HDR TRIPODS: Illinois Institute for Data Science and Dynamical Systems (iDS2)

该项目在伊利诺伊大学厄巴纳香槟分校(UIUC)建立了伊利诺伊数据科学和动态系统研究所(IDS2)，将数据科学研究与动力系统相结合。IDS2由电气工程、计算机科学、统计学和数学领域的研究人员组成。数据科学已经对日常生活产生了相当大的影响。随着自动驾驶汽车、智慧城市、个性化医疗和人工智能时代的不断涌现，数据驱动的算法和动态反馈循环都将渗透到人类生存的方方面面。越来越清楚的是，对动力系统的研究是数据科学中出现的基本挑战的核心。事实上，系统动力学发生在数据科学的各个方面，从数据生成、建模和推理，一直到学习和自动化。由于动力系统的研究横跨工程、数学、统计学和计算机科学，数据科学和动力系统的综合将是所有这些领域进一步发展的强大催化剂。该项目的目的是通过iDS2启动这一综合，它将利用UIUC在这两个领域的多学科专业知识和优势。IDS2的总体愿景是创建和培育一个跨学科计划，通过为数据科学和动力系统领域开发新的基本原则并扩大其适用性来打破这两个领域之间的界限。该研究所的第一阶段活动将集中在四个相互关联的研究主题上：(1)数据建模和动态系统；(2)采样、推理和动态系统；(3)算法设计和动态系统；(4)决策和动态系统。该研究所将促进与UIUC现有研究和教育实体的协同效应，以促进和扩大UIUC和中西部电气工程、数学、统计和理论计算机科学三脚架社区之间的互动。该项目是国家科学基金会利用数据革命(HDR)大创意活动的一部分。该奖项反映了NSF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 project establishes the Illinois Institute for Data Science and Dynamical Systems (iDS2) at the University of Illinois at Urbana Champaign (UIUC) that combines research in data science with dynamical systems. iDS2 is composed of researchers in electrical engineering, computer science, statistics and mathematics. Data science already exerts considerable influence over daily life. As the age of autonomous vehicles, smart cities, personalized medicine, and artificial intelligence continues to emerge, both data-driven algorithms and dynamical feedback loops will permeate every aspect of human existence. It is becoming increasingly clear that the study of dynamical systems is at the heart of fundamental challenges arising in data science. Indeed, system dynamics occur in every facet of data science, from data generation, modeling, and inference, all the way to learning and automation. Since the study of dynamical systems cuts across the disciplines of engineering, mathematics, statistics, and computer science, a synthesis of data science and dynamical systems will be a powerful catalyst for further advances in all of these fields.The aim of this project is to initiate this synthesis through iDS2, which will leverage the multidisciplinary expertise and strengths at UIUC in these two fields. The overall vision of iDS2 is to create and foster a transdisciplinary program that breaks the boundaries between the fields of data science and dynamical systems by developing new foundational principles for both fields and by broadening their applicability. The Phase I activities of the institute will focus on four interrelated research themes: (1) data modeling and dynamical systems; (2) sampling, inference, and dynamical systems; (3) algorithm design and dynamical systems; (4) decision-making and dynamical systems. The institute will foster synergies with existing research and education entities at UIUC in order to catalyze and scale up interactions between the TRIPODS communities of electrical engineering, mathematics, statistics, and theoretical computer science, both at UIUC and in the Midwest.This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.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.