Call for Papers
Recent advances in Artificial Intelligence (AI) are transforming both scientific discovery and creative artistic practice. From accelerating hypothesis generation and experimentation in the natural sciences to enabling novel forms of artistic expression and human–machine co-creation, AI is increasingly acting as a bridge between analytical rigor and creative exploration.
The AI4Science&Art special track aims to bring together researchers, practitioners, and artists who explore the theoretical foundations, computational methods, and real-world applications of AI in both science and art. We invite contributions that advance AI techniques for scientific discovery, leverage scientific methods to understand creativity, or explore how artistic perspectives can inspire new AI models and scientific insights.
Scope and Objectives
This track seeks to foster interdisciplinary dialogue and collaboration across AI, scientific domains, and the arts. We welcome work that:
- Uses AI to accelerate or augment scientific discovery
- Explores AI-driven creativity, generative art, and computational aesthetics
- Investigates shared methodologies, representations, or evaluation frameworks across science and art
- Examines ethical, philosophical, and societal implications of AI in scientific and artistic contexts
Topics of Interest (include but are not limited to)
AI for Scientific Discovery
- Machine learning for hypothesis generation and knowledge discovery
- AI for scientific simulation, modeling, and experimentation
- Foundation models and large-scale AI for science
- Automated reasoning, causal discovery, and symbolic–neural approaches
- AI applications in physics, chemistry, biology, medicine, climate science, and materials science
AI for Creative Art
- Generative models for visual art, music, literature, and multimedia
- Human–AI co-creation and interactive creative systems
- AI-driven design, architecture, and digital fabrication
- AI tools for artistic analysis, preservation, and restoration
Ethics, Society, and Philosophy
- Responsible AI in science and art
- Authorship, originality, and intellectual property
- Bias, transparency, and trust in AI-generated scientific or artistic outputs
- Cultural and societal impacts of AI-driven discovery and creativity
We warmly invite researchers, practitioners, and artists from diverse backgrounds to contribute and help shape the future of AI-driven scientific discovery and creative art.
Submissions
We welcome submissions from the AI4Science&Art 2026, and also general submissions, using the IEEE template.
Submission Guidelines:
https://www.cloud-conf.net/datasec/2026/ids/submission.html
Important Dates:
- Paper submission: March 10th, 2026
- Notification: March 20th, 2026
- Registration: April 1st, 2026
- Camera Ready: April 1st, 2026
Organization Committee
General Chair
- Xiao-Yang Liu, Columbia University
- Jianlong Wang, Columbia University
- Ming Zhu, University of Chinese Academy of Sciences
Program Chair
- Zhiyuan Wang, Rensselaer Polytechnic Institute / Columbia University
- Jason Chen, University of North Carolina at Chapel Hill
Technical Program Committee
- Christoper Poon, Rensselaer Polytechnic Institute
- Levy Lin, Rensselaer Polytechnic Institute
- Jin Bo, Rensselaer Polytechnic Institute
- Hongbo Wei, Rensselaer Polytechnic Institute
- Thomas Huang, Rensselaer Polytechnic Institute
