Data Science Stream: AI, Big Data, and Performance Analytics (DEA)
This Stream brings together researchers and practitioners working at the intersection of Artificial Intelligence (AI), Data Science, Big Data Analytics, and Operational Research (OR). This stream provides a dynamic platform for presenting and debating cutting-edge research that advances methodological, computational, and theoretical developments, as well as innovative real-world applications.
We welcome contributions on topics including, but not limited to:
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AI and machine learning, including deep learning, generative and foundation models, AI applications for business, and trustworthy and explainable AI
- Data-driven and hybrid optimisation, predictive and prescriptive analytics
- Performance measurement and benchmarking, including Data Envelopment Analysis (DEA) and related OR-based efficiency and productivity methods
- Integration of AI with OR models, such as intelligent decision-support systems, automated model building, and AI-enhanced analytics and optimisation
Particular attention will be given to research that bridges data-centric and model-centric approaches, demonstrating how AI and OR together can improve decision-making, system resilience, and efficiency assessment in domains such as healthcare, energy, sustainability, finance, logistics, and transportation.
The stream will feature academic paper sessions, invited talks, keynote presentations, and panel discussions to explore emerging trends, methodological innovations, and future research directions. By fostering interdisciplinary exchange, the stream aims to strengthen the connection between AI, data science, and OR, showcasing how rigorous analytical methodologies can drive both theoretical advancement and practical impact.
Organisers: