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How to use a combination of quantitative and qualitative data to evaluate your digital health product.
An introduction to agile methods, how to use them, and the most popular methods explained.
This page provides details about DSIT's portfolio of AI assurance techniques and how to use it.
Emerging techniques on how to prevent or minimise the environmental impacts of post-combustion carbon dioxide capture.
How to use an ethnographic study to evaluate your digital health product.
Emerging techniques on how to prevent or minimise the environmental impacts of hydrogen production by electrolysis of water.
Compare different evaluation approaches and choose an appropriate method.
Guidance to help organisations choose a monitoring approach for stack emissions to air that meets Environment Agency and MCERTS requirements (formerly part of M2).
How to use a behaviour change techniques review to evaluate your digital health product.
How to use an interrupted time series to evaluate your digital health product.
This Note describes the principal techniques used to maintain roads within a District in a developing country
Emerging techniques on how to prevent or minimise the environmental impacts of industrial hydrogen production from methane or refinery fuel gas with carbon capture for storage.
How to use a quasi-experimental study to evaluate your digital health product.
Helping public health practitioners conducting evaluations – choosing evaluation methods.
This brief reviews the ‘spectrum of methods’ approach adopted by the Urban Africa: Risk Knowledge (Urban ARK) programme
Case study from Armilla.
Using an ecological momentary assessment to evaluate your digital health product.
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