The 9th Midwest Workshop on Control and Game Theory, April 22-23, 2023

计算、存储和交换海量数据的能力呈指数级增长，正在推动人类状况发生革命性变化。这导致了一个高度互联的世界，在世界上遥远和不同的地方都可以获得信息。数据处理、存储和通信技术的这些进步正在创建覆盖各种设备和人类的相互依赖的大型网络。管理复杂的相互作用网络的挑战只能通过跨学科的方法来解决。建议举办一个研讨会，汇集控制和博弈论、其应用和相关领域的领先专家，形成新的研究重点，以解决分布式、网络化系统带来的挑战。研讨会将把相关研究人员聚集在一起，在中西部地区形成一个协同有效的协作社区。研讨会将为处于学术生涯早期的学生和研究人员创造机会，在海报会议和闪电演讲中展示他们的成果，并提供合作机会。讲习班的目标是增加妇女发言者和研究人员的参与。通过让学生探索就业机会和相关实习职位，寻求与行业的协同作用。研讨会的技术目标是在博弈论，信息科学，数学和控制理论及其应用的交叉点。越来越多的隐私和安全问题促使分布式体系结构对少数子系统的故障具有弹性，并提供更好的方法来确保信息不被破坏。在方法论方面，基于收集数据的自动学习为管理复杂系统提供了解决方案，这些系统使用更传统的识别方法难以控制/管理，倾向于基于基本物理原理的基于模型的方法。在本次研讨会上，领先的研究人员和学生将聚集在一起，讨论有助于准确描述挑战的主题，并为上述挑战提供解决方案。它还将有助于继续中西部地区日益增长的研究界在研讨会主题方面的互动。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 exponential increase in the ability to compute, store and exchange massive amount of data is fueling transformative changes in the human condition. This has led to a highly connected world with information being accessible at remote and diverse parts of the world. These strides in data processing, storage and communication technologies are creating large networks of interdependencies covering various devices as well as humans. The challenges of managing the complex networks of interactions can only be addressed through interdisciplinary approaches. A workshop is proposed that will bring together leading experts in Control and Game Theory, their applications and associated areas to forge new research thrusts to address the challenges posed by distributed, networked, systems. The workshop will bring the involved researchers together to evolve a synergistic and effective collaborative community in the Midwest region. The workshop will create opportunities for students and researchers early in their academic careers to present their results in poster sessions and lightning talks, and to present opportunities for collaborations. The workshop will target increased participation of women speakers and researchers. Synergies with industry will be sought through enabling students to explore employment opportunities as well as relevant internship positions.The workshop’s technical goals are at the intersection of game theory, informational sciences, mathematics, and control theory and their applications. Increasingly, privacy and security concerns are motivating distributed architectures that are resilient to failures of a few subsystems and offer better means to ensure information is not breached. On the methodologies front, automated learning based on data gathered is offering solutions for managing complex systems that are difficult to control/manage using more traditional means of identification with a leaning toward a model-based approach based on fundamental physics-based principles. In this workshop, leading researchers and students will convene to address topical themes that will help delineate the challenges precisely and to offer solution methodologies for the challenges above. It will also serve to continue interactions of the growing research community in the workshop topics in the Midwest.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.