Scientists and engineers in diverse application domains are increasingly relying on using computational and artificial intelligence (AI) tools to accelerate scientific discovery and engineering design. AI, machine learning, and reasoning algorithms are useful in building models and decision-making towards this goal. We have already seen several success stories of AI in applications such as materials discovery, ecology, wildlife conservation, and molecule design optimization. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals:

1. Identify and understand the challenges in applying AI to specific science and engineering problems.
2. Develop, adapt, and refine AI tools for novel problem settings and challenges.
3. Community-building and education to encourage collaboration between AI researchers and domain area experts.

This year’s theme is AI for agricultural and forestry sciences. Our invited speakers, who are working on important problems at the intersection of AI and domain sciences, include: