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Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Computomics
73 episodes
3 days ago
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
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Nature
Science
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All content for Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions is the property of Computomics and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
Show more...
Nature
Science
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From Lab to Legislation: Bridging Science and Policy
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
25 minutes 56 seconds
6 months ago
From Lab to Legislation: Bridging Science and Policy

In this episode of our podcast Amrit Nanda, Executive Manager of Plants for the Future ETP, discusses the importance of plant breeding, public-private collaboration, and science-based policymaking in the EU. She highlights the platform’s mission to connect academia, industry, and policymakers, and to improve science communication through initiatives like “Plantastic Discoveries.” A recent study on 20 years of EU research funding revealed limited growth for plant breeding despite strong overall program growth. Amrit stresses the need for long-term funding models, more support for Eastern Europe, and the potential of gene editing and AI.

Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?