Keywords: Photographic Heritage, Deep Learning, Crowdsourcing, Citizen Science
In this paper we will discuss the results of work on Photographic Heritage collections in a series of EU-funded research projects, “Kaleidoscope: the 1950s in Europe”, "Europeana: Century of Change", where digitised collections were contributed to Europeana, and both AI as well as crowdsourcing technologies were used to enrich metadata. In the context of the project CitizenHeritage, we will indicate a roadmap in how this can lead to genuine citizen science.
In pursuit of the many "Visual identities of Europe" in the 20th century, editorials and hybrid virtual/physical exhibitions were curated based on aggregated collections from a wide variety of heritage institutions, allowing to explore new relations between and objects, representations and narratives. We will explain how data aggregation, AI-supported data improvement and crowdsourced data validation contribute to innovative heritage research, involving citizens and stakeholder communities.
We will present the results of these project, which include interesting views on this particular historical period, but also led to a range of physical, virtual and online exhibitions, editorials and MOOCs.