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Ensemble@Yale, inspired by the original Ensemble project from NYPL Labs, is an experiment that aims to transform historic programs from Yale’s archives into searchable text through crowdsourced transcription. Rather than reproducing all of the words in a digitized document, as with optical character recognition (OCR), crowdsourced transcription relies on human judgment to pull out features of interest to scholars and create structured data.