Methods & Evaluation
Question clearly. Test rigorously.
Learn from evidence.
We ask important questions, test assumptions with real data, evaluate systems from multiple perspectives, and turn evidence into insights that advance a more open and prosperous world.
Bigger questions
Real-world impact
Data
Methods
People
Real-world systems
Progress
From question to real-world impact.
A structured, iterative approach that connects questions, data, experiments and evidence to insight and action.
Learn more about our approachQuestion
Define meaningful, falsifiable questions.
Data
Gather, clean and integrate diverse data sources.
Experiment
Test with real systems, people and markets.
Benchmark
Compare against baselines and alternatives.
Evaluation
Analyse results, impact and uncertainty.
Failure analysis
Study limitations, risks and failure modes.
Field evidence
Validate in real-world contexts and markets.
Learn
Turn evidence into insight and the next question.
Evidence-led.
Globally informed.
Real-world focused.
Our methods are guided by clear principles to ensure our research is rigorous, relevant and responsibly applied.
Evidence first
Grounded in data, not assumptions.
Data provenance
Transparent sources, methods and context.
Acknowledge limitations
Clear about uncertainties and known failure modes.
Reproducible
Enable independent verification where possible.
Human oversight
People provide judgment, context and responsibility.
Consequence-aware
Evaluate real-world impacts, including distributional effects.
Global and multilingual
Include country-native perspectives and diverse markets.
Real-world validation
Test with real users, institutions and operational settings.
A complete toolkit for real-world research.
We combine complementary methods, tools and evaluation frameworks to generate robust, policy-relevant and commercially relevant insights.
Baselines & benchmarks
Compare against strong baselines and real-world alternatives.
Stress testing
Test robustness under diverse conditions and adversarial scenarios.
Red teaming & failure analysis
Actively probe weaknesses and unintended consequences.
Ranking & evaluation metrics
Use transparent, multi-criteria metrics aligned with real-world impact.
Decision quality
Measure how well systems support better decisions for people and institutions.
Simulation & modelling
Use economic, agent-based and system models to explore scenarios.
Field evidence
Validate with live pilots, market data and case studies.
Human review
Combine quantitative analysis with expert and stakeholder review.
From research to real-world impact.
Our methods power research programs, shared infrastructure and public outputs — creating a virtuous cycle of evidence, insight and real-world change.
Explore our research ecosystemMethods & tools
Common frameworks and evaluation standards.
Research programs
Thematic, multi-disciplinary research.
Shared infrastructure
Data, compute and global access.
Public outputs
Research data, tools and policy insights.
What makes our evidence trustworthy.
We follow a clear publication approach to ensure our research is credible, useful and aligned with real-world needs.
Our publication principlesClear methods
Methods, assumptions and evaluation criteria are documented.
Open where possible
We share data, code and tools when feasible.
Independent review
Research is reviewed internally and, where appropriate, externally.
Real-world relevance
We prioritise research that addresses meaningful global challenges.
Better questions.
Greater impact.
We welcome collaboration with researchers, industry, governments and other organisations to tackle the next generation of challenges.