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1. Art takeover at Liverpool’s iconic Lewis’s building

   An ambitious public-facing art exhibition CLEARANCE! is now on display at Liverpool's iconic former Lewis's department store building, showcasing the work of MA Fine Art students and graduates.

2. Sport performance experts at LJMU support former pro footballers

   LJMU is a key regional operator in a nationwide PFA initiative, aimed at managing ex-players’ physical and mental transition away from full-time football.

3. LJMU Diversity and Inclusion Calendar 2023 for students

   LJMU’s Diversity and Inclusion Calendar is now available as a resource to all students on the LJMU website.

4. LJMU supporting our NHS

   LJMU is proud to be supporting our NHS and making a contribution to the national effort against COVID-19.

5. Eight students compete in Archon University Fitness League

   Eight LJMU students took part in an Archon Fittest Universities Event in Birmingham earlier this month, with student Jordan McCarthy placing first across the leaderboard in the STRONG category.

6. Four useful apps for new students to download

   My LJMU, Canvas, Outlook and the Microsoft Authenticator apps are essential for all new students.

7. Are you feeling homesick?

   35% of new students experience homesickness. Find out top tips on overcoming homesickness and how to get support.

8. Students gain insight into world of international boxing

   Students from the School of Sport and Exercise Sciences, Liverpool Screen School and Liverpool Business School gained real-world insight into professional boxing and PR with a campus visit from worldwide boxing promoters Matchroom and boxer Peter McGrail.

9. Vaccines are here but how will we get them to billions of people?

   This article was published in The Conversation and authored by Sarah Schiffling, Senior Lecturer in Supply Chain Management, LJMU and Liz Breen, Reader in Health Service Operations, University of Bradford.

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.