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1. Smart meter data could help identify dementia

   Energy use patterns from smart meter data could be used to help identify whether people are suffering from conditions such as dementia and depression, computer scientists have shown.

2. Ancient skeletal hand could reveal evolutionary secrets

   A 4.4 million-year-old skeleton could show how early humans moved and began to walk upright, according to new research.

3. Celebrating a decade of sport science internships with Everton Football Club

   As many as 60 graduates from the School of Sport and Exercise Sciences have secured roles at professional football clubs in England and overseas over the past decade thanks to an internship scheme with Everton Football Club.

4. A message from the Vice-Chancellor (interim)

   A message from Mark Power, welcoming all staff back to campus for the new academic year.

5. Liverpool FC Women rise to the top with an assist from LJMU

   Liverpool FC Women clinched the title of the FA Women's Championship and promotion earlier this month, thanks in part to the help of backroom sport science experts from LJMU.

6. Global impact for publication on lack of exercise under ‘lockdown’

   Research which highlights changes to the human body during lockdown and other sedentary situations is having a huge impact among scientists worldwide.

7. New sensor could dramatically improve fight against malaria

   Many thousands of malaria deaths could be averted thanks to new sensor technology being developed in the UK.

8. Dazzling Iron Age discovery

   Archaeologists have discovered evidence of the first wealthy Iron Age community in the North West of England. 

9. Grants and Projects (GaP) System is Live!

   Research and Innovation Services and Finance are now using the new Grants and Projects (GaP) system.

10. Ice Age bone samples reveal DNA links between wolves and dogs

    An international group of geneticists and archaeologists have analysed bones samples, some provided by LJMU, that reveal the ancestry of dogs can be traced to at least two populations of ancient wolves.