From scattered warnings to something we can act on.

Data Sentinel is how we make sense of migration risks. We gather reports and survey answers, find the scam patterns in them, and turn the totals into prevention work and advocacy.

The model

Every question has to lead to a decision.

We collect as little as we can, write down how we did it, check the quality and say what the data can’t tell us. What we publish is totals and patterns, never individual cases.

CollectConsent-aware surveys, alerts and programme data.

AnalyseClean, validate and identify recurring risk signals.

InterpretAdd context, uncertainty and methodological limits.

ActBuild awareness, prioritise outreach and inform advocacy.

Tools and outputs

Practical tools, no tech theatre.

We use KoboToolbox, spreadsheets, Power BI and Python for field data, quality checks and dashboards. The tool matters less than the decision it helps us make.

Risk indexesHeatmapsScam typologiesTrend briefsEarly-warning indicators

Data SentinelSample layout, not real data

Scam types

Where reports come from

Trend over time

Public evidence layer

Public findings without personal data.

Anything we publish shows patterns, method, limits and what we recommend. Names, passport details, exact private locations and medical information stay out of public view.

Read Privacy, Data & Ethics

Data-quality questions we ask

Why are we collecting this variable?
Who needs the information?
Can the same decision be made with less data?
What bias or missingness could affect the result?
How will the analysis lead to action?

Add your answers to the data.

The Data Sentinel survey is anonymous and open to everyone.

Take the survey