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）河滨校区举行的题为“复杂生物医学和网络数据的新兴数据科学方法”的第三届年度数据科学研讨会提供支持。随着下一代数据的重要性日益增加，我们努力帮助学生和早期职业研究人员通过第三届数据科学研讨会发展分析思维，统计推理，沟通技巧和创造力。讲习班将采取由统计学习和数据科学领域的主要专家提供具体研究概述和讲座的形式。每天结束时，将举行一次小组讨论，由一名专家顾问和当天的所有发言者主持，以吸收当天提出的各种专题，并回答听众的问题和评论。本次研讨会的参与者将学习学术界、工业界和政府部门使用的最先进的前沿数据科学研究方法，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就与本次研讨会主题密切相关的各自研究进行五分钟的口头报告。该讲习班旨在使参与者掌握新兴的统计方法，使他们能够处理各种应用程序，特别是生物科学和网络科学产生的复杂数据。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。关于这个研讨会的详细信息可在www.example.com上获得https://www.augusta.edu/mcg/dphs/workshop3/index.phpThis奖项反映了NSF的法定使命，并被认为值得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来支持。

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.