
The Environmental Data Science Innovation & Impact Lab (ESIIL) Education Program, funded by NSF, is an annual program that builds environmental data science skills and trains the next generation of data-capable workers. The ESIIL Education Program consists of the ESIIL Stars Program and ESIIL Data Short Course, the latter is the focus of this evaluation report. The ESIIL Data Short Course teaches environmental data science (EDS) beginners from all career stages, a suite of in-demand core data and analytics skills while building EDS career awareness. The Short Course adapts the Earth Data Analytics - Foundations Professional Certificate Earth Analytics Data Science Bootcamp course at CU Boulder and is offered each year. It is available for anyone to participate but is designed for faculty who teach courses that could incorporate environmental 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 |
