Human-AI Collaboration for Real-World Decision-Making : 4th Decision Science Alliance International Summer Conference, DSA ISC 2026, Madrid, Spain, June 18-19, 2026, Proceedings.DE (Lecture Notes in Computer Science)

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Human-AI Collaboration for Real-World Decision-Making : 4th Decision Science Alliance International Summer Conference, DSA ISC 2026, Madrid, Spain, June 18-19, 2026, Proceedings.DE (Lecture Notes in Computer Science)

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Description

This book constitutes the proceedings of the Second Decision Science Alliance International Summer Conference, DSA ISC 2026, held in , Madrid, Spain, June 18-19, 2026, Proceedings.

The 43 full papers and 6 short papers were included in this book were carefully reviewed and selected from 70 submissions. the volume mainly focus on the topical section as Business Analytics & Artificial Intelligence,Robotics, Logistics, Supply Chain & Operations Management,Healthcare Systems, Hospitals & Digital Health, Manufacturing, Production & Industry 4.0, Finance, Banking, Insurance & FinTech,Smart Cities, Communities & Urban Innovation,Energy, Mobility, Transportation & Sustainability,Marketing, Strategy & Business Innovation,Life Science, Sports & Human Performance.

.- Business Analytics & Artificial Intelligence

.- Operationalizing Human-AI Collaboration for High-Volume Project Risk Management.
.- GNN Mixture-of-Experts for Segment-Level Travel Time Prediction in Last-Mile Delivery.
.- From Planning to Agents: How Robust Are LLM-Generated Heuristics?.
.- Exploring the Rankine Vortex Dynamics Using 2D Cellular Automata and Computational Fluid Dynamics.
.- Evaluating the Performance of Oscillator Networks with a Comprehensive Suite of Synchronization Metrics.
.- Interactive online tourist itinerary recommender with dynamic optimisation.
.- A Mixed Integer Linear Programming Approach for Cost-Optimal Heterogeneous Network Planning.
.- A Gender Lens on a Transport Application in Business Analytics and Operations Research.
.- A Context-Enriched Capacitated Vehicle Routing Framework: Integrating Optimization, Geospatial Intelligence, and Administrative Analytics.
.- AI-Based Optimization for Facility Location under Changing Capacity Conditions.
.- Incorporating AI in Ecosystems Governance: Archetypes and Implementation Framework.

.- Robotics

.- EBuddy: a workflow orchestrator for industrial human machine collaboration.
.- Graph-Based Retrieval-Augmented Planning for Robots with Provenance-Aware Knowledge.

.- Logistics, Supply Chain & Operations Management

.- Modeling and Linearization Analysis of a Total Energy MINLP for Single-Truck, Multiple-Drone Last-Mile Delivery.
.- Solving a routing problem without a routing algorithm: a case study in food distribution.
.- A local-search-enhanced iterated greedy algorithm for the rank pricing problem with ties.
.- From documentation to process-centric decision-making: Deploying the Pipes and Puddles framework on the graphic arts shop floor of a supported employment center.
.- Solving routing problems with multiple drones with interceptions.
.- Interpretable AI for Human-Centered Warehouse Picking Segmentation.
.- Large Language Model Based Entity Relation Mapping for Supply Chain Visibility.
.- GREENET: A Simulation-Optimization Decision-Support Framework for Wireless Access Point Localization.
.- Towards Planners Segmentation in Real World Vehicle Routing Problems.

.- Healthcare Systems, Hospitals & Digital Health

.- Multimodal Digital Decision Support in Multiple Sclerosis: Integrating Remote Gait Monitoring and Mobile Cognitive Assessment for Ecologically Valid Disease Tracking.
.- A decision-support-Oriented Ecosystem Business Model Framework for digital Product Service Systems.
.- Recent AI Approaches for Oncological Disease Diagnosis: An Overview and Emerging Future Directions.
.- Tag Extraction from Medical Histories Through LLMs.
.- Machine Learning Driven Bi-Objective Optimization of Heterologous and Homologous COVID-19 Vaccine Distribution Network.
.- Reducing Biological Uncertainty in Preventive Oncology: A Bayesian Decision Framework Integrating Dynamic Metabolic Profiling (DMA-PPOP).

.- Manufacturing, Production & Industry 4.0

.- AHP-Driven Supplier Selection with an application to the Automotive Industry.
.- Human-LLM Collaborative Decision-Making for Manufacturing Disruption Management in Industry 5.0.
.- Framework for defining future research lines on sustainability-driven AI in the construction sector.
.- AI multi-agent system conceptual framework for autonomous decision-making in the manufacturing industry.
.- Human-Centric Decision Support for Smart Factories: A Multimodal Approach to Human-Machine Interaction.
.- An Ontology for Manufacturing Operations as a Service.

.- Finance, Banking, Insurance & FinTech

.- Using High-Resolution Modeling to Reduce Basis Risk in Tropical Cyclone Parametric Risk Transfer Structures: A Case


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