Call for papers: Special Issue on 'AI-Driven Interdisciplinary Integration and Innovation'

2025-05-30

Special Context

The accelerating advancement of Artificial Intelligence (AI) is fundamentally reshaping how knowledge is generated, integrated, and applied across disciplines. As global challenges grow in complexity—from climate resilience and healthcare to autonomous systems and smart infrastructure—the need for interdisciplinary approaches is no longer optional. AI stands at the core of this transformation, enabling the convergence of scientific, engineering, social, and computational domains into cohesive, innovative systems.

 

This Special Issue focuses on AI-Driven Interdisciplinary Integration and Innovation, highlighting how AI catalyzes novel research paradigms through the fusion of traditionally siloed disciplines. By leveraging machine learning, neural networks, natural language processing, reinforcement learning, and symbolic reasoning, researchers are now embedding intelligence directly into diverse domains such as medicine, materials science, environmental monitoring, economics, and design.

 

A central goal of this issue is to showcase how AI facilitates not just technical advancement, but also epistemological shifts—redefining how problems are framed, how data is interpreted, and how knowledge is synthesized across fields. We are particularly interested in works that demonstrate practical implementations, theoretical frameworks, and system architectures that make interdisciplinary AI integration both scalable and sustainable.

Guest Editors

Dr. Zongwen Fan, Huaqiao University, China

Dr. Javad Hassannataj Joloudari, Islamic Azad University, Iran

Dr. Ali Abbaszadeh Sori, Islamic Azad University, Iran

Dr. Danial Sharifrazi,  Deakin University, Australia

Dr. Namal Rathnayake, Marine-Earth System Analytics Unit, Yokohama Institute for Earth Sciences (YES), Jamstec, Japan

 

Submission Guidelines

Manuscript type: Original research article, review, commentary, case study, etc.

How to Submit:

(1) Online Submission: https://ojs.piscomed.com/index.php/AII/about/submissions 

(2) Submission via Email: editorial-aii@piscomed.com

Deadline: June 30, 2026

Peer review: double-blind review

 

Scopes including but not limited to::

  • AI-enabled frameworks for interdisciplinary research and applications
  • Human–AI collaboration in scientific discovery
  • AI in socio-technical systems, ethics, and policy integration
  • Cross-domain data fusion and modeling techniques
  • Interoperability and knowledge representation in AI systems
  • Domain-specific applications of AI in healthcare, climate science, energy, and beyond
  • Challenges in validation, trust, and transparency across disciplines
  • Emerging methodologies for AI-supported innovation ecosystems

 

We welcome contributions that provide insights into how AI can act not only as a tool, but as a transformative medium for interdisciplinary knowledge creation and application.