The Annual Data Institute Conference

2019年3月10日至12日，旧金山大学(USF)数据研究所将在旧金山USF市中心校区主办数据研究所大会。在过去的十年里，可用数据的爆炸性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创新，走向新的技能和角色，这些技能和角色通常被称为“数据科学”。虽然学术研究人员传统上一直是创新和研究的中心，但业界正在投入大量资源，为许多同样的问题开发解决方案。这种孤立和并行的方法寻找解决方案的时机已经成熟，适合召开一次致力于跨越这一传统分歧交流思想的会议。本次会议旨在吸引产业界和学术界的数据科学领军人物，共同探索数据科学的最新理论进展和技术应用，推动下一代跨学科研究。这次会议将对更大的科学界产生同样重要的影响，重点是招募和增加数据科学的多样性，与会者传统上不在STEM领域代表。这项建议致力于支持学生、博士后学者和职业生涯早期的研究人员，特别是那些来自代表性不足群体的人。数据科学是一个快速发展的具有流体边界的领域，但在很大程度上包含了统计、数学和计算科学的研究领域。本次会议将汇聚来自产业界和学术界的初级和高级研究人员，就这些领域数据科学的最新进展交换意见。课程包括网络分析、实验设计、高维信号处理和机器学习，以及致力于这些统计主题在深度学习、社会公益和营销方面的最新应用的课程。在召开数据科学会议时，显然需要这种新颖的方法。这一领域的大多数会议都有数千人参加，要么非常广泛，有数十个平行会议，要么集中在数据科学的一个主题上。这将是中等规模(约350)，在任何给定的时间有三个或更少的平行会议，有许多重叠的研究线索，以便最大限度地提供机会，在学者和行业从业者之间开展合作和建立新的研究。要了解更多有关数据研究所会议的信息，请访问网站：https://www.sfdatainstitute.org/.This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。

From March 10th - 12th, 2019, the Data Institute at the University of San Francisco (USF) will host the Data Institute Conference at the downtown campus of USF in San Francisco. In the past decade the 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 that are often coined "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. This isolated and paralleled approach to finding solutions is ripe for a conference dedicated to exchanging ideas across this traditional divide. This conference aims to draw leaders of data science in industry and academia to explore the latest theoretical advances and technological applications in data science to promote the next generation of cross-disciplinary research. 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 that are not traditionally represented in STEM fields. This proposal is devoted to the support of students, post-doctoral scholars, and early-career researchers, especially those from underrepresented groups. Data Science is a rapidly developing field with fluid boundaries but largely contains research areas in the statistical, mathematical and computational sciences. This conference will bring together both junior and senior researchers from industry and academia to exchange ideas on the recent advances of data science in these areas. Tracks include network analysis, experimental design, high dimensional signal processing and machine learning, as well as tracks dedicated to recent applications of these statistical topics to deep learning, social good, and marketing. There is a clear need for this novel approach to a conference in data science. 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. This will be of moderate size (~350) with three or fewer parallel sessions at any given time with many overlapping research threads so as to maximize the opportunity to collaborate and establish new research between academics and industry practitioners. To learn more about the Data Institute Conference, please visit the website: https://www.sfdatainstitute.org/.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.