data science

Computational ecology, ecoinformatics, reproducible workflows, programming and data science.

Academia has proven slow to adapt best practices and retain many brilliant quantitative scientists. This is bad for science, as prevalent data analyses are often suboptimal, data-driven discoveries remain underdeveloped, and highly-skilled people, …