Track-D: Data-Driven Disease Prevention and Control in Animal Health

该项目旨在解决保持良好的牲畜健康、高生产率和效率是畜牧业可持续性和成功的关键。为此，该项目旨在整合动物生产和健康领域的数据、知识和个人，以开发一个多层次的数据收集和处理管道以及先进的人工智能分析、可视化和决策支持工具，以促进和改进动物健康和系统优化(即精确流行病学)的“个性化”或“精确”管理。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project seeks to address the maintenance of good livestock health, high productivity, and efficiency are key to the sustainability and success of the livestock industry. To do this the project aims to converge data, knowledge and individuals across the animal production and health spaces to develop a multilevel data collection and processing pipeline and advanced AI analytical, visualization, and decision support tools to facilitate and improve the “personalized” or “precision” management of animal health and system optimization, namely precision epidemiology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.