A school wants minute-by-minute classroom electricity data to change behaviour. Evaluate the scientific value and privacy implications of the project.

Question

Accepted Answer

Fine-resolution data can identify usage patterns and evaluate interventions, but can reveal occupancy or behaviour; collect only needed data, aggregate where possible, control access and obtain transparent consent or governance. State what question high-frequency measurements can answer and define a baseline and comparison period. Recognise confounders such as weather, timetable and equipment changes. Identify inference risks from occupancy patterns even if names are absent. Use data minimisation, aggregation, limited retention, access control and clear participation or school-governance rules.

Smart-meter data ethics

A school wants minute-by-minute classroom electricity data to change behaviour. Evaluate the scientific value and privacy implications of the project.

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