Measurement is on my mind. Partly because of the passing of Alan Krueger (credited with having a major influence on the development of empirical research – notably his influential book Myth and Measurement). But also because a couple of weeks ago, I attended an all-day brainstorming meeting on “Methods and Measurement” hosted by Global Poverty Research Lab at Northwestern University and IPA. The workshop covered a range of topics on gaps and innovations in research methods related to measurement, such as: integrating data sources and applying new methods (such as satellite data and machine learning combined with household surveys to get improved yield estimates), untangling socioeconomic complex data (such as mapping social networks), crafting measurement of concepts where we lack consensus (e.g. financial health), and bringing new tech into our survey efforts (using smartphones, physical trackers, etc.).