Climate change, particularly the exacerbation of extreme events, is among the most pressing challenges facing humanity and the scientific community. Effectively addressing climate change requires rapid advances around 1) improving prediction capabilities and understanding of climate physics, 2) developing quantitative models for climate change’s socioeconomic impacts, and 3) creating new climate adaptation and mitigation strategies.
The AI for Climate Initiative (AICE) combines the staggering innovations in AI and rapid increase of data availability with fundamental domain knowledge to significantly advance (1)–(3) in a highly synergistic and interdisciplinary fashion. Close collaboration between different disciplines, e.g., climate science, computer science, economics, math, physics, public health, social science, and statistics, is essential to innovate or properly adapt AI methods for developing novel tools, such as physics-informed predictive models, and trustworthy datasets for training or analysis.
