Call for Papers: Data Science Stream at OR68
We would like to invite you to submit an abstract to the Data Science Stream: AI, Big Data, and Performance Analytics (Data Envelopment Analysis – DEA) at OR68 – The OR Society Annual Conference 2026, taking place on 8–10 September 2026 at the University of Nottingham, UK.
This stream brings together researchers and practitioners working at the intersection of AI, machine learning, big data analytics, optimisation, and performance measurement (including DEA), with an emphasis on methodological advances and impactful real-world applications.
Abstract submission: [CLICK HERE]
About OR68: [CLICK HERE]
We welcome contributions on topics including, but not limited to:
- AI and machine learning, including deep learning, generative and foundation models
- AI applications for business and market implications, including adoption, governance, competitive strategy, 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 analysis
- 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.
The stream is organised by:
- Dr Ali Emrouznejad, Professor and Director of the Centre for Business Analytics in Practice, Surrey Business School, University of Surrey
- Dr Mahdi Tavalaei, Senior Lecturer in Strategy and Digital, Surrey Business School, University of Surrey
We warmly welcome contributions from academia and industry that advance OR theory or practice.
Abstract submission: [CLICK HERE]
About OR68: [CLICK HERE]
We would be delighted to see your work featured in the stream.
Best regards,
Ali Emrouznejad & Mahdi Tavalaei
