CSUMS: Information and Decision Algorithm Laboratories (IDeA Labs)

该项目进一步发展了以学生为中心的跨学科研究实验室网络，这些实验室从信息、动力学和控制的共同数学框架中探索算法决策过程。这些“信息和决策算法实验室”或“IDEA实验室”形成了一个研究模型，旨在通过允许学生从不同的应用领域抽象出诸如逼近、优化和控制等基本概念来向学生演示数学的力量。这些实验室中的每一个都有研究项目，邀请合作，促进与其他研究小组的互动，并鼓励与业界建立伙伴关系。然而，所有的项目都抽象地聚焦于算法决策过程，并向学生介绍这些问题领域背后的常见数学主题。算法决策过程无处不在，从公司部署的战略到基金经理做出的投资决策，从新陈代谢网络中部署的监管信号到政府做出的政策决策，无处不在。这项工作的目的是通过在不同学科的真实研究经验，突破特定学科的术语，向学生揭示算法决策过程背后的共同数学和计算结构。

This project furthers the development of a network of interdisciplinary student-focused research laboratories that explore algorithmic decision processes from a common mathematical framework of information, dynamics, and control. These "Information and Decision Algorithm Laboratories", or "IDeA Labs", form a research model designed to demonstrate the power of mathematics to students by allowing them to abstract fundamental concepts such as approximation, optimization, and control from a diverse set of application domains. Each of these laboratories house research projects, invite collaborations, facilitate interaction with other research groups, and encourage partnerships with industry. Nevertheless, all the projects are focused abstractly on algorithmic decision processes and introduce students to the common mathematical themes underlying these problem areas.Algorithmic decision processes are ubiquitous, arising everywhere from the strategies deployed by corporations to investment decisions made by fund managers, and from regulatory signals deployed in metabolic networks to policy decisions made by governments. The purpose of this work is to cut through the jargon of particular disciplines and reveal to students the common mathematical and computational structures behind algorithmic decision processes through bona fide research experiences in a variety of disciplines.