Prof. Akanni Akinyemi
Obafemi Awolowo University, Ile-Ife, Nigeria
Akanni Akinyemi is an Associate Professor in the Department of Demography and Social Statistics at Obafemi Awolowo University, Ile-ife, Nigeria, where he also serves as the Director of the Intellectual Property and Technology Transfer Office. He is widely published and widely read and has received many renowned international research grants and awards.
I have been actively involved in policy and developmental issues in Nigeria since 1998. I have 17 years of professional experience. I am currently an Associate Professor with the Department of Demography and Social Statistics of the Obafemi Awolowo University, Nigeria and also a visiting Researcher many highly recognized institutions in Africa and beyond including:
a. Demographic Unit, University of the Witwatersrand, South Africa;
b. African Population and Health Research Centre (APHRC), Nairobi Kenya;
c . Johns’ Hopkins University, Bloomberg School of Public HealthI also served on the COUNTDOWN Global Technical Working Group on family planning and improving child health outcomes, I have worked as consultant on collecting, analyses and reporting of large national datasets with any international agencies and organizations either on short time basis of fixed terms including: UNFPA, Nigeria: Performance Monitoring and Accountability (2020), Bill and Melinda Gates Institute, Johns Hopkins University, USA (2014-2015): Clinton Health Access Initiative (2013-2015) on monitoring and evaluation of health outcomes and facilities (including monitoring of vaccination storage in chain storage and delivery system with PDA). I have also led many national surveys including household and health facility surveys with Centre for Research Evaluation and Resources Development (CRERD) to clients including: PATH-DFID international; Measure Evaluation , Tulane University projects in Nigeria including COMPASS projects (2009, 2007 and 2005); VISION projects (2007, 2005 and 2002). I have also worked as a consultant with UNFPA on development and tracking of the MDGS using a logframe matrix. I am well equipped with both quantitative and qualitative research skills.