The HydroML 2023 symposium will explore how AI/ML concepts can be used to enhance the predictive understanding of complex systems in hydrological and geological sciences. The overarching goal is to discuss process-based scientific principles that can help integrate AI/ML with earth system science. In essence, the symposium seeks to stimulate discussions that will help develop physically guided AI/ML approaches which are explainable, interpretable, and improve the mechanistic understanding of earth system science. It will foster collaborations among researchers who are both new to the field and already involved, thereby strengthening ties within the community of AI/ML researchers.
There are options for In-Person or Virtual attendance; each meeting room will have Zoom capabilities, allowing for audio, video, and screen sharing of materials.
This symposium will be the second in a series, the first being held at Penn State University in May 2022.