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BIR 2026 Call for Papers

Main Theme: Hybrid Intelligence in Business

The 25th International Conference on Perspectives in Business Informatics Research (BIR 2026) invites submissions that explore the theoretical foundations, innovative practices, and socio-technical challenges of Hybrid Intelligence (HI) – the seamless integration of human expertise and Intelligent Information Systems – within business environments.

We seek research that demonstrates impactful contributions to the field by proposing new models, frameworks, architectures, or empirical findings. Submissions should particularly emphasize an innovation mindset, showcasing novel applications and critically examining the new roadmaps required for organizations to thrive in the era of pervasive HI.

Key Areas of Interest (Topics)

We welcome research contributions addressing, but not limited to, the following core tracks, emphasizing the connection between Business Informatics and Hybrid Intelligence:

1. Architectures and Systems for Hybrid Intelligence (HI)

This track focuses on the foundational technologies and engineering principles for building advanced, human-centered systems.

  • Design and Engineering of Socio-Technical Systems: Methods for building reliable and robust systems that integrate human and AI components.
  • Human-Computer Interaction (HCI) in HI: Interfaces and techniques for effective collaboration, communication, and trust between humans and intelligent agents.
  • Augmented Decision Support Systems: Models and tools for leveraging HI to improve strategic, tactical, and operational decision-making.
  • Explainable AI (XAI) in Business Informatics: Approaches for increasing the transparency and interpretability of AI systems to foster human trust and oversight.
  • Process Mining and Task Orchestration: Using HI to analyze, redesign, automate, and optimize complex business processes.
  • Autonomous Robotics and Hybrid Intelligent Systems: Approaches for architecting robot–human systems that blend autonomy, shared control, and joint intelligence.
  • Knowledge Graphs and Semantic Technologies in HI: Modeling, construction, enrichment, and application of Enterprise Knowledge Graphs (EKGs) for contextualizing data, enabling semantic search, and facilitating complex reasoning within Hybrid Intelligence systems.
  • Neurosymbolic AI (NSAI) for Business: Architectures, models, and applications that integrate neural (sub-symbolic) and symbolic reasoning systems to achieve robust, generalized, and explainable intelligence for business challenges, including knowledge injection into deep learning models and hybrid reasoning frameworks.
  • Emerging Technologies and Paradigms: Blockchain, AI, and IoT; Virtual and augmented reality; Cloud and Edge computing; The use of Low code/No code approaches; Technology integration for business informatics.
  • Conceptual Modelling in Hybrid Intelligence (HI): Conceptual modeling; Models for digital business ecosystems, for Digital Twins, for Digital Shadow; Enterprise modeling and architecture; Model-based systems engineering; Business process modeling; Domain-Specific Conceptual Modelling; Modeling in and for requirements engineering; Model validation and evaluation.

2. Ethical, Responsible, and Accountable AI and IS

This track addresses the critical issues of fairness, transparency, and accountability in the design and deployment of intelligent systems.

  • Ethical and Responsible AI Use: AI accountability and governance in digital transformation; AI for fair business decision-making; Explainability, fairness, and transparency in AI (XAI); Generative AI and its ethical role in business innovation; Ethical implications of new technologies in business informatics.
  • Privacy, Security, and Trust: Data quality and integration; Secure and trustful algorithm selection and optimization; Privacy and security in digital transformation; Process optimization and design for responsible business; Privacy, data protection, and ethical compliance in AI-enabled systems; Trust and transparency in AI-enabled systems for responsible business.
  • Governance and Oversight: Accountability and Auditability for human-AI teams; Data Governance and Data Quality; Policy and Regulation.

3. AI-supported data and knowledge management 

This track examines the strategic management of data and knowledge, and the organizational and workforce shifts driven by HI adoption.

  • Data and Knowledge in Organizational Digital Transformation: AI-driven knowledge management systems; Collaborative knowledge-sharing and decision-making; Managing organizational knowledge for sustainable business practices; Knowledge management in business transformation; Data-driven Development and organizational transformation.
  • Workforce Augmentation and Impact: Workforce Augmentation and Future of Work; Measuring and Managing Impact; Scaling and Adoption; Smart systems for enhancing work-life balance.
  • Advanced Data Techniques: Machine learning and deep learning; Web methods and languages; AI model performance and tuning for business; Predictive analytics in business informatics.

4. Alignment, Interoperability, and Openness

This track focuses on connecting different components – systems, business strategy, and knowledge – to achieve holistic value.

  • Responsible Business and Information Systems Alignment: Strategic alignment of business processes and IT systems; Business-IT alignment in responsible digital transformation; Alignment for ERP, CRM, SCM, e-commerce, and e-government systems; Aligning business models and IT systems for ethical outcomes; Human-centered design for business information systems.
  • Theoretical Foundations and Interoperability: Systems theory and principles; Ontological foundations of Business Informatics; Research methods in Business Informatics; Business Informatics body of knowledge; Philosophical and social perspectives on interoperability; Business, people, and systems interoperability; Interdisciplinary and ethical approaches in business information systems analysis.
  • Openness in Business Informatics: Open development and deployment tools; Interoperability of open-source communities; Integrating open-source technology with commercial and proprietary products; Open innovation; Open data; Web and social computing.

5. Smart Systems and Application Areas

This track covers specific emerging system types and domains where Business Informatics research can demonstrate impactful contributions.

  • Smart Systems and Services: Smart systems for transition to a net-zero economy; Smart systems for managing changes in ecosystems; Smart platforms for collaborative and sustainable business transformation; Smart systems for sustainable business practices.
  • Application Areas: Sustainable innovations; Green IT; FinTech; Healthcare; Industry 4.0, Industry 5.0 and Society 5.0; E-Government; Smart applications (smart city, smart home, smart education); Education and learning organizations; Serious games and gamification; Managing environmental impacts; Managing global climate emergency.

Important Dates

Submission of Abstract (strongly recommended): April 19, 2026

Paper submission: May 4, 2026

Review deadline: June 8, 2026

Notification of acceptance: June 15, 2026

Camera-Ready: June 29, 2026

Submission Guidelines

BIR 2026 welcomes original, unpublished contributions that are not simultaneously submitted elsewhere. As in the tradition of the BIR conference, all accepted papers will be published in the Springer LNBIP series. The following paper categories are welcome:

Research papers describing original research contributions (theoretical, methodological, or conceptual). 

Exploratory papers introducing new ideas and directions for research by analyzing the current state of the art, identifying the gaps that need to be addressed, and introducing an approach as a means to bridge them. 

Practice papers discussing problems or challenges that organizations (private or public) face, relate them to the wider domain and provide useful insights to practitioners from similar organizations and contexts.

The page limit for all papers is 14 pages (not counting the references)

General author instructions are available here.

Authors should consult Springer’s authors‘ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form (this will be made available to authors of accepted papers). The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Inclusion in the proceedings volume is conditioned by having at least one author registration per paper, with a prospect of paper being presented during the conference. 

Initial submissions should be made in PDF format using the EasyChair submission page.

BIR proceedings are indexed in Scopus, WoS (optionally), and DBLP.

Extended versions of the best full papers will be invited to be published in the Special Issue on Neuro-Symbolic AI and Domain Specific Conceptual Modelling | Neurosymbolic Artific….

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