Data Science Innovation Lab Travel Stipend Support

该奖项为2018年6月25日至29日在俄勒冈州弯曲举行的“2018数据科学创新实验室：单细胞动力学的数学挑战”提供资金。 数据科学创新实验室的目标是促进定量和生物医学研究人员之间新的跨学科合作，以解决使用单细胞数据所带来的数据科学挑战。 单细胞动力学的数学建模旨在促进对活细胞的模块化组织背景下的生物复杂性的理解。细胞的三维结构使生物系统能够隔离，严格调节和提高许多细胞系统的效率。然而，这种结构不是静态的。细胞内的细胞器、专门化的区域和大分子机器是非常动态的，对细胞的内部状态和外部刺激都有反应。系统和细胞生物学可以研究细胞器的起源和动力学，以阐明随着时间和空间的推移细胞功能和功能障碍的网络。该创新实验室需要参加为期五天的密集住宅研讨会。 通过实时和迭代的指导过程，该研讨会旨在促进早期职业生物医学和定量研究人员的新团队的发展，这些研究人员在这一重要研究领域产生多学科合作项目。单细胞动力学模型的计算复杂性是显着的;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、医生和其他数据感知科学家聚集在一起，通过这个数据科学创新实验室开发联合研究项目，预计将产生超出研讨会本身的影响。 它将向数学，统计和定量研究人员介绍解决生物医学“大数据”并将其应用于大规模生物科学研究的挑战。 数据科学创新实验室预计将围绕丰富的生物医学数据集培养一个新的多学科社区。 有关2018年数据科学创新实验室的更多信息可在www.example.com上找到https://bigdatau.ini.usc.edu/innovationlab2018This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进行评估而被认为值得支持。

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.