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1. Programme

   The Liverpool Centre for Advanced Policing Studies will host a conference on the topic of police education on Wednesday 21 and Thursday 22 June 2023.

2. Research within the School of Engineering

   The School of Engineering conduct a range of research. Discover more about the expertise within the School.

3. Next steps - Priorities for deepening and broadening

   We identified that our priorities for development involve consolidating some areas, promoting some SDGs which are not typically present in our work, and influencing wider strategy within the institution. Our final goal is about embedding PRME into our strategic management practices.

4. Race Equality Charter Survey Privacy Statement

   Find more information about the Race Equality Charter Survey and your privacy.

5. Ethnically Diverse Staff Network

   The LJMU Ethnically Diverse Staff Network is open to staff whom identify as Black, Asian and Minority Ethnic, in the first instance.

6. Outreach for schools and colleges

   Our outreach programmes inspire students by working with schools, colleges, career advisors, and parents, offering expert higher education guidance.

7. Expertise – Institute for Health Research

   The Institute for Health Research's expertise is wide ranging. From cardiovascular health to image and performance enhancing drugs, and children's health to green spaces. Find out more about our interest groups.

8. LCAPS International

   The Liverpool Centre for Advanced Policing Studies (LCAPS) at Liverpool John Moores University is committed to developing globally connected, evidence-based policing education, research, and practice.

9. Natural Products Toxicology

   The Centre for Natural Products Discovery is concerned with preventing and curing disease. Find out about investigating natural products and their toxicity, particularly in their ability to cause toxicity to cancer cells in an effort to identify new potential cancer chemotherapeutic leads.

10. A decision-support system for transportation and logistics

    Find out how our machine-learning systems are helping decision-making for transport authorities and commuters resulting in a greener, more efficient and more sustainable transport and logistics.