Call for Papers

IMPORTANT DATES

Early-Bird Paper submission deadline: 10 May 2026, with Early-Bird Notification of acceptance by 7 June 2026

Paper submission deadline: 12 July 2026, with notification of acceptance by 1 September 2026

Camera-ready copies due: 1 October 2026

Authors Registration due: 15 September 2026

The Conference

    • Masterclass (limited spaces availability): 12 November 2026
    • Conference Opening: 12 November 2026
    • Main Conference days: 13-14 November 2026
    • Social Events: TBA

 

PUBLICATION

Proceedings will be published with CEUR-WS.org (indexed by DBLP, Scopus, GoogleScholar etc.), and extended versions of selected papers will be published in an international peer-reviewed journal.

 

SUBMISSION PROCEDURE

The MBD conference now invites submission of Full Papers (10-15 pages, single-column style) and Short Papers (5-9 pages, single-column style) reporting completed research. Submissions should be original, not previously submitted, published, and under review to other Conferences or Journals. Following a double-blind peer review process, all submissions will be reviewed based on relevance, originality, importance, and clarity. Submitted papers have to follow the new single-column CEUR-ART formatting style and guidelines. For details on preparing the submission using the CEUR-ART style, see Publishing at CEUR-WS.org. Templates for LaTeX and DOCS format can be downloaded from https://ceur-ws.org/Vol-XXX/CEURART.zip.  The papers must be submitted online via TBA

Authors of accepted submissions will be asked to register for the Conference and present their work in the form of an oral presentation.

 

SCOPE

We welcome submissions addressing (but not limited to) the following thematic areas:

 

Collections as Data and Research Readiness

  • preparing collections for computational and analytical reuse
  • data quality, uncertainty, provenance, and bias
  • documentation as a research output
  • reproducibility and transparency in collection-based research

Open Data, FAIR, and Reuse Beyond Access

  • FAIR implementation in museums and other cultural heritage institutions
  • interoperability across institutions and borders
  • reuse metrics and evidence of research impact
  • licensing, access models, and sustainability

Opening the AI Black Box

  • explainable and trustworthy AI for cultural heritage
  • human-in-the-loop and participatory AI approaches
  • bias, ethics, and governance of algorithmic systems
  • accountability and transparency in AI-driven interpretation

From Infrastructure to Practice

  • research infrastructures and data spaces for cultural heritage
  • integrating local collections into European and global platforms
  • workflows connecting GLAM institutions and researchers
  • long-term sustainability of digital infrastructures

Museums and Open Science

  • museums as research-performing organisations
  • data management plans and open research workflows
  • citizen science and participatory research
  • recognition and evaluation of non-traditional research outputs

Governance, Policy, and Institutional Change

  • organisational strategies for open collections
  • national and European policy frameworks
  • legal and ethical dimensions of openness
  • skills development and institutional transformation

Participation, Communities, and Co-creation

  • engaging researchers, educators, and communities
  • participatory data practices and shared authority
  • crowdsourcing, annotation, and collaborative knowledge production
  • inclusivity, representation, and social responsibility

Case Studies, Lessons Learned and any other relevant topics

  • successful and unsuccessful implementations
  • cross-institutional and cross-border collaborations
  • Widening and non-Widening perspectives
  • practical insights from real-world projects