Highlighting Sustainability Development Goals Associations with Cultural Heritage Institutions: Innovative Visual Representations of GLAMs to Attract and Inform Visitors

Abstract

The GREENGLAM project (www.greenglam.at) is an Austrian funded research project examining how the associations that exist between the SDGs (Sustainability Development Goals) and GLAMs (the institutions, their exhibitions and collections) can be communicated visually to the public and to the GLAMs themselves. Associations are extracted by Web mining (e.g. mentions in the news). Being more aware of how they connect to the SDGs, GLAMs can do more to promote this aspect to the public and the public becomes more aware of how cultural heritage contributes to SDG awareness. In a focus group format, we will present to attendees two visual forms of communicating SDGs associations with GLAMs, soliciting feedback on best approaches, visual language and preferred representations. For the public, Virtual Data Sculptures will be 3D interactive virtual structures accessible via AR placed at the GLAM location. For the GLAMs, a Web based dashboard will use 2D data visualisations to explore recent SDG associations, linked with guided public communication via a text editor. In both cases, concepts and implementations will be presented as well as short personal testing opportunities of the digital tools. Our goal is to learn how GLAMs prefer to be represented visually that most effectively promote themes of climate and sustainability, how technology can connect visitors with their collections, and what opportunities can exist (in combination with collection metadata, open cultural heritage data, etc.) to deepen the extracted associations and their visualisations in the context of the ever more inclusive museum.

Presenters

Lyndon Nixon
Project Coordinator, Applied Data Science, MODUL University Vienna, Austria

Details

Presentation Type

Workshop Presentation

Theme

Representations

KEYWORDS

GLAMs, Web, SDGs, Augmented Reality, Discovery, Association, Visual Representation, Infoviz