AI-enhanced analysis of video data investigating cultural interventions in public space

Project Details


This research seeks to investigate the potential for AI video recognition software to improve the efficiency and accuracy of time-lapse data analysis of cultural interventions in public space and festivalised environments.

Layman's description

In this RIF funded research I use existing AI platforms to analyse large datasets of video footage taken at outdoor arts festivals and focusing on audience behaviours such as proximity and stay-length as well as making counts of audience engagements with performances. This research fills a knowledge gap in the industry and arts funding ecology and has significance for informing policy and how outdoor performances are planned and created.
Short titleVideo AI
Effective start/end date1/02/2231/08/25

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities

Research Institutes

  • Institute for Creative Enterprise

Research Centres

  • Centre for Social Responsibility

Research Groups

  • Practice Research Group


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.