Convergent Multi-Sector Partners in AI2ES
AI2ES has partners in academia, private industry, federally funded research labs, and government. Each partner and their role is detailed below.
The University of Oklahoma
The University of Oklahoma serves as the lead institution for the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. OU researchers will work on developing novel trustworthy AI methods including a focus on developing physics-based explainable AI, predicting uncertainty, and on improving robustness in the face of adversarial data. AI researchers will work synergistically with meteorology researchers and will test the AI methods on severe weather, including tornadoes, wind, and hail.
Texas A&M UNIVERSITY – CORPUS CHRISTI
As a partner of the institute, the Conrad Blucher Institute at Texas A&M University-Corpus Christi will lead research in Coastal AI and partner with Del Mar College to develop a new innovative Certificate in Artificial Intelligence. AI models will include developing coastal fog and inundation predictions to support commerce and emergency management as well as predictive models to help with the conservation of endangered sea turtles. TAMU-CC will work with institute partners to use explainable AI (XAI) to better understand coastal processes and with local agencies and institute partners to better understand the communication of AI predictions to end users.
Colorado State University
Colorado State University serves as a partner institution for the institute. As such CSU is engaged in the following three activities:
- Explore and expand methods of trustworthy AI for weather and climate applications
- Apply these methods to tropical cyclones and
- Apply these methods to subseasonal-to-seasonal (S2S) prediction of extreme weather events.
North Carolina State University
NC State University serves as a partner institution for the institute. NCSU will lead the efforts in developing Artificial Intelligence (AI) and Machine Learning (ML) innovations and their applications in coastal ocean sciences. The team will combine oceanography with AI and ML to develop better forecasts of ocean currents and eddies, coastal flooding, and water quality hazards such as harmful algal blooms.
University at Albany
As a partner for the institute, the University at Albany will lead research and development for the winter weather use case. UAlbany research will exploit innovative AI-based technologies to better monitor and predict impactful winter weather. Model development will be accompanied by the development of custom-tailored tools that can be utilized for real-time decision-making and emergency management. Through cooperation with NY-based transportation sectors, emphasis will be given to road safety in particular.
Del Mar College
Del Mar College is a comprehensive two-year community college located in Corpus Christi Texas. It has served the Coastal Bend region of South Texas since 1935. The Computer Science, Engineering and Advanced Technology department (CSEAT) will serve as the project liaison between the AI Institute and two-year technical and community colleges nationwide. We are responsible for developing the new innovative Certificate in Artificial Intelligence to be offered by the AI Institute beginning in fall of 2021. This new five-course certificate will be the first in the US for two-year colleges and prepares GIS technicians for applying the power of Artificial Intelligence to geospatial applications, such as coastal wetlands management, hurricane emergency response and other coastal applications. We will partner with Texas A&M University—Corpus Christi (TAMUCC) campus to develop a pipeline of GIS and remote sensing students from high school through Del Mar College and on to the baccalaureate program at TAMUCC. This innovative 2+2+2 (diploma+AAS+BS) program will serve as a model for other universities and colleges as the field of Artificial Intelligence grows nationwide between 2020 and 2030.
University of Washington
The University of Washington serves as co-lead of Risk Communication research with NCAR in the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. Risk Communication research is carried out in close collaboration with teams working on foundational AI research and use-inspired severe weather research, and integrated into the curriculum for the Certificate in Artificial Intelligence.
Private Industry Partners
Private Industry Partner
IBM / The Weather Company
Private Industry Partner
Private Industry Partner
Disaster Tech, a veteran-owned public benefit company, offers data science and decision science technologies for situational awareness, operational coordination, and risk management before, during, and after disasters. Disaster Tech’s goal is to save lives, protect the environment, and build resilient communities by providing the most sophisticated, advanced analytics and distributed high-performance computing platform on the planet. To learn more about our capabilities and career opportunities, visit https://www.disastertech.com/
Private Industry Partner
NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI ― the next era of computing ― with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.
Federally Funded Research Labs and Federal Partners
National Center for Atmospheric Research
Federally funded partner
The National Center for Atmospheric Research, NCAR, is NSF’s largest Federally-Funded Research and Development Center. NCAR provides the atmospheric and related Earth system science community with state-of-the-art resources, including supercomputers, research aircraft, sophisticated computer models, and extensive data sets. As part of this institute, NCAR researchers will develop trustworthy, physically based, and robust explainable AI methods, complete Risk Communication research with key decision makers across the different use cases, and support education and workforce development through trainings, workshops, mentoring, and internships.
National Oceanic and Atmospheric Administration
NOAA is an agency that enriches life through science. Our reach goes from the surface of the sun to the depths of the ocean floor as we work to keep the public informed of the changing environment around them. From daily weather forecasts, severe storm warnings, and climate monitoring to fisheries management, coastal restoration and supporting marine commerce, NOAA’s products and services support economic vitality and affect more than one-third of America’s gross domestic product. NOAA’s dedicated scientists use cutting-edge research and high-tech instrumentation to provide citizens, planners, emergency managers and other decision makers with reliable information they need when they need it.
NOAA will collaborate on the development of physically based, trustworthy AI methods to enhance exploitation of observations, prediction and understanding of a multitude environmental phenomena. We will also make use of NOAA’s testbeds to test the AI methods in conjunction with risk communication researchers and end users.
Horizon Research Inc.
Horizon Research, Inc. (HRI), located in Chapel Hill, NC, specializes in research, evaluation, and technical assistance related to STEM education. HRI serves as the external evaluator for AI2ES. In this role, HRI will provide formative feedback throughout the project and track progress toward project goals.