Artificial Intelligence, Research & Society
A cross-disciplinary collection direction connecting responsible AI, research practice, health, law and society.
Explore →Collections
Knowledge organised around questions that cross boundaries.
BMU Collections can connect scholarship, practical resources, learning and innovation around themes that matter across disciplines.
Curated around themes, not organisational silos.
BMU Collections are designed to connect journal content, insights, educational resources, tools and projects around a shared topic. A collection should only be presented as active once it contains real curated material.
Collection directions
Future of Scholarly Publishing
Open knowledge, peer review, integrity, publishing technology, metadata and evolving editorial practice.
Explore →Health & Rehabilitation Innovation
Clinical evidence, rehabilitation, precision health, digital health and applied innovation.
Explore →Law, Policy & Emerging Technology
Legal scholarship, governance, AI, digital systems and their societal implications.
Explore →What a BMU Collection can contain
Research
Relevant articles from BMU journals or clearly attributed external scholarly sources where appropriate.
Insights
Editorial explainers, commentary and institutional perspectives.
Learning
Workshops, guides or educational resources connected to the theme.
Tools & projects
Practical utilities, datasets, technology projects or collaboration outputs where available.
Propose or partner on a collection
Universities, researchers, professional communities and organisations may discuss a thematic collaboration with BMU. Editorial collections connected to a journal remain subject to that journal’s independent editorial policies.
Discuss a collection