Research Challenges in Information Science. RCIS 2026 Forum and Doctoral Consortium
.- Forum.
.- Data Chameleon: Biological-Inspired Contextual Privacy for Automated Compliance Evaluation in Trustworthy Data Sharing.
.- Towards an IoT Plan for Smart Buildings: Lessons from a Real-World Construction Project.
.- When Fake News Sounds Right: Assessing Message Credibility in AI-Generated Misinformation.
.- From Data Governance Policies to Policy-as-Code: An LLM-based Framework.
.- MAPS-AI a Model-Driven AI-Assisted Tool for IT Project Plan and Scope: Case Study and Evaluation.
.- Low-Code Platforms Adoption : A Motivational Adoption Process Perspective.
.- Quantifying ICT Third-party Concentration Risk Using DORA Reporting Data.
.- Probabilistic Dempster–Shafer Fusion for Multimodal Breast Cancer Analysis.
.- Adoption of AI-Based Recruitment Systems: Benefits, Challenges, and User Trust.
.- Querying Structured Data Through Natural Language Using Language Models.
.- Towards a Meta-Model for Complex Performance Indicators: a Systematic Literature Review and an Illustration in the Cardiology Domain.
.- Mapping Capabilities with LLMs: Requirements and Feasibility Assessment of Capability Broker.
.- Insights from Triage Processes for Fairness-Aware Process Redesign.
.- Can we typify health information seekers? Identification of personas among laypeople.
.- Doctoral Consortium.
.- Toward Hybrid Agile Teams: Enhancing collaboration in agile projects by exploring traditional and AI-based tools for process optimization and best practices.
.- Towards a conceptual model for evaluating prospective scenarios - A case study in future air transport.
.- A Bounded-Autonomy Multi-Agent Architecture for Policy-Constrained Data Governance.
.- Assessing Occupational Physical Workload Using IoT and Human Activity Recognition.
.- Cyber Resilience by Design for Critical-Infrastructure Information Systems: A Three-Phase Framework for Systemic Risk Assessment, Management, and Recovery.
.- DIAPROD: A Framework for Formal Consent Modelling, Dynamic Storage Limitation, Data Minimisation, and LLM-Assisted
Compliance for Data Protection by Design.
.- Combining large language models with named entity recognition to automate market research interview transcription and customer journey mapping – empirical feedback by business professionals.
.- Towards a Knowledge Graph-based and LLM-assisted Support System for University Curriculum Engineering.
