Analysis of Interdisciplinary Research Trends in the Field of Artificial Intelligence in EI Conferences 

Chen ang Zhang

Qingdao City University，Shandong，Qingdao,266106; 

Abstract: In recent years, interdisciplinary research on artificial intelligence (AI) has increasingly emerged as one of the most prominent topics in EI conferences. By deeply integrating AI with various disciplines such as medicine, materials science, sociology, ecology, and beyond, AI not only facilitates technological advancements within these fields but also offers novel perspectives and methods for addressing complex global challenges. Interdisciplinary research leverages synergistic effects to enhance the practical application of AI technologies, demonstrating particularly significant potential in domains such as healthcare, climate change mitigation, and urban planning. However, despite the promising advancements, several challenges remain in the research process. These include underdeveloped mechanisms for interdisciplinary collaboration, relatively low rates of research translation into practical outcomes, insufficient allocation of resources, and a lack of robust policy support. To address these issues, this paper proposes several optimization strategies, such as fostering the development of collaboration platforms across disciplines, accelerating the translation of scientific research into practical applications, and improving the allocation of resources and policy frameworks. Through these measures, the depth of interdisciplinary AI research can be further enhanced, thereby increasing its value and effectiveness in solving real-world problems.

Keywords:Artificial intelligence; interdisciplinary research; EI conference; collaboration mechanism 

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