To create an AI tool capable of automatically interpreting and providing feedback to enhance the design and readability of scientific plots

To develop a Large Language Model-based reviewer for code submitted for academic peer review

To develop AI matching algorithms to support scientific collaboration

To develop comprehensive and timely measurements of the dynamics, outcomes, and broader socio-economic impacts of programs for promoting regional innovation and prosperity

To partially support the 2024 DISC Unconference

To support the examination of analogical case studies to understand the development of advanced nuclear energy technologies

To enhance the integration of contemporary energy economics research in training provided by the Institute for Regulatory Law & Economics (IRLE) to state public utility commission practitioners

To sustain the development and provision of patent datasets that facilitate research by economists on the innovation process

To design, test, and promulgate standards for disclosing and auditing the management practices of companies that produce artificial intelligence systems

To undertake a series of outreach and training activities that engage early career researchers in energy system decarbonization modeling