Statistics, Agriculture and the Environment

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May
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Statistics, Agriculture and the Environment

 May 16 - May 17  Minneapolis, MN

Agriculture and the environment are closely intertwined, with topics that touch on both areas of interest. The agriculture sector faces the challenge of feeding a growing global population while minimizing environmental impact and preserving natural resources for future generations. By leveraging data science and statistical analysis, research in this area can better predict and mitigate the consequences of climate and pest risks on agricultural production. Additionally, these tools can help reduce the impact of pollution, soil degradation, and water contamination, as well as enhance efforts in trapping greenhouse gases and mitigating flood risks.

Catchup on the Latest News at DSAI HUB

Meet the AI Hub’s new Director of Research: James C. Wilgenbusch

The University of Minnesota has long been a leader in computational research, high-performance computing, and interdisciplinary discovery. As artificial intelligence becomes an increasingly important driver of research and innovation, the AI Hub is expanding its leadership to strengthen collaboration and accelerate AI-enabled research across the University and beyond.

Getting a Head Start on AI in the Classroom: How the University of Minnesota AI Hub is Supporting PK–12 Education

Artificial intelligence is rapidly transforming the way we learn, work, and interact with the world around us. As AI becomes increasingly integrated into everyday life, schools face a critical question: How do we prepare students for a future shaped by technologies that are evolving faster than ever before?

At the University of Minnesota, the AI Hub is helping to answer that question.