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Making sense of the world: framing models for trustworthy sensor-driven systems

Research output: Contribution to journalArticle


Muffy Calder, Simon Dobson, Micahel Fisher, Julie McCann

School/Research organisations


Sensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? Can we model them in a way that captures all the key issues? We define two concepts: frames of reference and frames of function that help us organise models of sensor-based systems and their purpose. Examples from a smart water distribution network illustrate how frames offer a lens through which to organise and balance multiple views of the system. Frames aid communication between modellers, analysts and stakeholders, and distinguish the purpose of each model, which contributes towards our trust that the system fulfils its purpose.


Original languageEnglish
Article number62
Number of pages13
Issue number4
StatePublished - 15 Nov 2018

    Research areas

  • Models, Assurance, Sensor-driven systems, Sensor networks

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ID: 256584469