Research Challenges in Information Science. RCIS 2026 Forum and Doctoral Consortium

Toulouse, France, May 26–29, 2026, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-3-032-35042-8
Verlag: Springer

Buch, Englisch, 274 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Business Information Processing

This book constitutes the contributions presented at the RCIS 2026 Forum and Doctoral Consortium, held in conjunction with the 20th International Conference on Research Challenges in Information Science, RCIS 2026, which took place in Toulouse, France, during May 2026. 

The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures; and reflective research and practice.

The conference received 8 submissions to the Forum, 11 submissions to the Doctoral Consortium, and 116 submissions to the main track. 

For the RCIS 2026 Forum, a total of 14 papers were accepted (5 from 8 direct submissions to the Forum, and 9 from the submissions to the main track). And for the Doctoral Consortium, 8 papers have been included in these proceedings from a total of 11 submissions. 

Zielgruppe

Research

Autoren/Hrsg.

Bernasconi, Anna

Cortès-Cornax, Mario

de la Vara, Jose Luis

Negre, Elsa

Polacsek, Thomas

Ralyté, Jolita

Ruiz, Marcela

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

.- 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.