The activity is part of a small-scale pilot in Digital Humanities and Cultural Heritage Informatics, within implemented within the framework of the AISTER project, exploring how artificial intelligence (AI) tools and human participation can improve the description of cultural heritage collections online, enhancing their accessibility and discoverability.

The pilot includes a crowdsourcing campaign, set up on Europeana’s CrowdHeritage platform. Participants are invited to browse images from the ethnographic collection of the Krovets Online Museum of Traditional Art of Ukraine on Europeana, which includes more than 300 folk art paintings depicting scenes from everyday rural life and religious themes. By reviewing keywords automatically generated with computational methods (natural language processing and computer vision), participants will correct terms, reject inaccurate ones, and add additional keywords by recognising scenes, objects and figures.

The campaign aims to enhance the accessibility and discoverability of Ukrainian ethnographic heritage by improving the quality of descriptive metadata, while contributing to a better understanding in human-in-the-loop approaches to AI-assisted metadata creation in cultural heritage.

The activity will be conducted in English and can be completed online at an individual pace, and in onsite workshops. 

Crowdsourcing campaign duration: mid-March to April 2026.