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Large-scale digital data and emerging computational methods could allow us to refigure these positions, turning qualitative artifacts into quantitative patterns into qualitative insights across many scales, heralding a new era of theory development, engagement, and relevance for scientists, policy-makers, and society. <\/jats:p>","DOI":"10.1162\/qss_a_00056","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T11:36:45Z","timestamp":1593430605000},"page":"930-944","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":24,"title":["Against method: Exploding the boundary between qualitative and quantitative studies of science"],"prefix":"10.1162","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6241-8910","authenticated-orcid":true,"given":"Donghyun","family":"Kang","sequence":"first","affiliation":[{"name":"Sociology Department, University of Chicago"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9838-0707","authenticated-orcid":true,"given":"James","family":"Evans","sequence":"additional","affiliation":[{"name":"Sociology Department, University of Chicago"},{"name":"Santa Fe Institute"}]}],"member":"281","reference":[{"key":"bib1","author":"Ahn Y. 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