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Data science is an approach to scientific inquiry that uses computational and mathematical tools to extract knowledge from large volume of data. Its potential for discovery is increasingly recognized by the academic community, as illustrated by the growing number of new degree programs, research centers, initiatives, and departments in the United States. A recent review of websites for 116 research universities revealed that more than 80% included at least one data science offering (Exhibit 1). This report describes the mission, organization, and activities of data science centers, initiatives, and departments at 20 of these universities (Exhibit 2). The initial set of participants to include in the sample was based on the recommendations from the Sloan and Moore Foundations, which sponsored this study and helped launch three of the data science centers.1 The pool of universities was expanded by soliciting suggestions for additional sites from the early participants. Because of this ad hoc sampling strategy, this report is neither representative nor inclusive of all academic efforts in data science, but rather captures a range of models being explored.
Data Science
Data Science
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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