Farms.com Home   News

Attn Researchers: Bcrc Proof Of Concept And Clinical Trial Call For Proposals Open

The Beef Cattle Research Council invites proposals focused on projects related to proof of concept and clinical trials. The application deadline for this call is September 3, 2024, at 11:59 PM MT.  

With increased investment in research through the Canadian Beef Cattle Check-Off, the BCRC has committed to provide research funding in two key areas that have previously had limited funding:  

Proof of Concept – proposals to help inform whether a concept is worth pursuing as a larger, more defined funding request  
Clinical Trials – proposals to validate practices or technologies that have been discovered through research projects and/or to facilitate the adaptation of technologies utilized in other sectors, commodities or countries  
The BCRC has committed funding to short-term projects in these two areas, with a maximum of $50,000 per project regardless of duration. Project duration should be between six months to one year, unless a clear rationale can be provided demonstrating the need for a longer timeframe.  

The purpose of this call is to fund proof-of-concept research and clinical trials that will lead to the achievement of objectives in the Canadian Beef Research and Technology Transfer Strategy and the National Beef Strategy. Leveraging producer check-off funds allocated to approved projects with other industry or government cash contributions is encouraged but not required for this call.   

Click here to see more...

Trending Video

What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.