Determining the most impactful research can be challenging and useful to such a broad audience. Computer scientists at MIT built a machine learning system - Delphi - Dynamic Early Warning by Learning system, trained on 1.6m papers published in 42 Biotechnology journals between 1982 - 2019. Not without critics - how does a system not perpetuate existing academic bias? - could this help identify foundational and impactful areas of research to collaborate and accelerate?
Image credit - intographics @Pixabay