York University -led safe water tool nearly three times more effective than standard practice, new study finds
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Updates every hour. Last Updated: 13-Jan-2026 09:11 ET (13-Jan-2026 14:11 GMT/UTC)
A new study finds a dramatic increase in safe drinking water when a machine learning-enabled tool created by York University researchers is used to optimize chlorination levels in refugee camp water supplies. Lead author Syed Imran Ali says that the new study shows that the Safe Water Optimization Tool (SWOT) vastly out-performs status-quo guidelines for safe water supply in humanitarian response.
A new critical review, published in the journal CABI Agriculture and Bioscience, highlights the emergence and scientific basis of regenerative agriculture – proposing a working definition centred on ecological cycles and farm system outcomes.
Dr Nicholas Bardsley, author of the paper from the Department of Agri-Food Economics and Marketing at the University of Reading, suggests that as global agriculture faces intensifying soil degradation, climate disruption, and ecological breakdown, there is a need for a deeper re-evaluation of how food is produced and what it means to farm regeneratively.