Infrastructure for Predicting, Understanding, and Mitigating Zoonotic Disease Outbreaks

这个奖项给佛罗里达大学支持一系列的研讨会，将催化围绕自然历史收藏的数据套件的合作。这些讲习班将查明生物多样性和传染病数据方面的差距，以解决与源自其他动物的疾病有关的基础研究和更广泛的社会问题。讲习班的一项成果将是制定一项战略，以制定跨学科培训和研究的综合议程。讲习班的成果将广泛适用于提高社区对传染病的一般认识，通过加强网络基础设施支持和连接自然历史收藏中存储的重要数据来实现。该计划将召集包括学生在内的多元化参与者，并为培养下一代STEM研究人员做出贡献，以维持这些对话。受资助的系列研讨会将汇集自然历史收藏，生物多样性信息学，分类学，系统学，生态学，遗传学，病毒学，病理生物学，传染病，流行病学，社会科学和传播学的代表。这一跨学科的努力将建立一个对话，并制定一个综合的研究议程，以了解，减轻和预测新出现的人畜共患病。该活动的主要目的是揭示自然历史标本在病原体发现和缓解中的潜在作用，从而产生新的方法来收集，共享和解释数据和知识，用于预防，预测和应对人畜共患病起源的疾病（未来大流行病）。为实现这一目标，该项目将确定生物多样性和病理生物学数据连接方面的差距，制定可能的解决方案以缩小这些差距，并使生物多样性和人类健康的观点更加综合，制定制定综合研究议程的计划，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

This award to the University of Florida supports a series of workshops that will catalyze collaborations around suites of data housed in natural history collections. The workshops will identify gaps in biodiversity and infectious disease data to address basic research and broader social issues pertinent to diseases that originate from other animals. An outcome of the workshops will be a strategy for framing an integrated agenda for transdisciplinary training and research. Products of the workshops will be broadly applicable for improving the community’s understanding of infectious diseases in general, achieved through the strengthening the cyberinfrastructure supporting and connecting the important data stored in natural history collections. The plan is to assemble a diverse group of participants that includes students and contributes to the preparation of the next generation of STEM researchers to sustain these conversations.The funded series of workshops will bring together representatives from natural history collections, biodiversity informatics, taxonomy, systematics, ecology, genetics, virology, pathobiology, infectious disease, epidemiology, social science, and communications. This transdisciplinary effort will establish a dialogue and frame an integrated research agenda for understanding, mitigating, and predicting emerging zoonotic disease. A primary aim of the activity is to unveil the potential role of natural history specimens in pathogen discovery and mitigation, resulting in new approaches to gather, share, and interpret data and knowledge for deployment in preventing, predicting, and responding to diseases of zoonotic origins (future pandemics). To achieve this, the project will identify gaps in biodiversity and pathobiology data connections, develop possible solutions to close these gaps and enable a more synthetic view of biodiversity and human health, establish a plan for framing an integrated research agenda, and develop a plan for interdisciplinary training and research.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.