yogsoth-ai/de-anthropocentric-research-engine - Seite 19

resource-constraint

Are resources sufficient? — Quantify compute, data, time, human, and financial resource constraints

Quellsprache: Englisch

resource-envelope-estimation

Estimate resources, budget, and timeline using parametric, analogous, and three-point (PERT) estimation methods.

Quellsprache: Englisch

resource-quantification

Quantify resource demand vs supply vs gap for each resource category

Quellsprache: Englisch

result-analysis

Statistically analyze collected results, verify reproducibility, and synthesize findings

Quellsprache: Englisch

result-validation-loop

Validate results through statistical testing, ROPE judgment, reproducibility re-runs, and final synthesis

Quellsprache: Englisch

resurrection-advocacy

Argue for rejected candidates using Devil's Advocacy, Dialectical Inquiry, and Adversarial Collaboration to ensure elimination was justified.

Quellsprache: Englisch

reversal-generation

Systematically reverse positive statements to generate creative inversions. Produces reversed statements with initial associations.

Quellsprache: Englisch

reverse-brainstorming

How to make it worse? → reverse for solutions. Generate anti-solutions then invert to discover novel approaches.

Quellsprache: Englisch

reviewer2-hat

Hostile reviewer perspective — find fatal flaws, logical gaps, and missing evidence in a solution.

Quellsprache: Englisch

risk-balancing

Balance portfolio risk and return using Markowitz mean-variance, CVaR, Risk parity, and Kelly criterion methods.

Quellsprache: Englisch

risk-of-bias-assessment

Assess methodological bias using RoB2, PROBAST, or QUADAS-2 validated tools

Quellsprache: Englisch

risk-prioritization

Strategy: Action Priority matrix — classifies failure modes into H/M/L priority using severity-weighted scoring per AIAG-VDA 2019 Action Priority tables.

Quellsprache: Englisch

robustness-design

Design experiments to identify failure boundaries and robustness limits

Quellsprache: Englisch

robustness-scoring

Compute robustness index across scenarios with sensitivity analysis

Quellsprache: Englisch

robustness-testing

Test conclusion robustness via multi-model convergence — enumerate assumptions, generate alternatives, compare results, flag fragile conclusions.

Quellsprache: Englisch

robustness-under-uncertainty

Select portfolios that perform well across multiple future scenarios using Minimax regret, Robust optimization, Scenario planning, and Info-gap methods.

Quellsprache: Englisch

role-based-ideation

Role-play as reviewer/practitioner/theorist/novice/competitor to generate diverse perspectives on a solution.

Quellsprache: Englisch

root-cause-drilling

Drill from surface symptoms to root causes via 5 Whys, Ishikawa decomposition, and Current Reality Trees. Validates each causal link with literature evidence.

Quellsprache: Englisch

round-decision

Decide whether to continue iterating or stop based on consensus score, round number, and stability.

Quellsprache: Englisch

sacred-cow-hunting

Find and challenge domain's unquestioned beliefs. Systematic identification and productive violation of dogma.

Quellsprache: Englisch

sacred-cow-identification

Find domain's unquestioned beliefs. Systematic identification of dogma that constrains innovation.

Quellsprache: Englisch

salience-classification

Classify stakeholders by Mitchell et al. framework (Power, Legitimacy, Urgency). Assigns salience category and identifies systematically excluded parties.

Quellsprache: Englisch

sample-size-estimation

SOP: power analysis and required experiment count estimation

Quellsprache: Englisch

saturation-analysis

Track score trajectories, detect saturation/failure points — 15 benchmarks, 50 papers, 60 web searches

Quellsprache: Englisch

scaling-design

Design scaling experiments to characterize performance-resource relationships

Quellsprache: Englisch

scaling-frontier

Analyze behavior across scales — detect regime changes, identify capacity limits, fit scaling laws within regimes.

Quellsprache: Englisch

scaling-regime-detection

Detect regime changes in scaling behavior — breakpoints where behavior qualitatively shifts, mechanisms behind transitions.

Quellsprache: Englisch

scamper-divergence

Execute SCAMPER 7 operators on a target solution. Subagent self-selects best 2-3 operators for deepest exploration.

Quellsprache: Englisch

scamper-transformation

7 operators (Substitute/Combine/Adapt/Modify/Put/Eliminate/Reverse) for systematic transformation of existing solutions.

Quellsprache: Englisch

scenario-construction

Construct distinct future scenarios spanning key uncertainties for portfolio stress testing.

Quellsprache: Englisch

scenario-driver-identification

Identify key uncertainty drivers using PESTEL framework scanning

Quellsprache: Englisch

scenario-impact-assessment

Assess each scenario's impact on the research approach across multiple dimensions

Quellsprache: Englisch

scenario-narrative-construction

Build rich narratives for surviving morphological configurations using Shell method

Quellsprache: Englisch

scenario-stress-testing

Construct distinct future scenarios, evaluate portfolio performance under each, and identify vulnerabilities and robustness characteristics.

Quellsprache: Englisch

scope-calibration

Strategy: Adjust research question scope — zoom in/out until the scope is appropriate

Quellsprache: Englisch

scoping-survey

Broad landscape mapping strategy — quickly understand what exists in a field. Prioritizes breadth over depth with high paper-overview volume and minimal deep reading. Use when entering a new field or needing orientation before committing to deeper…

Quellsprache: Englisch

scoring-synthesis

Synthesize score matrix, rankings, and sensitivity analysis into a final recommendation.

Quellsprache: Englisch

screening-then-decomposition

Two-phase sensitivity — Morris quick screening to eliminate unimportant factors, then Sobol precise decomposition on survivors. Efficient allocation of analytical effort.

Quellsprache: Englisch

screening-then-scoring

First eliminate non-qualifying candidates with non-compensatory rules, then score survivors with full MCDA methods.

Quellsprache: Englisch

seed-protocol-design

SOP: design random seed strategy for reproducibility

Quellsprache: Englisch