BRITISH BUSINESS ACADEMYRESEARCH AND TEACHING INTERNATIONAL · UNITED KINGDOMUNITED KINGDOM · SINGAPORE · UNITED ARAB EMIRATES
World art, cultural systems and creative research
Investigate art histories and theories, museums, heritage, performing arts, design, cultural economics, creative industries, digital humanities and the intellectual traditions of artistic scholarship.
Research studies, papers and teaching materials related by their questions and methods. A cross-disciplinary connection does not imply that a study was conducted within every linked sector.
What can different traditions tell us about a flourishing human life without erasing their differences? This joint doctoral study examines happiness, self-realisation and meaning through intercultural philosophical comparison and explores their implications for institutions and everyday practice.
Read the research overviewA joint philosophical and theological dissertation compares ideas of divine attributes and examines their expression in religion, culture and art.
Read the research overviewPlanned studies from the Academy's 80-project agenda. Each detailed page contains a research problem, hypothesis, proposed methods, work packages and sources.
Search this domain's proposals →
What is preserved and lost when local memory becomes searchable digital content?
Can generative systems support minority languages without appropriating them?
How should towns measure the value of creative industries beyond visitor spending?
How do recurring cultural practices influence trust and civic participation?
Does automated personalisation strengthen autonomy or merely reduce friction?
What constitutes responsible action when reliable probability estimates are unavailable?
Which dimensions of a good life resist compression into one composite score?
How should cross-border research teams share recognition and exploitation rights?
How should institutions provide discoverability without exposing confidential underlying files?
What evidence is needed to disclose and verify AI assistance in academic writing?
How should creative businesses structure provenance and compensation when AI is used in production?
How can researchers avoid mistaking executive narratives for verified organisational facts?
When do synthetic datasets support legitimate method development but fail substantive inference?
How should research teams handle consent and jurisdictional differences in data use?
Can qualitative scenarios be transparent enough for independent critique?