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  • Lessons learned from Leicester's lockdown

    2000|External engagement Universities do not exist in bubbles. We live in local ecosystems and it is essential for the benefit of the institution and the wider community to develop meaningful partnerships and work collaboratively for the public good.

  • 14-16 June 2017 event

    Learn more about the workshops held on 14-16 June focusing on the following themes: security and insecurity; organised crime and gangs; crime, gender and sexuality.

  • Representations of Jamaican Organised Crime

    Get more information on the Representations of Jamaican Organised Crime workshop, held for the Dons, Yardies and Posses: Representations of Jamaican Organised Crime' project.

  • Clare Anderson

    I am a professor of history, with interests in colonialism and colonial societies across the British Empire. I am especially interested in the history of confinement.

  • About us

    Jeanette - Student The cell cycle, mitosis and meiosis - easy-to-understand research material, explained better than most books and sites. Excellent stuff! Biology teacher One in a million.

  • Research students

    Browse the research students who work and research within the Centre for Translation and Interpreting Studies, and see their research topics.

  • Workshops led by ROOTS Foundation

    Description of youth spoken word workshops led by ROOTS Foundation for the AHRC-funded collaborative project 'Representing Gender-Based Violence: Literature, Performance and Activism in the Anglophone Caribbean'.

  • hconnolly

    Fraud and Corruption blog #2: Building a Bridge over Troubled Waters – Lets learn to stand together against fraud and corruption! by Nigel Iyer Posted by hconnolly in School of Business Blog on November 5, 2019 In this blog Nigel Iyer, a Fraud Detective and Fellow of the...

  • Scott Davidson

    The academic profile of Dr Scott Davidson, Lecturer in Media and Public Relations at University of Leicester.

  • Artificial intelligence can better predict future risk for heart attack patients

    A landmark study led by University of Leicester experts' has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack

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