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Emma Wilson

PhD Student
The University of Edinburgh

Evidence synthesis; reproducibility; open research

she / her




About me

I’m a final year PhD student working with the CAMARADES research group at the University of Edinburgh. I’m supervised by Prof Emily Sena and Prof Peter Kind, and my PhD is funded by the Simons Initiative for the Developing Brain (SIDB).

My project aims to develop meta-research frameworks for evaluating evidence from studies using animals to model genetic neurodevelopmental conditions.

I use evidence synthesis methods to curate and evaluate biomedical research with the aim of improving methodological rigour, animal welfare, and research transparency. I’m interested in developing methods to aid evidence synthesis and understanding how we can best support researchers to ensure their work is transparent and reproducible.

I lead the Edinburgh Open Research Initiative, a grassroots organisation aiming to promote and support open research within the University of Edinburgh.

Publications

  1. Genetically-modified animals as models of neurodevelopmental conditions: a review of systematic review reporting quality
    Wilson E, Currie G, Macleod MR, Kind P, Sena ES.
    Brain and Neuroscience Advances, 2024.
    PDF Code
  2. A systematic online living evidence summary of experimental Alzheimer's research
    Hair K, Wilson E, Maksym O, Macleod MR, Sena ES.
    Journal of Neuroscience Methods, 2024.
    PDF
  3. Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis
    Hair K, Wilson E, Wong C, Tsang A, Macleod MR, Bannach-Brown A.
    Clinical Science, 2023.
    PDF
  4. Searching for evidence in public health emergencies: a white paper of best practices
    Brody S, Loree S, Sampson M, Mensinkai S, Coffman J, Mueller MH Askin N, Hamill C, Wilson E, McAteer MB, Staines H.
    JMLA, 2023.
    PDF Data
  5. Designing, conducting, and reporting reproducible animal experiments
    Wilson E*, Ramage FJ*, Wever KE, Sena ES, Macleod MR, Currie GL. (* contributed equally)
    Journal of Endocrinology, 2023.
    PDF
  6. Screening for in vitro systematic reviews: a comparison of screening methods and training of a machine learning classifier
    Wilson E, Cruz F, Maclean D, Ghanawi J, McCann SK, Brennan PM, Liao J, Sena ES, Macleod MR.
    Clinical Science, 2023.
    PDF Data
  7. Meta-analysis on reporting practices as a source of heterogeneity in in vitro cancer research
    Sander T, Ghanawi J, Wilson E, Muhammad S, Macleod MR, Kahlert UD.
    BMJ Open Science, 2022.
    PDF Data Code
  8. Building a systematic online living evidence summary of COVID-19 research
    Hair K, Sena ES, Wilson E, Currie G, Macleod M, Bahor B, Sena C, Ayder C, Liao J, Tanriver Ayder E, Ghanawi J, Tsang A, Collins A, Carstairs A, Antar S, Drax K, Neves K, Ottavi T, Chow YY, Henry D, Selli C, Fofana M, Rudnicki M, Gabriel B, Pearl EJ,Kapoor SS, Baginskaite J, Shevade S, Chung A, Przybylska MA, Henshall DE, Lôbo Hajdu K, McCann S, Sutherland C, Alves TL, Blacow R, Hood RJ,Soliman N, Harris A, Swift SL, Rackoll T, Percie du Sert N, Waldron F, Moulson R, Low JW, Rannikmae K, Miller K, Bannach-Brown A, Kerr F, Hébert HL, Gregory S, Shaw IW, Christides A, Alawady M, Hillary R, Clark A, Jayasuriya N, Sives S, Nazzal A, Sewell M, Bertani R, Fielding H, Drury B.
    JEAHIL, 2021.
    PDF

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