Data extraction across disciplines: shared challenges, practical lessons Photo: V. Meadu (SEBI-Livestock)

Stories

Data extraction across disciplines: shared challenges, practical lessons

SEBI-Livestock team members report back from the Evidence Synthesis Edinburgh Community Initiative meeting, and on their experiences designing a data extraction tool for use in a rapid review to collate data from disparate sources on foot and mouth disease (FMD) impacts for cattle in East Africa.

Free data skills course for farming professionals

Rural goat keepers in Uttar Pradesh, India. A woman holds a small goat. A man next to her holds a bottle of medicine. Between them is a box with the letters PPR.

Estimating the economic impacts of interventions on small-scale livestock producers

Together with GALVmed, we have developed a modelling framework to estimate the economic benefits of their animal health programmes on small-scale livestock producers.
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A cow with horns stands behind a wooden fence with a blue sky in the background.

Net Zero & livestock: bridging the data and evidence gap

We explore some of the data and evidence challenges for understanding the best opportunities for Net Zero in UK's livestock sector.
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Photograph of different coloured medicine pills and tablets in blister packs.

How machine learning can help advance and accelerate AMR research

An innovative machine learning approach spearheaded by SEBI-Livestock and partners could help advance research on antimicrobial resistance (AMR).
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Explore the map of livestock development projects

The Livestock Project Portal maps livestock projects around the world using open-access data. The ambition is to support better coordination on activities and investments.
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Prof Andy Peters speaks into a microphone at a SEBI-Livestock event

Prof. Andy Peters retires from SEBI-Livestock after 50-year career

Staff and students at the University of Edinburgh's Easter Bush Campus gathered to mark the retirement of Professor Andy Peters. Prof. Peters was Programme Director of SEBI-Livestock from 2016-2023. With his team, he built a programme to support donors, donor partners, researchers, and policy makers to access and mobilise livestock data for evidence-based decision making
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