In digital humanities (DH) and cultural heritage (CH), visualization-based storytelling (VBS) has become an important approach for structuring, interpreting, and communicating cultural data and research results. The specific characteristics of these domains – historically oriented data, high levels of semantic ambiguity and uncertainty, interpretive rather than purely analytical goals, and deep expertise in narrative theory and practice – create both distinct requirements for VBS design and distinct opportunities that existing frameworks and tools only partially address. Yet the body of work that has emerged in response to these requirements remains scattered across disciplines and venues, with no systematic account of current practice and no consolidated view of open challenges.Against this backdrop, we survey DH and CH work on story designs and VBS tools to identify trends and recurring patterns, promising practices, and open challenges. We contribute by (1) synthesizing storytelling design spaces into a framework tailored to VBS in DH and CH, (2) mapping existing approaches to generate a field-level picture of practices and gaps, and (3) highlighting future areas of concern and inquiry for VBS in relation to domain-specific epistemic questions. Overall, this survey seeks to consolidate an emerging community of practice and offer a shared analytical foundation for future research and design.

We present ``Together about Dementia'', a mobile health app that aims to help persons with dementia when they get lost through the help of caregivers, relatives, and volunteering citizens. When the app detects that a person with dementia is disoriented, wandering, and getting lost, it triggers an alarm that activates a relative and possibly a volunteer in the proximity. A backend system based on a microservice and serverless architecture performs the detection of wandering and the subsequent coordination of users that are put on a mission to the rescue of the person with dementia. The backend system implements an AI technique for spatio-temporal anomaly detection based on location data recorded by the frontend system installed on the portable device of the person with dementia.