Our social work expertise includes fostering and adoption; child protection, anti-oppressive practice, working with marginalised groups, user-driven healthcare, substance misuse and more. Our research aims to promote social justice and improve people's lives.
The RISCS (Research to Improve Stair Climbing Safety) group of RISES is looking for people over the age of 65 years to take part in a study that aims to develop a community-level screening tool that can detect the risk of a fall on stairs specifically.
A retrospective of some of our features focusing on issues surrounding gender inequality and also celebrating the achievements of female students and academics at LJMU.
The aim of the conference is to provide a platform for students, academics, and practitioners to connect and share knowledge to create, promote, and lead change for women and girls across all facets of sport.
Join the LJMU Alumni Association and experience the benefits of being a graduate. Apply today if you're not already a member.
Find out more about the collaborative projects we undertake at LCR 4.0 and the results we have secured by browsing our case studies.
Read more about the collaboration between Beverston Engineering and LCR 4.0 working closely together we were able to develop a package of work, concentrating upon technologies which could have significant impact upon component accuracy improvement and waste reduction within the CNC manufacturing process.
Read more about the collaboration between Energy Fairies and LCR 4.0 to further develop their Flutter Shutter solution. Notably the Energy Fairy team wanted to specifically concentrate upon iterative design and test development of their envisaged smart sun tracking feature.
Read more about the collaboration between Greenbank Sports Academy (GSA) and LCR 4.0. GSA sought to develop a user friendly sports wheelchair which could be used to play power hockey and wheelchair football – which they have since named as ‘The Equaliser’.
Read more about the collaboration between LCR 4.0 and Abbey Engineering - it was identified that Abbey Engineering could use data analysis to make more informed decisions regarding their manufacturing processes.