Save the Date: HydroML 2023 Symposium, May 22-24, 2023
Dipankar Dwivedi
We are pleased to announce that Lawrence Berkeley National Laboratory will host the HydroML 2023 Symposium on May 22-24, 2023, to explore machine learning concepts and their use in advancing hydrological science and to discuss potential applications for achieving next-generation scientific goals. This will be the second Symposium in the series of HydroML symposia.
www.hydroml.org
The first HydroML Symposium was held on May 18-20, 2022, at Pennsylvania State University. The HydroML Symposium 2022 attracted many researchers and resulted in several tangible scientific outcomes, including more than two potential high-impact journal articles with several symposium collaborators. With an emphasis on community-building, the HydroML Symposium aims to identify key research challenges in ML applications, including big data machine learning and deep learning, for the earth and environmental sciences.
The HydroML 2023 Symposium proposes to explore AI/ML concepts in depth and discuss how to enhance the predictive understanding of complex systems. The overarching goal is to understand underlying scientific principles that can help seamlessly integrate AI/ML with earth system science in the backdrop of explainable and interpretable AI/ML algorithms. In summary, the outcomes of the Symposium will include the following:
1. A synthesis of physically guided machine learning to achieve explainability, interpretability, and mechanistic understanding and the next stage of evolution;
2. Several collective papers that serve as positional statements on the next-generation AI/ML models in hydrology and biogeochemistry to build confidence and trustworthiness;
3. Technical tutorials of deep learning for two levels of new users: entirely new users and users with moderate experiences; and
4. Community building through hackathons and some benchmarking activities.
We are looking forward to seeing you at HydroML Symposium 2023.
Best regards,
Chairs: Dipankar Dwivedi, Chaopeng Shen,
Senior Advisors: Hoshin Gupta, Carl Steefel, Scott Painter,
Co-Organizers: Alison Appling, Andrew Bennett, Ben Brown, Subit Chakraborty, Aashish Chaudhary, Xingyuan Chen, Uwe Ehret, Jonathan Frame, Luis De la Fuente, Ty Ferre, Jonathan Frame, Martin Gauch, Galen Gorski, Ciaran Harman, Praveen Kumar, Li Li, Dan Lu, Ashok Mishra, Utkarsh Mital, Hernan Moreno, David Moulton, Laura Alvarez Reuda, Tirthankar Roy, Alex Sun, Veda Sunkara, Alexandre Tartakovsky, Charuleka Varadharajan, Yuan-Heng Wang, Reed Helgens, Kathryn Lawson
Geosciences Division
Lawrence Berkeley National Laboratory
1 Cyclotron Road, M.S. 74R316C
Berkeley, CA 94720 USA