Land Core Risk Model Lead Analyst Sarah Manski Awarded Neogen Land Grant Prize

 
 
 

Big news for Land Core's Risk Model: Sarah Manski, PhD Candidate in Statistics at Michigan State University, and our lead analyst on the Risk Model project, was awarded the inaugural Neogen Land Grant Prize! Congratulations, Sarah!

Administered through MSU’s Office of Research and Innovation, the prize will help Manski and our team expand and verify our data, improving the quality and scope of the model. The funds will also support risk model expansion across the Midwestern region.

“I am honored to have received the Neogen Land Grant Prize for continuation and expansion of my research (developing the Land Core Risk Model)," said Sarah Manski. "This grant will go a long way to expanding the impact of our project throughout the Midwest, especially to my home state of Michigan. Our work has the potential to facilitate widespread adoption of regenerative agriculture and, in the spirit of land grant institutions like MSU and the Neogen Land Grant Prize, make American agriculture more sustainable, climate-resilient and climate-friendly.”

“She is a highly competent statistical and mathematical scientist, an excellent science writer, and is fully committed to the cause of regenerative and sustainable agriculture," said Dr. Frederi Viens, Professor of Statistics and Probability at MSU and Lead Statistician on the Risk Model team. "It's an honor to work with her on this project.”

“She and the whole team have as a primary objective to keep farmers' interests at the top of every decision,” Viens said. “As a Michigan farmer myself, this means a lot. By working with a major farm lender, we are going straight to the source of how we can make a difference in farmers’ pocketbooks, and now with Ms. Manski's plans under the Neogen Land Grant Prize, our project's potential will further extend to Michigan farmers.”

Our thanks to MSU for supporting soil health research!

Read more on MSU's news page, and learn more about the Land Core Risk Model here.