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December 6, 2018 by Drew Kerkhoff Leave a comment
To address the major environmental issues of the Anthropocene, like global change, sustainability, and biodiversity loss, we have massive amounts of data made available by recent technological advances, including increased computational power, sensor technologies, publicly available software and data, and Internet connectivity . But to weave that jumbled yarn-ball of data into a coherent tapestry of knowledge and wisdom, current (and especially future) scientists need to learn to deal with data on a comple
This sort of data is a different proposition, and it requires that we outfit our students with different skills, computational skills. Not surprisingly, all of the core competencies highlighted in the recent Vision and Change reports from the AAAS are directly related to core computational data science skills (see the figure below). But getting these skills into already crowded biology curricula is really challenging.