Summary
This international review examines artificial intelligence as a transformative methodological paradigm across scientific research. Drawing on a diverse, multinational author base spanning multiple institutions and research domains, the paper synthesises current AI applications in science and evaluates its capacity to enhance research rigour and accelerate discovery. The work presents a conceptual framework rather than empirical findings, positioning AI as a cross-disciplinary research tool.
UK applicability
The methodological insights regarding AI applications in scientific research are applicable to UK research institutions and funding bodies seeking to integrate AI into research infrastructure. However, the paper's broad scope across multiple disciplines means specific applicability to UK agricultural or food systems research would require discipline-specific interpretation.
Key measures
Qualitative assessment of AI paradigms, methodological frameworks, and disciplinary applications in scientific research
Outcomes reported
The paper synthesises current applications and methodological frameworks of artificial intelligence across scientific disciplines. It evaluates AI's potential to enhance research rigour, accelerate discovery processes, and transform scientific practice more broadly.
Topic tags
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