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Melissande Machefer on Muck Rack

Melissande Machefer

As seen in: Nature
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Articles

Responsible use of artificial intelligence and machine learning for food security early warning systems

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By Weston Anderson, Inbal Becker-Reshef, Bia Carneiro, Dave English, Andrew Hoell, Yanyan Liu, Melissande Machefer, Michele Meroni, Clionadh Raleigh, Andrew J Tatem, Paola Vesco, Rob Vos, Nicholas Bodanac, Tim Hoffine, Robert Trigwell
| Nature Verified
Artificial intelligence and machine learning are already enhancing food security early warning systems by improving data collection, event monitoring and forecasting. However, to avoid costly errors, artificial intelligence and machine learning should be applied selectively alongside expert oversight, robust governance and transparent practices to maintain accountable and effective humanitarian decision-making.
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A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling - Scientific Data

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By Melissande Machefer
| Nature Verified
Abstract Food insecurity is a complex, multidimensional concept challenging to measure comprehensively. Effective anticipation, monitoring, and mitigation of food crises require timely and comprehensive global data.
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