To develop and validate new methods of using natural language processing to study how scientific publications inform patentable innovations

To support graduate student presentations at the International Industrial Organization Conference

To fund student scholarships for participation in a conference on the economic implications of mechanism design and other market-based organizational innovations

To support a workshop on improving rigor, reproducibility, and transparency in science

To develop a shared vision and approach for a collaboration between NASEM, OECD and IAP to understand the impact of AI on work by assessing AI and robotics capabilities

To develop measurement tools for assessing public attitudes toward potential privacy protection techniques

To support the work of a Committee for the Study of Digital Platforms in preparation for an international conference on antitrust and competition research

To enhance the transparency, reproducibility, and replicability of empirical research in the social sciences by simplifying how authors can, when submitting a paper to a journal, also provide structured metadata about the provenance and archiving of code, data, and other supplementary materials

To design, vet, and launch plans for federal agencies and private data holders to cooperate on improving federal economic statistics

To pilot the acquisition, ingestion, and standardization processes necessary to compile a national voter registration database for use by academics and officials conducting non-partisan research