AI-Driven Science Funding

Analyze how a funding ecosystem that pairs large-scale computing resources, AI-enabled tooling, and competitive grants influences which scientific projects get supported, how researchers form collaborations, and the long-term capacity of institutions to innovate. Consider governance models that ensure fair access, reproducibility, and responsible deployment of AI in science. Propose metrics to evaluate impact on knowledge creation, training, and global competitiveness, and outline steps for funders, institutions, and industry partners to align incentives with sustainable scientific progress.