Emma Wilson
Thesis title: Developing a meta-research framework to evaluate evidence from animal models of neurodevelopmental conditions
Clinical Brain Sciences (PhD)
- CAMARADES
- Centre for Clinical Brain Sciences
Contact details
- Email: emma.wilson@ed.ac.uk
- Web: CAMARADES Website
PhD supervisors:
Address
- Street
-
CAMARADES
Centre for Clinical Brain Sciences
Chancellor's Building
49 Little France Crescent - City
- Edinburgh
- Post code
- EH16 4SB
Availability
Office: Tues (8am-4pm)
WFH: Mon, Wed, Thurs & Fri (9am-5pm)
Background
Emma is a PhD student in the CAMARADES Research Group at the University of Edinburgh. She specialises in meta-research and evidence synthesis. She is currently supervised by Professor Emily Sena and Professor Peter Kind on a project funded by the Simons Initiative for the Developing Brain (SIDB). She is passionate about open and reproducible research, and enjoys engaging the public with her research.
Research experience
- Research Associate (0.2FTE), UK Reproducibility Network, The University of Bristol (2021 - 2022)
- Research Assistant, CAMARADES, The University of Edinburgh (2019 - 2021)
Qualifications
- PhD in Clinical Brain Sciences, The University of Edinburgh (2021 - 2025)
- BSc in Neuroscience, The University of Edinburgh (2015 - 2019)
Responsibilities & affiliations
- Member, Research Data Alliance (2023 - present)
- Organiser, Edinburgh Open Research Initiative (2022 - present)
- Organiser, Edinburgh ReproducibiliTea (2022 - present)
- Member, British Neuroscience Association (2022 - present)
- Project Lead, Open Research in the Classroom (2021 - present)
- Crest Award Assessor, British Science Association (2021 - present)
- STEM Ambassador, STEM Learning (2021 - present)
Research summary
Meta-research techniques are increasingly used to summarise research literatures, and inform areas of research improvement. Systematic review is a structured meta-research approach that follows a pre-specified protocol to identify and assess evidence related to a specific research question. Meta-analyses combine quantitative outcome data from individual studies to identify average effects and effect moderators (including aspects of study design).
Publications
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Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis. Hair K, Wilson E, Wong C, et al. 2023. Clinical Science. 137(10) 773-784
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Designing, conducting, and reporting reproducible animal experiments. Wilson E, Ramage FJ, Wever KE, et al. 2023. Journal of Endocrinology.
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Searching for evidence in public health emergencies: a white paper of best practices. Brody S, Loree S, ... , Wilson E, et al. 2023. JMLA. 111(1/2)
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Screening for in vitro systematic reviews: a comparison of screening methods and training of a machine learning classifier. Wilson E, Cruz F, Maclean D, et al. 2023. Clinical Science. 137(2):181-193
- Meta-analysis on reporting practices as a source of heterogeneity in 'in vitro' cancer research. Sander T, Ghanawi J, Wilson E, et al. 2021. BMJ Open Science. 6(1):e100272
- Building a systematic online living evidence summary of COVID-19 research. Hair K, Sena E, Wilson E, et al. 2021. Journal of EAHIL. 17(2),21-26
Open code & datasets
- Survey of open research practices. Jaquiery M, Thompson J, Wilson E, Munafo M. 2021. University of Bristol Data Repository.
Experience
- CREST Award Assessor (2021 - present)
- Stem Ambassador (2020 - present)
Blogs
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Meta-Research: Using Science to Study Itself, STEM Ambassadors in Scotland (2022)
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My experience with Edinburgh BioQuarter’s STEM Clubs, Edinburgh BioQuarter (2021)
Awards
- Highly commended, STEM Inspiration Award for Outstanding New STEM Ambassador (2022)
- The University of Edinburgh Student Experience Grant, award value: £4,400 (2022)