Financial Inclusion Analytics
Quantitative analysis of financial access, digital finance, financial behaviour and related socioeconomic questions.
View case study →Applied research, analytics, evaluation and evidence work across health, development, finance and humanitarian contexts.
This section presents selected examples of how methodological and analytical capabilities have been applied to real research and organisational questions.
A selected portfolio organised around six project categories
These categories provide a practical view of the work and are not intended to represent the complete portfolio.
WHO Public Health Research
Selected public-health research and analytical work involving population and health evidence.
View case study →Machine Learning Health Decision Support
The considered application of data science and machine learning to health-related analytical questions.
View case study →Selected Evaluation Projects
Programme and project evaluation designed around the question, context and available evidence.
Baseline & Endline Assessments
Structured measurement of programme conditions, indicators and change across implementation periods.
NGO & Development Research Consultancies
Applied research and analytical consulting for development, humanitarian and programme-related questions.
Financial Inclusion Analytics
This project area applies quantitative analysis to questions concerning financial inclusion, digital finance, FinTech, financial behaviour and socioeconomic conditions. It can draw on secondary data analysis and statistical modelling, connecting applied questions with the existing scholarly record in finance and FinTech without treating publications as project deliverables.
- Financial inclusion
- Digital finance & FinTech
- Financial behaviour
- Socioeconomic analysis
- Secondary data analysis
- Statistical modelling
WHO Public Health Research
Selected WHO-related work is presented at the level supported by the current record: public-health research and analysis involving population and health evidence. Relevant methods can include quantitative and epidemiological analysis, secondary data analysis, statistical modelling, research reporting and evidence generation.
- Quantitative research
- Public-health data analysis
- Epidemiological analysis
- Secondary data analysis
- Statistical modelling
- Research reporting
Machine Learning Health Decision Support
Data science and machine learning may be used to examine health-related analytical questions and inform interpretation. This describes an analytical method—not a claim of a deployed clinical, diagnostic or production AI system. Appropriate work may involve health-data analysis, predictive modelling, validation and careful communication of uncertainty.
- Health-data analysis
- Predictive modelling
- Machine learning
- Model validation
- Interpretation
- Evidence-informed decision support
Selected Evaluation Projects
Applied evaluation work may use process, outcome, programme-performance, pre/post or comparative approaches. Impact evaluation is considered only where the design and data support it; methodology is determined by the programme question, context and strength of the available evidence.
- Process evaluation
- Outcome evaluation
- Programme-performance assessment
- Pre/post assessment
- Comparative evaluation
- Impact evaluation where supported
Baseline & Endline Assessments
Baseline studies establish programme conditions and indicator values before or near the start of implementation. Endline studies revisit those measures to examine change and programme performance, with midline assessment included where it adds useful evidence during delivery.
- Establish programme conditions
- Measure agreed indicators
- Compare change over implementation periods
- Assess programme performance
- Inform learning and programme decisions
Assessment to learning
- Baseline
- Implementation
- Midline
- Endline
- Learning
NGO & Development Research Consultancies
Applied research and analytical consulting can support development, humanitarian and programme-related questions. The design is shaped by the organisation’s question, setting and available evidence rather than by a predetermined package.
- Research design
- Quantitative research
- Mixed-methods research
- Programme evaluation
- Secondary data analysis
- Monitoring, Evaluation & Learning
- Evidence synthesis
- Research reporting
A clear route from the research question to useful decision support
The exact workflow depends on the project type, scope, evidence available and decisions the work needs to support.
Problem / Research Question
Methodological Design
Data / Evidence
Analysis
Interpretation
Research or Programme Outputs
Decision Support
Methods selected for the question—not a generic tools catalogue
Established research, analytical, synthesis and evaluation methods may be combined where appropriate to the project design.
- Research design
- Quantitative research
- Mixed-methods research
- Statistical analysis
- Statistical modelling
- Secondary data analysis
- Machine learning where appropriate
- Evidence synthesis
- Programme evaluation
- Monitoring, Evaluation & Learning
- Data visualisation
Substantive settings for selected and potential applications
These are domains across which selected work has been undertaken or in which the methods may be applied; they are not claims that every approach is suitable in every setting.
- Public Health
- Clinical & Health Research
- Financial Inclusion & FinTech
- Development Economics
- Humanitarian Research
- Monitoring, Evaluation & Learning
- Data Science & Analytics
Applied work can connect with several forms of research evidence
Depending on its purpose and scope, an applied project may contribute to a peer-reviewed publication, research report, analytical output, programme evidence, or policy and decision-support material. Not every project results in a publication.
Combine service areas around the evidence need
Project implementation may bring together multiple service families depending on the question, methods, data and intended use.
Research & Evaluation
Research design, quantitative methods and evaluation aligned with the question and evidence available.
View service areaEvidence Synthesis
Structured approaches to finding, appraising and integrating existing evidence.
View service areaData Science & Analytics
Statistical analysis, modelling and responsible machine learning for analytical questions.
View service areaMonitoring, Evaluation & Learning
Measurement systems, programme evidence and learning processes that support better decisions.
View service areaHave a research, analytical, evaluation or evidence project in mind?
Support may range from methodological design and data analysis to evidence synthesis, evaluation and Monitoring, Evaluation & Learning.