The United States needs reliable, timely, and trustworthy statistics about its economic performance. Beginning with its role in the development of GDP by Simon Kuznets, the National Bureau of Economic Research has been helping answer this need for over a century. Since 2024, the Sloan Foundation has been helping NBER plan launch and incubate a new Economic Measurement Research Institute. The current grant is another step in that process. Former Treasury official Karen Dynan of Harvard will organize a series of research workshops for experts from government, academia, industry, along with other potential funders. These workshops will address stress points in the current production of economic measures, including data gaps caused by declining survey response rates. They will also explore how alternative data sources from the private-sector or from state and local governments could be put to better use. A key example is the Sloan-supported project called RESET (Re-Engineering Statistics using Economic Transactions), which will receive funding for further work on how machine learning can facilitate hedonic price adjustments when calculating inflation and consumption indicators.