AI-Enabled Scientific Discovery Unlocking Dataset Value Service

The U.S. National Science Foundation is seeking an AI-enabled scientific discovery unlocking dataset value service. This program aims to advance scientific community datasets to foster discovery and innovation by leveraging artificial intelligence and other novel methods. The core problem is to increase the value derived from existing scientific datasets, unlocking new AI-driven insights and enabling interdisciplinary research. The scope of work includes applying AI-based capabilities for feature extraction and metadata generation, integrating multiple datasets, and developing robust data pipelines for automated analysis. The agency also requires augmentation and harmonization of existing datasets to improve their usability by AI tools and automated analysis systems. Proposals should address dataset security, integrity, governance, and the process for scientific communities to contribute to datasets. Eligibility is restricted to U.S.-based organizations only. This includes for-profit organizations, non-profit non-academic organizations, other Federal Agencies and Federally Funded Research and Development Centers, State and Local Governments, and Institutions of Higher Education. Performance of the work will be conducted offsite. The agency is looking for proposals and has not specified a budget amount. Key dates for this opportunity are not provided in the source material.