NSF Student Travel Grant for 2022 UChicago AI+Science Summer School (UChicago AI+Sci SS)

芝加哥大学数据科学研究所的人工智能+科学计划将与芝加哥大学数学与统计创新研究所（IMSI）、芝加哥大学詹姆斯弗兰克研究所（JFI）和数据科学基础研究所（IFDS）合作，于2022年8月推出首届人工智能+科学暑期学校。AI+Science暑期学校的目标是向新兴的AI+Science领域引入新一代多样化、跨学科的研究生、博士后学者和研究人员。人工智能+科学暑期学校将帮助建立社区，并推动新的研究方向，重点关注物理和生物科学领域的人工智能科学发现。该计划包括讲座，小组讨论，动手编程课程和海报会议。专题研讨会的演讲者包括来自芝加哥大学和其他机构的尖端研究人员，他们在人工智能和自然科学的交叉领域从事严谨的工作。人工智能+科学暑期学校将作为芝加哥大学数据科学研究所的首批活动之一，在芝加哥大学校园内外建立和建设人工智能+科学社区。为参与的学生提供旅行奖学金，降低了那些可能无法参加的学生的参与门槛，并通过尽可能多的有能力和合格的参与者来推动人工智能+科学领域的发展，同时建立社区并提供机会，从而服务于上述使命。AI+Science暑期学校的目标是向新兴的AI+Science领域引入新一代多样化、跨学科的研究生、博士后学者和研究人员。暑期学校涵盖的主题将集中在这一新兴科学发现范式的四个核心主题：人工智能揭示新的自然规律；人工智能引导科学测量；基于物理的机器学习；以及推进人工智能前沿的科学发现。人工智能+科学暑期学校将帮助建立社区，并推动新的研究方向，重点关注物理和生物科学领域的人工智能科学发现。暑期学校的主题将包括：物理信息和约束神经网络；人工智能用于地球科学和气候建模；化学和分子生物学中人工智能引导的搜索；经典系统和量子系统的张量网络；主动学习和人工智能引导实验设计。AI+Science暑期学校的10-15名学生将获得旅行补助。获得旅行奖学金的参与者将至少有50%是女性，其他未被充分代表的少数民族和第一代大学生。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。

The University of Chicago Data Science Institute’s AI+Science initiative, in partnership with the Institute for Mathematical and Statistical Innovation (IMSI), the James Franck Institute (JFI) at the University of Chicago, and the Institute for Foundations of Data Science (IFDS), will launch its inaugural AI+Science Summer School in August 2022. The goal of the AI+Science Summer School is to introduce a new generation of diverse, interdisciplinary graduate students, postdoctoral scholars, and researchers to the emerging field of AI+Science. The AI+Science Summer School will help build community and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences. The program features lectures, panels, hands-on coding sessions, and poster sessions. The featured workshop speakers include cutting-edge researchers both from UChicago and other institutions who are engaging in rigorous work at the intersection of AI and the natural sciences in a range of domains. The AI+Science Summer School will serve as one of the inaugural activities under the UChicago Data Science Institute to establish and build the AI+Science community, both on the UChicago campus and beyond. Travel scholarships for participating students lower the barrier for participation to students who might not otherwise be able to attend, and serve the mission stated above by including as many capable and qualified participants as possible in this effort to advance the field of AI+Science while simultaneously building community and providing opportunity.The goal of the AI+Science Summer School is to introduce a new generation of diverse, interdisciplinary graduate students, postdoctoral scholars, and researchers to the emerging field of AI+Science. The topics covered in the Summer School will focus on four core themes at the heart of this emerging paradigm of scientific discovery: AI uncovering new laws of nature; AI guiding scientific measurement; physics-informed machine learning; and scientific discovery advancing AI frontiers. The AI+Science Summer School will help build community and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences. Topics of the summer school will include: physics-informed and -constrained neural networks; AI for geosciences and climate modeling; AI-guided search in chemistry and molecular biology; tensor networks for classical and quantum systems; active learning and AI-guided experimental design. Travel grants will be awarded to 10-15 participating students in the AI+Science Summer School. The participants who are awarded travel scholarships will be at least 50% women, other underrepresented minorities, and first generation college students.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.