Online Session 1: Datathon
Opportunities: Global circulation of collections and exhibitions in immersive environments
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Datathon: Mapping potential appeal of heritage collections:From API to geo-visualization
Date: 26th of January 2022 (Wednesday)
Time: London 8:00 AM - 10:00 AM | Singapore 4:00 PM - 6:00 PM | Melbourne 7:00 PM - 9:00 PM
Cultural Analytics Lab uses data science methods to analyze contemporary global culture, while critically interrogating these methods from the perspectives of humanities and media theory. It employs digital methods for seeing culture at its new scale and velocity. It combines data visualization, design, machine learning, and statistics with concepts from humanities, social sciences, and media studies.
Interactive Talk and Demo of Data To Power
The demo will present the Collection Mapping Layer of Data To Power prototype, designed by aggregating API data from the V&A Museum and the National Museum of Australia. It will explain the research framework and methodology used in the development of the layer and also share insights from the process of data aggregation and analysis. It will demonstrate the key capabilities of the software prototype to geo-visualize museum collections data to explore their potential appeal in different countries around the world.
Lead Project Investigator
LASALLE College of the Arts
Interactive Evaluations Panel
The panel will solicit critical feedback from the V&A Museum and the National Museum of Australia representatives as well as from participants from other museums in the UK, Australia and Singapore. It will create a dialogical space to reflect on the proposed solution’s design, usability, drawbacks and implications for museum collection management practices.
Senior Curator, Digital Innovation & Strategy at the National Museum of Australia
Collections Editor at Europeana
Head of Digital Media at V&A
The forum will run interactive evaluations by palling online audiences on the DataToPower app’s user-friendliness, quality of mapping and potential implications for museums’ collections management and analysis. It will open a discussion space with wider audiences to explore the potentials of mapping and data visualization technologies to translate museum collections data into meaningful narratives and insights.