Mark Daku (Ph.D., McGill University)
I am an Assistant Professor of Political Science at Texas Christian University. Prior to TCU, I held a post-doctoral fellowship in Causality, Population Health, and Health Equity at the Montreal Health Equity Research Consortium (MHERC). I studied political science at McGill University (MA 2008; Ph.D. 2015) and at the University of Toronto (Hon. B.A. 2006). I also hold a diploma in computer programming from Humber College (Dip. 2000).


Research Interests:  Methodology, Text Analysis, Health Politics, African Politics



Regionally, I specialize in sub-Saharan Africa, and I have lived in South Africa and Uganda. I have travelled extensively in the region, and I have worked in Madagascar, Swaziland, Sengal, and Rwanda.


Methodologically, I specialize in text analysis, and I am the programmer of Lexicoder, a software package for automated text analysis. Specialization aside, I am a very strong proponent of multiple and mixed methods for political analysis, and I am constantly working to expand and improve my methodological toolkit.


Substantively, I have an interest in the politics of health. I have written on HIV in South Africa and Uganda, on the importance of employee sick leave.  My current project focuses on the road as a political space where the state and citizens interact, and how that interaction shapes risky health behaviours.


Regionally, I specialize in South Africa and Uganda, and I have fieldwork experience in Uganda, South Africa, Rwanda, Swaziland, Senegal, Haiti, and Jamaica.


Outside of TCU, I am a partner at a small consultancy firm which provides data and methodology support for larger Monitoring & Evaluation projects, mostly in the developing world.  I have worked on projects for UNICEF, the World Bank, the World Food Program, the Government of Rwanda, and the Commonwealth Secretariat.

I am a hopeless coffee addict and an unabashed music nerd, and I tweet @markdaku

Note: If you are here looking for the “Political Science Summaries”, please note that I have taken them down for the school year.  If you are not one of my students and you are looking for access to the summaries, please contact me on twitter (@markdaku) and I will see what I can do.

Also, if you are looking for great (free) resources for learning data science and programming, please check out DataCamp.