Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)
Funds making existing scientific datasets usable by AI — $100 million across 50 awards, and companies can apply.
Science has accumulated enormous datasets that AI cannot easily use, because they were built for a different purpose and a human reader. This programme pays to change that.
Three kinds of work are named. Applying AI to feature extraction, metadata generation and the integration of several datasets into one. Building robust data pipelines so existing datasets can be analysed automatically by AI to…
Increasing the value of existing scientific datasets for AI-driven discovery — AI-based feature extraction and metadata generation, integration of multiple datasets, robust pipelines for automated analysis, and augmenting or harmonising data so AI systems can use it. Dataset security, integrity and community governance must be addressed.
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Guides for this application
All guides →NSF Biosketch Guide: SciENcv, Format, and Examples
Learn how the NSF biosketch works, what SciENcv is used for, how it differs from current and pending support, and what startup teams should prepare.
DocumentsNSF Data Management Plan Example and Writing Guide
Learn how to write an NSF data management plan, what the plan should include, how it differs from NIH data sharing plans, and how startup applicants should handle data.
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