NSF AI INSTITUTE IN DYNAMIC SYSTEMS

Welcome

Mission

The NSF AI Institute in Dynamic Systems is developing new artificial intelligence technologies to improve how complex engineering systems are designed, tested, manufactured, and operated. Modern aircraft and advanced manufacturing systems are among the most sophisticated technologies ever created, yet their development remains slow and expensive. The Institute is accelerating these processes by creating AI tools that help engineers predict, optimize, and control systems governed by the laws of physics. The Institute advances fundamental research at the intersection of AI, engineering mathematics, and the physical sciences, while further delivering sustained impact by expanding educational opportunities through freely available courses, open software, and public datasets, training the next generation of scientists and engineers and broadening access to AI education nationwide.

About Us

Founded Oct. 1, 2021, as part of the National Science Foundation's effort to advance machine learning and AI across the sciences, the Institute is committed to integrating machine learning and artificial intelligence methods for a broad range of scientific and engineering applications. The $20 million investment integrates institutions from the Pacific Northwest (Washington, Montana State, Nevada, Hawaii, Portland State, Boise State and Alaska) with Harvard and Columbia Universities. Renewed October 1, 2026, we are excited to continue this endeavor and expand our partnerships to include the California Institute of Technology, Colorado School of Mines, and the University of Michigan. Our aim is to not only develop fundamental ML/AI technologies but also to broadly share these methods with the science and engineering communities by providing open-source code, data, and lectures on the broad and diverse range of topics we consider as an Institute.

Collection of Information
The AI Institute in Dynamic Systems is committed to respecting individuals’ privacy. The Institute will only collect data that is needed and provided by individuals who provide consent by submitting form(s).

Use of Information
The Institute will only use your personal data on a lawful basis to fulfill a legitimate interest of the Institute, such as demographic information supplied by individuals through informed consent. This information is presented in a non-personally identifiable format, employing anonymization and aggregation techniques to protect individual privacy. Demographic data is utilized to support diversity, equity, and inclusion initiatives.

Non-Institute Websites
The Institute may provide links on its website to other non-Institute websites. Your use of non-Institute websites is subject to the terms and conditions or privacy statements of the providers of those websites. We do not have control over external websites and recommend reviewing their privacy policies.

Data Protection
The Institute strives to protect information through measures described in the University of Washington Administrative Policy Statements 2.2 University Privacy Policy and 2.6 Information Security Controls and Operational Practices.

Retention
The Institute retains your data for at least the minimum required retention according to applicable University of Washington Records Retention Schedule(s) or for the duration of your relationship with the Institute.

Guiding Principles for Privacy Practices
Minimization: Collect only what is needed & retain only as long as needed
Accountability: Knowing & understanding our responsibilities toward privacy
Protection: Safeguarding & anonymization and de-identification
Awareness: Transparency about use of data & opportunities to opt in/out

AI Institute in Dynamic Systems is a National Artificial Intelligence Research Institute funded by the National Science Foundation (NSF).