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

该奖项为将于2023年3月16日至17日在奥古斯塔大学(AU)河滨校区举办的第三届年度数据科学研讨会提供支持，该研讨会的主题为《面向复杂生物医学和网络数据的新兴数据科学方法》。随着下一代数据的重要性与日俱增，我们努力通过第三次数据科学研讨会帮助学生和职业早期研究人员发展分析思维、统计推理、沟通技能和创造力。讲习班的形式将是统计学习和数据科学领域的主要专家提供具体的研究概述和讲座。每天结束时，将举行一次小组讨论会，由一名专家小组成员和当天的所有发言者主持，以便吸收当天提出的各种主题，并回答听众的问题和评论。研讨会参与者将学习学术界、工业界和政府部门使用的最先进的数据科学研究方法，帮助他们成为STEM领域未来劳动力中更成功的一员。该奖项支持专家演讲者和大约15名本科生和研究生参加研讨会。研究生将展示海报或作五分钟的口头报告，介绍他们各自与本研讨会主题密切相关的研究。讲习班旨在使与会者掌握新的统计方法，使他们能够处理各种应用产生的复杂数据，特别是生物科学和网络科学产生的数据。研讨会的主题包括深度学习、统计机器学习、差异隐私、贝叶斯数据集成和网络安全数据建模等。有关这次研讨会的详细信息可在https://www.augusta.edu/mcg/dphs/workshop3/index.phpThis Awards上获得，该奖项反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award provides support for the 3rd Annual Data Science Workshop entitled “Emerging Data Science Methods for Complex Biomedical and Cyber Data” to be held on Augusta University (AU) Riverfront campus, March 16-17, 2023. With the increasing importance of the next generation of data, we strive to help students and early career researchers develop analytical thinking, statistical reasoning, communication skills, and creativity through this 3rd Data Science Workshop. The workshop will be in the form of specific research overviews and lectures provided by leading experts in the fields of statistical learning and data sciences. At the end of each day, a panel discussion will be held, led by an expert panelist and all the speakers of the day, for assimilating the various topics presented on the day and for addressing questions and comments from the audience. The Workshop participants will learn state-of-the-art forefront data science research methods used in academia, industry, and the government sector, facilitating them to be a more successful members of the future workforce in STEM fields.This award supports the expert speakers and approximately 15 undergraduate and graduate students to attend the workshop. Graduate students will either present posters or give five-minute oral presentations on their respective research closely related to the theme of this workshop. The workshop aims to empower participants with emerging statistical methods that could allow them to address the complex data, arising from various applications and, in particular, from biosciences and cyber science. The topics of the workshop include deep learning, statistical machine learning, differential privacy, Bayesian data integration and cybersecurity data modeling, among others. Detailed information about this workshop is available at https://www.augusta.edu/mcg/dphs/workshop3/index.phpThis 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.