Data Science Innovation Lab Travel Stipend Support

数据科学创新实验室旅行津贴支持

• 批准号: 1830890
• 负责人: Paul Thompson
• 金额: $ 4万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-15 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830890&HistoricalAwards=false
• 关键词: Data; Science; Innovation; Lab; Travel

This award provides funding for the "2018 Data Science Innovation Lab: Mathematical Challenges of Single Cell Dynamics" held June 25-29, 2018 in Bend, Oregon. The goal of the Data Science Innovation Lab is to foster new interdisciplinary collaborations among quantitative and biomedical researchers to address data science challenges arising from the use of data from single cells. Mathematical modeling of single cell dynamics aims to facilitate understanding of biological complexity in the context of the modular organization of the living cell. The three-dimensional structure of the cell gives biological systems the ability to sequester, tightly regulate, and increase the efficiency of many cellular systems. However, this structure is not static. The organelles, specialized domains, and macromolecular machines inside the cell are extremely dynamic, responding both to the internal state of the cell and to external stimuli. Systems and cell biology can study the origins and dynamics of organelles to elucidate the networks that underlie cellular function and dysfunction over time and space. This Innovation Lab entails participation in an intensive five-day residential workshop. Through a real-time and iterative mentoring process, the workshop aims to facilitate the development of new teams of early-career biomedical and quantitative investigators who generate multidisciplinary cooperative projects in this important research area.The computational complexity of models of single-cell dynamics is significant; the analysis requires modern mathematical, computer science, statistical, and data visualization methods. Bringing mathematicians, statisticians, and computer scientists together with biologists, physicians, and other data-aware scientists to develop joint research projects via this Data Science Innovation Lab is expected to have impact beyond the workshop itself. It will introduce mathematical, statistical, and quantitative researchers to the challenges in addressing biomedical "big data" and applying them to large-scale bioscience research. The Data Science Innovation Lab is expected to cultivate a new multi-disciplinary community built around rich biomedical data sets. Further information about the 2018 Data Science Innovation Lab may be found at https://bigdatau.ini.usc.edu/innovationlab2018This 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.

该奖项为2018年6月25日至29日在俄勒冈州本德举行的“ 2018年数据科学创新实验室：单细胞动力学的数学挑战”提供了资金。 数据科学创新实验室的目的是促进定量和生物医学研究人员之间新的跨学科合作，以应对由于使用来自单个单元的数据而引起的数据科学挑战。 单细胞动力学的数学建模旨在促进在活细胞模块化组织的背景下对生物复杂性的理解。细胞的三维结构使生物系统具有隔离，严格调节和提高许多细胞系统效率的能力。但是，这种结构不是静态的。细胞器内的细胞器，专门域和大分子机器非常动态，既响应细胞的内部状态和外部刺激。系统和细胞生物学可以研究细胞器的起源和动力学，以阐明在时间和空间中细胞功能和功能障碍的网络。这个创新实验室需要参加一个五天的密集住宅研讨会。 通过实时和迭代的指导过程，该研讨会旨在促进在这个重要研究领域中产生多学科合作项目的早期生物医学和定量研究人员的新团队的发展。单细胞动力学模型的计算复杂性很重要；该分析需要现代数学，计算机科学，统计和数据可视化方法。 将数学家，统计学家和计算机科学家与生物学家，医师和其他数据感知的科学家一起通过此数据科学创新实验室开发联合研究项目，预计有望超越研讨会本身。 它将引入数学，统计和定量研究人员，以解决针对生物医学“大数据”并将其应用于大规模生物科学研究的挑战。 预计数据科学创新实验室将培养一个围绕丰富的生物医学数据集建立的新的多学科社区。 有关2018年数据科学创新实验室的更多信息可以在https://bigdatau.ini.usc.edu/innovationLab20182018这项奖项中找到反映NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查审查标准来通过评估来获得支持的。