Call for Papers

Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change

Artificial Intelligence (AI) is transforming how we generate, manage, and apply data and knowledge, fueling innovation across industries and societies. As technological advancements accelerate, AI’s role in driving global sustainable change has never been more vital. From optimizing resource use to improving decision-making, AI is shaping a more efficient, data-driven world.

Its impact spans diverse sectors, including climate action, smart urban development, equitable healthcare, and responsible data governance. By aligning AI with ethical principles and sustainability goals, we can harness its potential to tackle global challenges while ensuring long-term societal benefits. However, this progress requires responsible AI development, interdisciplinary collaboration, and strategic policies.

As AI continues to evolve, it is crucial to examine its opportunities, challenges, and implications to ensure that knowledge and innovation drive a sustainable and inclusive future.

This year, GFIC, ICKM, and CIKI join forces to bring together researchers, practitioners, and policymakers from around the world for an insightful, thought-provoking, and timely discussion. We invite you to submit original work exploring AI’s role in shaping the future of data, knowledge, and innovation. This conference serves as a platform for interdisciplinary dialogue on AI’s transformative impact, ethical challenges, and sustainable applications.

Artificial Intelligence (AI) is transforming how we generate, manage, and apply data and knowledge, fueling innovation across industries and societies.

Abstracts Submission Deadline

(Extended Deadline)

01 March

–

15 April

30 April

Notification of Abstracts Acceptance

30 April

Full Papers/Posters Submission Deadline (Pre-Review)

(Extended Deadline)

01 May

–

15 July

31 July

Notification of Full Papers/Posters Acceptance

10 September

Early-bird Registration Deadline

(Extended Deadline)

30 September

05 October

Final Full Papers/Posters Submission Deadline

(Post-Review)

11 September

–

17 October

Final Registration Deadline

31 October

 

All Papers will be published in a Proceedings book indexed in Scopus.

All Abstracts will be made available in a Conference book (proceedings).

During the Conference, the Best Paper and the Best Poster will be elected.

 

Recommended Topics

Researchers, practitioners, and policymakers are invited to submit original insights on how AI shapes the future of data, knowledge, and innovation while fostering ethical and sustainable progress.

AI and Digital Transformation

  • AI & Digital Transformation for Good
  • Digital Transformation for Sustainability Strategies
  • The Role of Digital Transformation in Organizational Knowledge Systems
  • Digital SDGs: The Role of Knowledge & AI
  • AI-Driven Innovation in Knowledge Repositories
  • Digital Twins in Knowledge Management
  • Strategies for Securing Organizational Buy-In for AI and KM Integration
  • KM 5.0: Generative AI & the Future of Knowledge

    Knowledge Management in a Changing World

    • Adapting Knowledge Management for Emerging Markets
    • Artificial Intelligence in Knowledge Management
    • Knowledge Management Tools and Technologies in Business
    • Knowledge Management Challenges in Public Sectors
    • Knowledge Management & Additive Manufacturing
    • Knowledge Sharing & Information Technologies
    • The Role of Knowledge in Security, Peace, & Democracy

    Knowledge Engineering Theory, Systems and Technologies

    • Foundations of Knowledge Representation and Reasoning
    • Ontology Design, Integration, and Evolution
    • Semantic Web and Linked Data
    • Merging Machine Learning with Knowledge-Based Approaches
    • Explainable AI (XAI) in Knowledge Engineering
    • Knowledge Graphs Construction, Management, and Applications
    • Automated Knowledge Acquisition and Integration
    • Emerging Technologies and Future Directions in Knowledge Engineering

    AI, Ethics, and Governance

    • Ethical AI: Emerging Trends & Implications
    • AI Ethics & Governance: Challenges & Best Practices
    • Trust & Ethics in AI-Driven Knowledge Systems
    • Ethical AI in Knowledge Creation and Curation
    • Bias and Fairness in AI-Driven Knowledge Systems
    • Ethical Challenges in Automated Knowledge Discovery
    • Responsible AI for Data Governance and Knowledge Integrity
    • Privacy and Security in AI-Enhanced Knowledge Repositories
    • Ethical Challenges in Data-Driven Organizational Knowledge Management
    • AI, Misinformation, and the Responsibility of Knowledge Managers
    • Knowledge Equity: Ensuring Inclusive and Unbiased AI-Generated Insights
    • AI and Human Expertise: Ethical Boundaries in KM Systems
    • Sustainability and Ethical AI in Data-Driven Knowledge Management

    Data, Innovation, and Sustainability

    • Data, AI, and Regulatory Challenges
    • Leveraging Data & Innovation for Climate Action
    • AI, Data, and Sustainable Energy & Transport
    • Data-Driven Solutions for Water & Sustainability
    • Knowledge, Data, and ESG Strategies
    • Data-Powered Business Model Innovation
    • Blockchain for Securing Knowledge Assets
    • Sustainability & Green Technologies in Knowledge Management
    • Green Innovation & Sustainable KM Transformations
    • Predictive Data Analysis and KM
    • Deep Learning and Data Management
    • Machine Learning and Data Governance Roadmaps

    Intellectual Capital and the Future of Work

    • Intellectual Capital in the Social Economy
    • Intellectual Capital & Organizational Performance
    • Managing Intellectual Capital for Sustainability
    • Intellectual Capital, Knowledge, & UN SDGs
    • New Business Models & Intellectual Capital Management
    • Measuring & Managing Intellectual Capital in the AI Era
    • Intellectual Capital & the Future of Work
    • AI, Human Capital, and Innovation
    • Human Capital vs. Machine Intelligence: Finding Balance
    • Hybrid Innovation: AI & Human Expertise in Synergy
    • Metrics for Human-AI Innovation Impact
    • Workforce Skills Transformation for AI Integration
    • The Impact of Generative AI on Creativity & Innovation

      Innovation Ecosystems and Knowledge Strategies in the Digital Age

      • Digital Platform as a Tool for InnovationEcosystem Development
      • Business Model Innovation Through Knowledge Management in the digital age
      • Knowledge-Driven Business Models
      • Digital Data to Value Though Knowledge Management
      • Co-Creation and Innovation Ecosystems
      • Generative IA in innovation management
      • AI, agency and ecosystems

      Global Knowledge Networks and Society

      • Bridging Cultural Gaps in Global Knowledge Networks
      • Multilingual Knowledge Systems: AI Challenges & Opportunities
      • Innovation & Knowledge for Energy & Sustainability
      • Food Security & Innovation in Knowledge Systems
      • Case Studies on Successful KM Digital Transformations
      • Knowledge for Political Decision-Making
      • AI’s Impact on Data & Knowledge in Business & Society
      • AI, Data, & Predictive Knowledge Systems

      Knowledge Media Theory, Systems and Technologies

      • Cognitive and Semiotic Approaches
      • Epistemology in the Digital Age
      • Multimedia and Multimodal Knowledge Representation
      • Semantic Web, Ontologies, and Knowledge Graphs in Media
      • AI and Machine Learning in Knowledge Media Systems
      • Interface Design for Knowledge Discovery
      • Data Analytics and Evaluation in Knowledge Media
      • Knowledge Media Systems and Educational Technologies
      • Digital Humanities and Cultural Heritage