As a community of scientists, we aim to create better data, methods, and models that enable us as a society to better take care of our planet and the limited resources on it. However, machine learning is increasingly disconnected from large scale societal issues. We aim to build a bridge to the largest problem facing us today — climate change.
The BAIR Climate Initiative unites AI and climate-related researchers to iteratively create, maintain, and evaluate meaningful benchmarks that bridge these communities.
BCI collaborations follow an iterative process:
- Ideate: Form a diverse group of domain experts
- Connect: Experts ground how improvements on the benchmark translate into impact on real world problems.
- Progress: Collaborators research, share, and publish advances on the established benchmarks.
- Revisit: Establish criteria and schedule to update and assess benchmarks.