Conference: Women in Scientific Computing on Complex Physical and Biological Systems

研讨会“妇女在科学计算对复杂的物理和生物系统”将在佛罗里达（UF）盖恩斯维尔，佛罗里达州的大学校园举行从周一10月24日至周三10月26日，2022年。该研讨会将汇集来自计算数学，生命科学，计算机科学和工程各个领域的领先专家，积极讨论科学计算在复杂物理和生物系统上的最新发展，并应用于气候变化，清洁能源和生物技术，以及推进这些快速发展领域的最新发展。该研讨会将提供一个跨学科的论坛，以促进复杂物理和生物系统的科学计算研究，促进新的数学和计算方法在生命科学，计算机科学和工程中的快速传播，并激励更多的研究人员在这些重要领域工作。研讨会将包括演讲、海报、小组讨论、小组讨论和辅导会议，这将促进密集的思想交流，促进富有成效的互动，确定挑战，促进跨学科合作，并启动联合研究项目。该奖项支持研究人员和研究生的出席，优先考虑女性研究人员，研究生，博士后学者，早期职业研究人员，少数民族研究人员和没有其他联邦支持的研究人员。 科学计算是计算工具、技术和理论的结合，在计算机的帮助下解决科学和工程中真实的应用中产生的数学模型。 计算数学不仅是应用数学解决具有挑战性的现实世界的问题，但也发现新的数学理论起源于这样的应用。数学建模和模拟形成了一种预测方法，补充了真实的实验，成为新发现不可或缺的力量。仿真性能不仅依赖于计算能力，而且还依赖于算法的效率和可靠性为基础的复杂系统建模的偏微分方程。设计健壮高效的算法对于表征科学和工程中的许多现象至关重要。生命科学是一个智力丰富的领域，通过对生物学和数学的深入理解之间的协同作用，已经取得了显着的进步。然而，生物学家被大量的实验数据所淹没。需要新的数据管理方法和定量理论来解释他们的观察结果。近年来，科学计算领域出现了与生命科学问题相关的各种挑战，例如开发用于疾病检测的预测模型，特征降维。这些问题和许多其他悬而未决的问题将在参加研讨会的不同科学家群体中进行讨论。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进行评估，被认为值得支持。

The workshop "Women in Scientific Computing on Complex Physical and Biological Systems'' will be held on the campus of the University of Florida (UF) in Gainesville, FL from Monday October 24 to Wednesday October 26, 2022. The workshop will bring together leading experts from various areas of computational mathematics, life science, computer science, and engineering to vigorously discuss recent developments in scientific computing on complex physical and biological systems with applications to climate change, clean energy, and biotechnology as well as to advance the state-of-the-art developments in these rapidly developing fields. The workshop will provide a cross-disciplinary forum for catalyzing the research in scientific computing on complex physical and biological systems, facilitating rapid diffusion of new mathematical and computational methods into life science, computer science, and engineering, and stimulating more researchers to work in these important areas. The workshop will consist of presentations, posters, panel discussions, group discussions and tutorial sessions which will stimulate an intensive exchange of ideas, foster fruitful interactions, identify challenges, promote interdisciplinary collaborations and initiate joint research projects. This award supports the attendance of both researchers and graduate students, with priorities given to female researchers, graduate students, postdoctoral scholars, early career researchers, minority researchers and researchers who do not have other federal support. Scientific computing is a combination of computing tools, techniques, and theories to solve mathematical models arising from real applications in science and engineering with the help of a computer. Computational mathematics is not only the application of mathematics for solving challenging real-world problems but also the discovery of new mathematical theories originating from such applications. Mathematical modeling and simulations form a predictive methodology that supplements real experiments as indispensable power for new discoveries. Simulation performance relies not only on computational power but also on the algorithm efficiency and reliability for the underlying complex systems modeled by PDEs. Designing robust and efficient algorithms is crucial for characterizing many phenomena in science and engineering. Life science is an intellectually rich field that has been advanced remarkably through a synergistic interplay between the deep understanding of biology and mathematics. However, biologists are overwhelmed by the amount of experimental data. New methods for data-management and quantitative theories are needed to interpret and contextualize their observations. A variety of challenges in scientific computing related to problems in life science, such as developing predictive models for disorder detection, feature dimensionality reduction, have emerged in recent years. These issues and many other open problems will be discussed among the diverse group of scientists participating in the workshop.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.