What will the future of research evaluation look like?
The future of research evaluation is likely to be more data-driven, incorporating AI and machine learning to assess impact.
How will AI change the way we evaluate research?
AI can analyze vast amounts of data quickly, providing insights into research quality, relevance, and societal impact.
What are the potential challenges of using AI in research evaluation?
Challenges include bias in algorithms, data privacy concerns, and the need for transparency in evaluation processes.
Will traditional metrics still be relevant?
Traditional metrics may evolve but will likely remain relevant as part of a broader, more holistic evaluation framework.
How can researchers prepare for these changes?
Researchers can stay informed about AI developments, engage in interdisciplinary collaborations, and adapt their methodologies.
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