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  • Mental health: International

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on October 16, 2018 Useful mental health resources include: World Health Organization Mental Health Atlas; the latest (2017) edition  provides data on 177 WHO members covering mental health policy,...

  • What should we do about Fake News?

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 30, 2018 This  week   the   LSE Truth, Trust and Technology Commission launched its report.

  • More Than Just a Map

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 5, 2023 This site was created by investigative journalism produced by Tactical Tech’s Exposing the Invisible project, and licensed under a Creative Commons Attribution-ShareAlike 4.

  • on not using tidymodels

    argument against using tidymodels when teaching data analysis

  • David Bradshaw Creative Writing Residency

    Find out more about the David Bradshaw Creative Writing Residency and the collaboration with the Evelyn Waugh Complete Works project.

  • Economics

    Find your research degree supervisor in Economics at Leicester.

  • Martyrdom, Memory and the Marquis of Montrose. By Rachel Bennett

    Posted by Emma Battell Lowman in The Power of the Criminal Corpse on March 22, 2016   During the past three years a key part of my research as part of the Criminal Corpse project has been to trace the people who suffered the last punishment of the law from their capital...

  • Postgraduate Digital Showcase

    Master's degree of PhD, on-campus or online, discover more about our courses and how a Master's can support your career.

  • University of Leicester Academic staff blogs home

    Academic and Staff blogs written by current University of Leicester research, teaching and support staff. See what makes this Top 20 university a leader in innovative, world-changing research and inspirational passionate teaching.

  • Starting with the data

    problem-based teaching of data analysis with R and the tidyverse

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