TRIPODS: Institute for Foundations of Data Science (IFDS)

该项目的目的是为麻省理工学院致力于数据科学基础的跨学科研究所播下种子。在第一阶段的三年中，该项目的目标是促进数学，统计学和理论计算机科学之间的研究和教育互动，无论是在麻省理工学院内部还是在整个研究界。在此过程中，团队还将发展（潜在的）第二阶段活动所需的组织能力和可见性。第一阶段的项目活动将围绕5个学期的主题进行组织。每个主题将专门讨论至少两个（通常是三个）TRIPODS领域交叉的一个主题，并将侧重于促进它们之间的互动。具体主题是：统计和计算权衡，次线性算法和分布测试，复杂结构的学习，图形模型和交换，以及非凸优化。在每个主题内，PI将组织许多活动，包括研讨会，秋季/春季学校，包括介绍材料和定期研讨会。他们还将支持知识转移活动，包括在办公时间提供有关数据科学的算法，数学和统计方面的免费帮助和咨询。为了促进参与者之间的互动，该项目将支持两个项目博士后，他们将在不同学科之间发挥连接器的作用。

The aim of this project is to plant the seeds for an interdisciplinary institute devoted to foundations of data science at MIT. During the three years of Phase I, the project goal is to stimulate research and educational interactions between mathematics, statistics and theoretical computer science, both within MIT and in the research community at large. On the way, the team will also develop the organizational capabilities and visibility needed for the (potential) Phase II activities.The project activities in Phase I will be organized around 5 semester-long themes. Each theme will be devoted to a topic at the intersection of at least two (and often three) TRIPODS areas, and will focus on catalyzing interactions between them. The specific themes are: statistical and computational tradeoffs, sub-linear algorithms and distribution testing, learning with complex structures, graphical models and exchangeability, and non-convex optimization. Within each theme, the PIs will organize numerous activities, including a workshop, a fall/spring school covering introductory material, and regular seminars. They will also support knowledge transfer activities, including office hours that will offer free help and consultation on algorithmic, mathematical and statistical aspects of data science. To facilitate the interactions between the participants, the project will support two project postdocs, who will play the role of connectors between different disciplines.