Scientific publications

In this section you can find the first results and implementations of the MEMEX project. This section which will be fulfilled and completed as the MEMEX project develops.

Collaborative Digital Storytelling: A Method for Museums to Engage Migrant Communities Around Cultural Heritage Topics

This paper presents an experimental method designed to engage migrant participants with local cultural heritage. The initiative was part of an exploratory field study conducted in the context of the European-funded project MEMEX, a research effort promoting the social wellbeing of communities at risk of exclusion through the narration and collection of stories related to cultural heritage. To engage migrant participants with the topic of cultural heritage, we deployed a two-stage intervention: a five-day photo-challenge, where participants were asked to photograph sites that they felt connected to, and a four-hour co-creation workshop in which they explored the photos they had captured and co-created stories around specific sites, linking them to their memories. This paper reflects on how this process can benefit cultural heritage institutions and capture the heritage of communities at risk of exclusion.

Machine Learning for Cultural Heritage: A Survey

The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved since basic statistical ap- proaches such as Linear Regression to complex Deep Learning models. The question remains how much of this actively improves on the underlying algorithm versus using it within a ‘black box’ setting. We sur- vey across ML and CH literature to identify the theoretical changes which contribute to the algorithm and in turn them suitable for CH applications. Alternatively, and most commonly, when there are no changes, we review the CH applications, features and pre/post-processing which make the algorithm suitable for its use. We analyse the dominant divides within ML, Supervised, Semi-supervised and Unsupervised, and reflect on a variety of algorithms that have been extensively used. From such an analysis, we give a crit- ical look at the use of ML in CH and consider why CH has only limited adoption of ML.

Memex project started in 2019 and will run until 2022.

This project has received funding from the European Union's Horizon 2020research and innovation programme under grant agreement No 870743.

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