In the news

Media coverage, interviews and public features involving members of the Causal Biosystems Lab.

This page records media coverage, interviews and public features involving members of the Causal Biosystems Lab.

BBC News · 25 March 2026

High-tech birdsong network highlights rare species in Shropshire

BBC News reported on the Greenbox acoustic network after its AI-assisted monitoring highlighted conservation-interest and unusual bird detections, including firecrest and pink-footed goose. The coverage explains how automated sensing is being combined with scientific review rather than treated as a substitute for expert identification.

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BBC Sounds · 25 March 2026

Shropshire’s high-tech birdsong research

BBC radio explored the high-tech research behind Greenbox: a distributed network of autonomous acoustic sensors, wireless data transfer and AI-assisted analysis being used to build a richer picture of bird activity across Shropshire.

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BBC News · 01 August 2025

Harper Adams birdsong project expands across Shropshire

BBC News covered the expansion of the Greenbox network, describing how solar-powered field units and artificial intelligence support continuous biodiversity monitoring before researchers at Harper Adams interpret the resulting evidence.

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Harper Adams University News · 25 June 2025

Causal Biosystems expertise informs Parliamentary inquiry into space technology

A Causal Biosystems researcher gave oral evidence to the House of Lords committee on how satellite communication, navigation and Earth observation are transforming agriculture, connecting crop monitoring, precision positioning, rural connectivity and data-driven crop modelling.

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CUPGRA · 10 December 2024

Eric Allen Memorial Lecture: Anchoring Decisions in Data

A Causal Biosystems researcher delivered the keynote Eric Allen Memorial Lecture, ‘Anchoring Decisions in Data: what is the role for remote sensing and machine learning?’. The lecture examined how potato research and industry decisions can be strengthened by combining crop physiology, sensing, artificial intelligence and data science.

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