AI-based tools can accelerate reviews of scientific literature, identify research questions, assist in data processing, and predict innovative drug compounds, but human expertise remains crucial in research projects.
Algorithmic management in scientific research focuses on AI acting as a 'manager' to enhance the scope and efficiency of projects, not as a replacement for human scientists.
The authors found that AI, as a 'manager,' can improve productivity in research projects by addressing key managerial challenges such as task division, direction, coordination, motivation, and supporting learning.
Artificial intelligence has reached a point where it can significantly enhance scientific research projects by managing them efficiently at a large scale, according to Maximilian Koehler of ESMT Berlin.
#ai-in-research-management #algorithmic-management #scientific-research-efficiency #future-of-work #research-project-productivity
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