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UW to lead new NSF institute for using artificial intelligence to understand dynamic systems

The UW-led AI Institute for Dynamic Systems will focus on fundamental AI and machine learning theory, algorithms and applications for real-time learning and control of complex dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict.

The overall goal of this institute is to integrate physics-based models with AI and machine learning approaches to develop data-enabled efficient and explainable solutions for challenges across science and engineering.

Some examples include: partnering with high school programs that focus on AI-related projects and creating a post-baccalaureate program that will actively recruit and support recent college graduates from underrepresented groups, United States veterans and first-generation college students with the goal of helping them attend graduate school.

We will also make this training available to the community at large, thus enforcing a disciplined approach to thinking about AI and its implications for our emerging societal concerns around data, data privacy and the ethical application of AI algorithms.”

“We are so excited to bring together a critical mass of amazing and innovative researchers from across the U.S. to really move the needle in developing machine learning technology for physical and engineering dynamic systems,”

These 11 new AI institutes are building on the first round of seven AI institutes funded in 2020, and expand the reach of these institutes to include a total of 40 states and Washington D.C. In addition to the UW-led institute, the state of Washington will also house the Institute for Agricultural AI for Transforming Workforce and Decision Support, or AgAID Institute, led by Washington State University.

“From the University of Washington’s Tech Policy Lab that studies the grand challenges around artificial intelligence to Washington State University’s work in precision agriculture, we are more than ready for these two grants to help us understand more artificial intelligence applications. The UW will work in the area of complex systems to improve fields like manufacturing, and WSU will work on improvements in farming.”

National Science Foundation - Where Discoveries Begin

July 29, 2021 WASHINGTON –Today, the U.S. National Science Foundation announced the establishment of 11 new NSF National Artificial Intelligence Research Institutes, building on the first round of seven institutes funded in 2020.

“In the tradition of USDA-NIFA investments, these new institutes leverage the scientific power of U.S. land-grant universities informed by close partnership with farmers, producers, educators and innovators to provide sustainable crop production solutions and address these pressing societal challenges,”

“These innovation centers will speed our ability to meet the critical needs in the future agricultural workforce, providing equitable and fair market access, increasing nutrition security and providing tools for climate-smart agriculture.”

The focus of the 11 National AI Institutes are listed below: NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups.Led by the Georgia Institute of Technology (Georgia Tech), the institute, also known as AI-CARING, will seek to create a vibrant, fully developed discipline focused on personalized, longitudinal (over months and years) collaborative AI systems that learn individual models of human behavior and how they change over time and use that knowledge to better collaborate and communicate in caregiving environments.

The collaborative AI Partners in Care developed as part of this institute will help support a growing population of older adults sustain independence, improve quality of life, and increase effectiveness of care coordination across the care network.

The institute will create pathways from high school to undergraduate and graduate education and workforce development training for AI in engineering that will empower a generation of underrepresented students and teachers to join the AI revolution.

The research agenda is accompanied by plans for workforce development and broadening participation at all academic levels, from middle school to advanced research levels, including community outreach efforts to promote AI.

Collaboration over these adaptive networks will help solve long-standing distributed AI challenges making AI more efficient, interactive, and privacy preserving for applications in sectors such as intelligent transportation, remote health care, distributed robotics and smart aerospace.

Bringing together a world-class, multidisciplinary team of scientists, engineers, statisticians, legal scholars and psychologists from seven universities, it will transform the design, operation and service of future systems from mobile devices to networks.

The core motivation for this institute is to integrate physics-based models with AI and machine learning approaches, leading the way towards data-enabled ethical, efficient, and explainable solutions for real-time sensing, prediction, and decision-making challenges across science and engineering.

The institute will serve as a nexus for in-school and out-of-school STEM education innovation, empowering and engaging diverse learners and stakeholders to ensure that AI-driven learning environments are ethically designed to promote equity and inclusion.

Led by the Georgia Research Alliance, this institute, also known as ALOE, will lead the country and the world in the development of novel AI theories and techniques for enhancing the quality of adult online education, making this mode of learning comparable to that of in-person education in STEM disciplines.

Fundamental research in use-inspired AI is grounded in theories of human cognition and learning supported by evidence from large-scale data, evaluated on a large variety of testbeds, and derived from the scientific process of learning engineering.

This approach is enabled by advances in computational theory, AI algorithms, and tools for crop improvement and productionfor resiliency to climate change.In addition,AIIRA will promote the study ofcyber-agriculturalsystemsat the intersection of plant science, agronomics, and AI;power education and workforce developmentthroughformal and informal educational activities,focusingon Native American bidirectional engagement and farmer programs;and drive knowledge transfer through partnerships with industry,producers, andfederal and state agencies.