Search the LJMU website

1. Green app can help save £100 a month in travel costs

   Liverpool City Region residents could save up to £100 each month by swapping car journeys for bike rides or walks according to data from a new mobile app being launched this week.

2. Mind the GaP!

   Time is rapidly running out for Principal Investigators to be trained on the new Grants and Projects (GaP) system. It has been agreed by the University that any bids for external funding (research and enterprise activity) from April 2020 will need to be set up by the Principal Investigator on the GaP system, so its important that you book onto training ASAP.

3. DaDaFest: The artistic flair to effect social change

   The HR team at Liverpool Business School are Project Evaluators for DaDaFest. Our role as project evaluators is to conduct a systematic assessment of the ongoing work at DaDaFest over three years. This role is a critical part of DaDaFest Paul Hamlyn award.

4. Illegal fish trade challenged by new technology

   A GENETIC test developed at LJMU could have a dramatic effect on how the UK polices illegal fishing.

5. Liverpool 5G Create project wins £4.3m funding from UK govt

   A project to deliver digital services to sick and elderly people in Liverpool has won £4.3million from the UK government.

6. Rare sharks detected around UK with DNA 'traps'

   Technique gives more accurate picture of sea life

7. Teachers Pension Member's Area

   My Pensions Online

8. Nanotech to lengthen life-span of electric vehicles

   Electric vehicles (EVs) are an important part of meeting global goals on climate change, but with more than half of their emissions coming in the manufacturing phase, product duration is key to ensuring EVs remain low-carbon emitters.

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. 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.