Second Annual Data Science Workshop: Emerging Data Science Methods for Complex Biomedical and Cyber Data

第二届年度数据科学研讨会题为“复杂生物医学和网络数据的新兴数据科学方法”将于2020年3月26日至27日在奥古斯塔大学（AU）滨河校区举行。研讨会旨在促进数据科学、统计学和其他相关学科之间的合作研究，以解决最困难和最重要的数据和模型驱动的科学挑战，并为下一代STEM劳动力开发急需的技能。工作坊参与者将学习统计和数据科学方法来处理极其复杂的生物医学和网络科学数据，并帮助他们发展分析思维、统计推理、沟通技巧和创造力。我们强烈鼓励与会者为整个研讨会期间举行的海报会议提交摘要。该奖项将支持受邀演讲者，约15名本科生和研究生参加活动，并展示与研讨会主题密切相关的研究海报。研讨会的主题包括深度学习、统计机器学习、差分隐私、贝叶斯数据集成和网络安全数据建模等，以非盟在医学和网络科学研究方面的独特优势和重点为基础。讲习班将采取具体研究概述和讲座的形式，由在各自专题领域作出突出工作的主要专家提供。在每一天结束时，将举行一次小组讨论，由一名专家小组成员和当天的所有发言人主持，以概括当天提出的各种主题，并回答观众的问题和评论。该奖项反映了美国国家科学基金会的法定使命，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 Second Annual Data Science Workshop entitled "Emerging Data Science Methods for Complex Biomedical and Cyber Data" will be held on Augusta University (AU) Riverfront campus, March 26-27, 2020. The workshop aims to foster collaborative research among data science, statistics and other related disciplines for the purpose of addressing the very hardest and most important data- and model-driven scientific challenges, and for developing the much-needed skills for the next generation STEM workforce. The Workshop participants will learn statistical and data science methods to handle the enormously complex biomedical and cyber science data, and help them develop analytical thinking, statistical reasoning, communication skills and creativity. Participants will be strongly encouraged to submit abstracts for poster sessions held during the entire workshop. This award will support the invited speakers, around fifteen undergraduate and graduate students to attend the event and to present research posters closely related to the theme of the workshop. The topics of the workshop include deep learning, statistical machine learning, differential privacy, Bayesian data integration and cybersecurity data modeling, among others, building on AU's unique strength and focus in medical and cyber science research. The workshop will be in the form of specific research overviews and lectures provided by leading experts who have done prominent work in the respective topic areas. At the end of each of the two days, a panel discussion will be held, led by an expert panelist and all speakers of the day, for encapsulating the various topics presented on the day and for addressing questions and comments from the audience.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.