Hello, I’m Emmanuel !

I am a Lecturer (Assistant Professor) in the School of Geography and Sustainable Development at the University of St Andrews. 

My current interdisciplinary research combines geographic and gender lenses to illuminate family dynamics and population health (particularly sexual and reproductive health). I have mostly used data from the Demographic and Health Surveys (DHS) to draw attention to involuntary childlessness (Olamijuwon et al., 2020), single motherhood (Banda et al., 2017; Odimegwu et al., 2020; Ojoniyi et al., 2019; Olamijuwon et al., 2017), child marriage (Olamijuwon et al., 2017), intimate partner violence (Akinyemi et al., 2020) and their associations with fertility and health outcomes.

I have also recently been using digital traces to illuminate opportunities for improving sexual health education strategies targeting young African adults (Olamijuwon et al., 2021; Olamijuwon & Odimegwu, 2021), illuminating the scale of technology-facilitated violence (Makinde et al., 2021), as well as uncovering how young people conceptualise sexuality on digital platforms (Olamijuwon & Odimegwu, 2021). Among other recognitions, I received the Green Talents in sustainable development award in 2019 from the Federal Ministry of Education and Research in Germany.

personal information

Full Name
Emmanuel Ọlámíjùwọ́n
Scotland, UK

Statistical Skills



  • Inequalities
  • Sexuality
  • Population Health
  • Technology Use
  • Quantitative Methods
  • World Population

Recent Projects

An R-shiny web application for tracking and promoting gender-equitable attitudes and other social values across sub-Saharan African countries.

This project combines peer-led sexual health interactions on social media with an online survey to illuminate opportunities for advancing sexual health promotion strategies for young African adults in the digital age.

Southern Science explorer combines innovative methods to increase the visibility of research and researchers in the global South.

The 4PopChange project (with Tim Miller) seeks to develop a Shiny web application that provides users with estimates and projections of the macroeconomic impacts of population ageing. The methods utilized in this app will be based on those presented in the Handbook on Population Ageing and the Sustainable Development.


If you are very passionate about computational and digital demography or #rStats as much as I do, you may find some of the resources on my blog very useful and interesting to read. You could also check out R-bloggers for more ‎tutorials for learning R. I would be glad to receive your comment and will appreciate your questions and feedback.

Check out my Blog


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Contact Me

Feel free to contact me if you have any questions or would like to collaborate on a project