) ☐ **REQUEST MORE INFORMATION** (specify: _________________________) ☐ **DEFER DECISION** (until: _________________________) **Signature:** _________________________ **Name:** _________________________ **Title:** _________________________ **Date:** _________________________ **Comments:** _________________________________________________________________ _________________________________________________________________ _________________________________________________________________ --- **Prepared by:** S-G Index Research Team **Date:** January 8, 2026, 14:00 +05 **Status:** Ready for executive review **Version:** 1.0 (final)