Tourism Informatics

I. Artificial Intelligence in Tourism Informatics

Due to the main theme of the conference being Tourism Informatics, the expected papers will cover topics in the field of Tourism sciences, including:

• AI-powered various data collection techniques
• Machine learning techniques that can be used in decision making
• Robot technologies used or usable during tourism operations
• AI-powered simulation studies for tourism decision support systems
• AI for Tourism
• Applications of AI for Tourism Informatics
• Big Data and IOT for Tourism Informatics

II. Artificial Intelligence in Life Sciences

• AI in personalized medicine
• AI for personalized treatment plans
• AI-powered radiology: From X-rays to MRI interpretation
• AI-assisted pathology
• AI applications in genome sequencing and personalized medicine
• Predicting genetic disorders using machine learning models
• AI-driven drug discovery and biomarker identification
• AI-enhanced pharmacovigilance (monitoring drug safety)
• AI for brain-computer interfaces (BCI) and neuroprosthetics
• Understanding human cognition through AI simulations
• AI-designed proteins and enzyme engineering
• AI-driven synthetic biology for medical and agricultural applications
• Computational modeling of biological systems
• Regulatory frameworks for AI applications in medicine and biotechnology

III. Artificial Intelligence in Business Informatics

• Personalized Marketing: AI-driven approaches improve targeted advertising, customer segmentation, and campaign optimization
• Artificial Intelligence in Financial Markets: Opportunities and risks
• AI-powered chatbots for customer support and virtual personal assistants
• Emotion recognition for marketing and human resources
• Disaster prediction systems
• Solution systems in climate change and disasters
• Urban planning, transportation systems, energy consumption, and waste management in cities

IV. Artificial Intelligence in Philosophy

• The ethical and epistemic limits of Artificial Intelligence?
• The Nature of Consciousness: Can AI Ever Be Truly Sentient?
• The Ontology of AI: Is AI a Tool, an Agent, or Something Else?
• Moral Responsibility and AI: Who Is Accountable for AI Decisions?
• AI and the Philosophy of Information: How Does AI Reshape Our Concept of Knowledge?
• AI and Existential Risks: Philosophical Perspectives on Superintelligence
• AI and the Meaning of Intelligence: A Philosophical Analysis of Machine vs. Human Cognition
• AI with examples and methods in cognitive science, philosophy of mind, philosophy of language, epistemology, ethics
• Qualia and Artificial Experience
• Theological Implications of Artificial Souls
• Memory and Identity: Continuity of the Self in Artificial Systems

V. Artificial Intelligence in Humanities, Arts and Social Sciences

• AI and computational applications for the social sciences, economics, and humanities
• AI-Generated Art and Creativity
• AI in Music Composition and Performance
• AI-powered approaches in digital history and cliodynamics
• AI in Cultural Heritage and Digital Humanities
• AI in digitalization, optical character recognition, translation, and language processing of historical documents
• AI-powered social network analysis
• AI and agent-based simulation models for computational social sciences
• AI in Anthropology and Ethnography
• AI and Ethics in Social Sciences

Core Technologies

• Machine & Deep Learning
• Natural Language Processing
• Generative AI & LLMs
• Explainable AI

Industry 5.0 represents the next phase in the evolution of the industrial sector, building upon the technological advancements of Industry 4.0 but shifting the focus towards a more humancentric approach. While Industry 4.0 emphasized digitalization, automation, and efficiency through technologies such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, Industry 5.0 integrates the creativity, innovation, and craftsmanship of humans with the precision, efficiency, and capabilities of smart machines. The goal is to enhance the collaboration between humans and machines, leading to improved productivity, sustainability, and customization, while also addressing social and environmental challenges.

IoT is transforming everyday life and opening up new opportunities for innovation across numerous industries, making it a fundamental element of the digital transformation era. Its future promises even greater integration of the physical and digital worlds, leading to efficiencies, benefits, and capabilities we are just beginning to understand.

Industry 5.0 is not just a technological upgrade but a paradigm shift that seeks to balance productivity with purpose, efficiency with sustainability, and technology with humanity. It represents a vision of the future where technology serves to enhance human capabilities and quality of life, fostering a more resilient, inclusive, and sustainable industrial ecosystem.

Topics of interest include but not limited to:

• Advancements in IoT Technologies
• IoT in Smart Manufacturing
• Cybersecurity Challenges and Solutions
• Human-Centric Approaches in Industry 5.0
• Sustainability and IoT
• Emerging Trends in IoT and Industry 5.0
• IoT Applications Across Industries
• Innovations in IoT Technology
• IoT Security and Privacy
• IoT Data Management and Analytics
• User Experience and Interaction with IoT
• Future Trends in IoT

Advances in information and communication technologies (ICT) in medical tourism facilitate access to quality healthcare services. At the same time, the integration of ICT with medical tourism ensures the continuity of treatment and follow-up for patients returning to their home countries after receiving healthcare services.

The determinants of quality service delivery in medical tourism are socio-cultural, financial, and legal guarantees supported by a scientific and technological infrastructure. Data security, communication, transportation, and logistical support require coordination. As a new field, medical tourism informatics will make a significant contribution to the expansion and diversification of the medical tourism sector and to ensuring patient safety.

• Green Information Systems
• Data-driven policy
• Smart governance models
• Circular digital economy

• Secure infrastructures
• Data privacy compliance
• Risk management strategies
• Secure AI deployment

• Digital strategy
• Innovation management
• Blockchain & Distributed systems
• Digital maturity assessment

• Sentiment mining
• Demand forecasting
• Social network analysis
• Behavioral modeling

Possible subtopics:

• Human–AI collaboration in workplaces
• Trust, reliance, and overreliance on AI systems
• Explainable AI (XAI) and user understanding
• UX/UI design for AI-driven systems
• Human-in-the-loop and augmented decision-making
• Behavioral impacts of AI recommendations
• Cognitive load and interaction design with AI
• Ethics and user perception of AI systems
• Conversational agents, chatbots, and virtual assistants
• AI literacy and user adaptation

• IS architecture and integration
• Decision support systems
• Emerging technologies and implementation
• Societal and organizational impacts of IT