The Data Institute Conference

2023年3月12日至14日，旧金山大学（USF）数据研究所将在旧金山市中心校区举办第三届两年一次的数据研究所会议。最近可用数据的爆炸式增长从根本上改变了跨学科研究人员处理问题的方式。行业正在经历类似的颠覆，因为数据驱动的决策正在推动数据科学领域的新技能和新角色的创新。传统上，学术研究人员一直是创新和研究的中心，而工业界正在投入大量资源来开发解决许多相同问题的方案。数据研究所会议将吸引工业界和学术界的领袖，探讨数据科学的最新理论进展和技术应用。会议旨在促进下一代跨学科研究，并为来自不同背景的早期职业数据科学家提供教育和专业发展机会。会议的目的是在学术界之间开展新的研究合作，并在学术界和湾区及其他行业的先进研究团体之间建立桥梁。本次会议将对更大的科学界产生同样重要的影响，重点是招聘和增加数据科学领域的多样性，与会者传统上不代表STEM领域。数据科学是一个快速发展的领域，边界不确定，但很大程度上包含了统计、数学和计算科学的研究领域。本次会议将汇集来自工业界和学术界的初级和高级研究人员，就数据科学的最新进展交换意见。将有几个邀请和贡献的演讲轨道，包括网络分析的一个，演讲者将讨论许多关于图形模型的估计，与图相关的推理以及网络在神经科学中的应用的重要问题。其他轨道包括实验和A/B测试的实际问题和进展；机器学习在体育分析中的应用精准医疗。会议还将专门讨论数据科学的社会影响，包括数据隐私和人工智能、数据科学在公共政策中的应用，以及关于数据和算法伦理的小组讨论。这个领域的大多数会议都有数千名与会者，要么是非常广泛的数十个并行会议，要么是专注于数据科学中的单个主题。为了解决这样一个会议的明确需要，数据研究所会议的规模将适中（250人），在任何给定时间最多举行三次平行会议，以最大限度地促进与会者之间的交流。有关数据研究所会议的更多信息，请访问以下网站：https://dsco.usfdatainstitute.orgThis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。

From March 12-14, 2023, the Data Institute at the University of San Francisco (USF) will host its third biennial Data Institute Conference at the downtown campus in San Francisco. The recent explosion of available data has fundamentally changed the way researchers across disciplines approach problems. Industry is experiencing a similar disruption as data driven decision-making is driving innovation toward new skills and roles in data science. While academic researchers have traditionally been the center of innovation and research, industry is pouring significant resources into developing solutions to many of these same problems. The Data Institute Conference will draw leaders from industry and academia to explore the latest theoretical advances and technological applications in data science. The conference aims to promote the next generation of cross-disciplinary research and offers educational and professional development opportunities to early-career data scientists from diverse backgrounds. The conference is designed to launch new research collaborations among academics and to build bridges between academia and advanced research groups from Bay Area industry and beyond. This conference will make an equally important impact to the greater scientific community with a focus on recruiting and increasing diversity in data science, with attendees who are not traditionally represented in STEM fields. Data science is a rapidly developing field with fluid boundaries but largely contains research areas from the statistical, mathematical, and computational sciences. This conference will bring together both junior and senior researchers from industry and academia to exchange ideas from recent advances to data science. There will be several invited and contributed talk tracks, including one in network analysis at which speakers will address many important questions on the estimation of graphical models, inference related to graphs, and applications of networks to neuroscience. Other tracks include practical issues and advances in experimentation and A/B testing; applications of machine learning to sports analytics; and precision healthcare. There will also be tracks devoted to the discussion of the societal impact of data science, including tracks on data privacy and artificial intelligence, the application of data science to public policy, and a panel discussion on data and algorithmic ethics. Most conferences in this space have attendees numbering in the thousands and are either very broad with dozens of parallel sessions or focused on a single topic in data science. Addressing the clear need of such a conference, the Data Institute conference will be of moderate size (250), with up to three parallel sessions at any given time to maximize interchanges between participants. For more information about the Data Institute Conference, please visit the following website: https://dsco.usfdatainstitute.orgThis 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.