This project is part of theme 1 that is focused on capacity building to support advanced data science and AI techniques for data visualization, interpretation, manipulation and communication. Immersive Analytics (IA), as both a data exploration and insight communication paradigm, develops techniques for helping users interpret large and/or complex information in immersive environments. The objectives of this research project are to apply Artificial Intelligence-enhanced IA to Hawaiʻi climate data, create standard tools for data science and science communication, facilitate tangible user interaction and automate distillation of critical literature for scientists and non-scientist stakeholders.
The team’s submission (Leigh, J., Belcaid, M., Theriot, R., Kirshenbaum, N., Tabalba, R., Rogers, M., Yu, A., Takebayashi, T., Moralez Peres, E., Noe, K., “Visualization for Island Climate Resilience”, Workshop on High-Impact Techniques for Visual Climate Science Communication, IEEEVis 2022) to a NASA workshop on climate communication at IEEE Visualization was recently accepted. This submission features the SAGE3 (Smart Amplified Group Environment) middleware for enabling AI-enhanced data and visualization-rich collaboration.
Meet the Team
Co-PI, Data Science Lead
Co-PI, Climate Science Lead