Biography
I am a Lecturer (Assistant Professor) in Social and Health Data Science/Literacy with a teaching and research portfolio at the intersection of digitisation, health, and inequality. I joined the University in 2021 as a Research Fellow on the CARE project, having previously worked in Eswatini for five years. I then joined the University of Southampton as a CHERISH Research Fellow before returning to 精东传媒 in 2023.
As the school鈥檚 employability officer, I also support students' career development by organising events, such as GreenCareers Day, and creating opportunities to engage with alumni, employers, and showcase their work.
I chair the Thematic Panel of the Union for African Population Studies, where I contribute to methodological frameworks, ethical guidance, and applied use cases for AI in African population and data systems.
Teaching
My teaching reflects and extends my research interests by focusing on the critical intersections of digitisation, health, and inequality. I aim to equip students with both theoretical understanding and practical skills in data literacy, enabling them to tackle real-world social and health challenges. As a Lecturer in Social and Health Data Science/Literacy, I contribute to the following modules:
- SD4129: Digital inequalities and sustainable development: Trends, patterns, and implications
- SD5034: Health, Inequality and Development
- SD5810: Welcome to Data: Rubbish In; Rubbish Out
- SD5811: Statistical Foundations
- SD5812: Quantitative Methods
- SD5813: Advanced Data Visualisation
Research areas
My research examines how inequality is produced and reproduced across populations at the intersection of data, technology, and health, from who gets to produce scientific knowledge to who has the tools to analyse scientific data and to who bears the burden of health threats such as antimicrobial resistance (AMR). Grounded in demography and computational social science, my work spans three pillars and keeps a consistent focus on how advantage and disadvantage are distributed and measured across populations:
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Inequality in scientific production. Generative artificial intelligence (AI) is being absorbed into research at speed, yet the authorship, integrity, and evaluation rules meant to govern it are being developed with little evidence of how researchers actually use it. I am developing a programme of empirical metascience on how AI is reshaping who produces scientific knowledge and who is credited for it, and whether it is narrowing or widening that gap. This strand aims to give funders, publishers, and universities the empirical basis that their governance decisions currently lack.
- Social and health inequalities in the digital age. This strand addresses health threats whose burden falls unevenly, with a particular focus on AMR. I am developing a programme of research on how social and economic factors shape how, when, and from whom people seek health advice, and how digital tools, including conversational AI, are reshaping those decisions. I am particularly motivated to develop better ways to capture antimicrobial use and health-seeking behaviour in data-sparse settings, where the evidence needed for sound policy is often weakest.
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Inequality in analytical skills and infrastructure. Who gets to run advanced analysis and, therefore, who shapes the evidence behind major decisions, is still shaped by access to costly software, scarce expertise, and powerful computational hardware, leaving even well-trained analysts in low-resource institutions reliant on basic methods. I work to close that gap from both ends. I co-organise and sit on the advisory board of the Summer Institute in Computational Social Science (), which has trained more than 150 early-career researchers across Africa, and I lead the development of , a free, open-source platform funded by the Wellcome Trust, that makes statistical analysis, machine learning, and visualisation more accessible with limited specialist training, even on low-powered devices such as tablets.
PhD supervision
- Victor听Emmanuel
- Winifred听Maduko
Selected publications
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Open access
Olamijuwon, E. O., 14 May 2021, In: PLoS ONE. 16, 5, 24 p., e0250303.
Research output: Contribution to journal 鈥� Article 鈥� peer-review
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Open access
Liu, C. & Olamijuwon, E. O., Mar 2024, In: Social Science and Medicine. 345, 13 p., 116688.
Research output: Contribution to journal 鈥� Article 鈥� peer-review
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Open access
Poirier, M. J. P., Singh, J., Weldon, I., Chandler, C. I. R., Corno, D., Valtere, L., Batista, P. H. D., Carelli, D., Boily-Larouche, G., Lewycka, S., Emdin, F., Liddell, K., Minssen, T., Natali, I., Nayiga, S., Okeke, I. N., Olamijuwon, E., Outterson, K., Piper, J. & Strong, K. & 6 others, , 1 Jan 2026, In: Bulletin of the World Health Organization. 104, 1, p. 53-55 3 p.
Research output: Contribution to journal 鈥� Article 鈥� peer-review
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Open access
Akinyele, A., Olamijuwon, E., Adeniyi, A. A., Kazeem, O. S., Popoola, M., Agboeze, T. C. & Okeke, I. N., 23 Jul 2025, In: PLOS Global Public Health. 5, 7, 16 p., e0004894.
Research output: Contribution to journal 鈥� Article 鈥� peer-review
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Open access
Olamijuwon, E. O., Keenan, K. L., Mushi, M. F., Kansiime, C., Konje, E. T., Kesby, M., Neema, S., Asiimwe, B., Mshana, S. E., Fredricks, K. J., Sunday, B., Bazira, J., Sandeman, A. F., Sloan, D. J., Mwanga, J. R., Sabiiti, W., Holden, M. & CARE Consortium, 19 Jan 2024, (E-pub ahead of print) In: Journal of Global Health. 14, 10 p., 05007.
Research output: Contribution to journal 鈥� Article 鈥� peer-review
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