Work under Micro2macro takes the research field well beyond its current frontier in what concerns the compilation of valuable social information, in the form of timely, informative and high quality statistics about the economy, society and population. The current compilation of these statistics faces a number of challenges: timely statistics are hard to collect, costly and are, in some cases, subject to political interference. While high frequency indicators derived from naturally occurring transaction data are increasingly available to policy makers and researchers these are typically non-exhaustive (e.g. indicators of economic activity based on credit card usage), non-compatible with well-defined economic measures (combining for example consumption and investment expenses) and opaque in their construction, in that they are supplied ready-made and packaged by data vendors. As such they are useful proxies but their conceptual status (how they relate to consumption or investment or intermediate input transactions), and hence value to the public remains unclear. Work under Micro2macro goes significantly further than this. Suppose you have access to all transactions, from a household buying coffee, to the coffee maker buying beans and machines, to the coffee bean producer paying its employees. Suppose further that you also have access to all mediums of transactions, from cash settlement, to card, to wire transfers, to cheques, to direct debits. And now suppose you derive ways of usefully organizing, classifying and labelling all such transactions so that they accord to the conceptual framework used by both National Statistical Offices and Economists. Then, what you have is a new way of producing National Accounts, at almost any level of time frequency and any level of disaggregation and detail. Work under Micro2macro delivers just this: a first proof of concept that a new way of deriving socially useful measurement (at potentially a fraction of the cost) is possible by partnering with institutions where this transaction data is naturally generated and held. This work is, to the best of my knowledge completely novel in scope and its implications for societal measurement.