[Archport] CAA 2026, Vienna: Chamada para apresentações e posters

[Vera Moitinho <veramoitinho@gmail.com>]

CAA 2026

53rd International Conference on Computer Applications and Quantitative Methods in Archaeology

31 March – 4 April 2026, Vienna

Dear colleagues,

We are pleased to invite you to contribute to our session S20: Digital Archaeological Collections as AI Training Data.
Call for papers and posters (abstracts): https://2026.caaconference.org/call-for-papers-and-posters/
Full list of sessions (scroll down to S20 for more info): https://2026.caaconference.org/conference-sessions/
Deadline: 26 October 2025

The session will explore the multifaceted role of digital archaeological collections as training data for artificial intelligence (AI), highlighting both the opportunities and challenges that emerge when cultural heritage datasets are reused for computational purposes. We welcome contributions addressing methodological, technical, ethical, and social perspectives, as well as case studies that showcase the potential of AI in archaeology. Topics may include, but are not limited to:
- Case studies demonstrating the use of AI in archaeological collections;
- Producing and exploring currently openly available (small to large) archaeological benchmark datasets to test AI models;
- Current good practices and guidelines for preparing data files for AI training;
- Preparing, structuring, and curating archaeological datasets for AI training in compliance with Open Science, FAIR, CARE, and/or TADA data principles;
- Limits and problems linked to the creation and/or use of comparative digital collections for AI applications;
- Technical and ethical challenges of bias, representation, and generalization in AI models trained on archaeological data;
- Collaborative efforts and contributions to open, federated data infrastructures and training resources for AI in archaeology.

We particularly encourage submissions that critically reflect on how archaeological datasets can be mobilised for AI while remaining transparent, reproducible, ethically grounded, and culturally sensitive.

Feel free to disseminate this session!

Cheers,
Vera Moitinho de Almeida (University of Porto & INESCC)
Nevio Dubbini (University of Pisa)
Aurore Mathys (Royal Museum for Central Africa & University of Liège)
Gabriele Gattiglia (University of Pisa)

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Dr Vera Moitinho de Almeida
Coordinator @CODA

Senior Researcher @CODA, CITCEM, INESCC

http://orcid.org/0000-0003-4979-8247
https://www.researchgate.net/profile/Vera-Moitinho

MAIA - Managing Artificial Intelligence in Archaeology

CODA - Centre for Digital Culture and Innovation
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