About the JAPA Model Project
The JAPA Model is an innovative Mathematical Framework developed to analyze and quantify the phenomenon of brain drain, particularly in the context of Nigeria’s ongoing migration challenges. Our model is designed to provide deep insights into the causes, effects, and patterns of skilled labor migration, offering policymakers data-driven recommendations to address this critical issue. By leveraging mathematical modeling techniques, we aim to capture both the socio-economic and psychological factors influencing migration trends, creating a comprehensive tool for stakeholders seeking sustainable solutions.
Paper Title: JAPA Model: A Mathematical Framework for Analyzing Brain Drain
The JAPA Model is a comprehensive mathematical framework developed to analyze brain drain, focusing on Nigeria’s emigration of skilled professionals due to unfavorable economic, political, and social conditions. By incorporating variables such as the size of the emigrant population, available opportunities in the country, and the number of returnees, the model provides insights into the migration dynamics and key socio-economic factors driving emigration. It emphasizes the need for Nigeria to create equitable opportunities by improving infrastructure, expanding job prospects, and enhancing working conditions to mitigate brain drain. Additionally, the model recommends government policies that incentivize the return of emigrants, such as offering professional development and fostering innovation hubs, while highlighting the importance of international collaboration for knowledge exchange and technology transfer. As a valuable tool for policymakers and researchers, the JAPA model offers a data-driven approach to understanding and addressing the challenges of brain drain, paving the way for more effective solutions to retain talent and foster national development.
Meet The Team
We are a dedicated and multidisciplinary team of applied mathematicians, data scientists, and sociologists with a strong focus on using mathematical modelling to solve pressing societal issues. Our expertise spans infectious disease modelling, social behaviour analysis, and economic forecasting, making us uniquely equipped to tackle the complexities of brain drain and societal issues. With our diverse backgrounds, we bridge the gap between theory and real-world application, ensuring that our models are grounded in practical realities.
Dr. Adejimi Adeniji
Affiliation – Tshwane University of Technology, Black in Mathematics Association
Area of specialization – Mathematical epidemiology, Social modelling, Population dynamics, Data Science
Hobby – Table tennis, movies
Slogan – We are not here to sit and watch; we are Graced to impact.
Dr. Emmanuel Dansu
Affiliation – Assistant Professor, Ecological Integration Lab, Graduate School of Life Sciences, Tohoku University, Sendai, Japan
Area of specialization – Mathematical Biology, Population Dynamics, Data Science
Hobby – Surfing the Internet, Badminton
Slogan – No matter how bad things are, they could be worse. So, be grateful always. No matter how good things are, they could be better. So, always strive for excellence.
Dr. Michael O. Adeniyi
Affiliation – Department of Mathematical Sciences, Lagos State University of Science and Technology Ikorodu, Lagos, Nigeria
Area of specialization – Mathematical Biology, Mathematical Modelling, Population Dynamics, Systems Biology, Ecological Modeling, Mathematical Epidemiology, Infectious and non-infectious diseases, Cancers, Malaria, Dengue, Cancer Biology, General Disease Dynamics Modeling, Differential Equations, Optimal Control Theory
Hobby – Football, Research, and Movies
Slogan – There is no luck anywhere. Luck is equal to opportunity plus hard work.
Ale Seun
Affiliation – School of Computing, Digital and Data, Technological University Dublin
Area of specialization – Agent-Based Modelling
Hobby – Tennis
Slogan – Proper prior planning prevents poor performance (6P’s)
Dr. Matthew Iwada EKUM
Affiliation – Department of Mathematical Sciences, Lagos State University of Science and Technology, Ikorodu, Lagos, Nigeria
Area of specialization – Statistics and Probability distributions, theory and applications
Hobby – Researching and Traveling
Slogan – From Data to Wealth
Dr. Bosede O. Fagbemigun
Affiliation – Department of Mathematical Sciences, Ajayi Crowther University, Oyo, Nigeria.
Area of specialization – Mathematical Analysis
Hobby – Math-themed Baking
Slogan – Exploring Math Beauty Through her Lens
Zhiri Abraham Baba
Affiliation – Federal University of Technology, Minna, Nigeria
Area of specialization – Fluid Dynamics and Mathematical Modelling
Hobby – Teaching, Farming, cooking and music.
Slogan – Mission ahead
Policy Recommendations
One of the key outputs of the JAPA model is actionable policy recommendations aimed at reducing the negative impacts of brain drain while fostering an environment where talents can thrive domestically. Our initial recommendations for policymakers include:
- Investing in Human Capital: Prioritize education and training to improve job opportunities and retain talent within the country.
- Creating Incentives for Return Migration: Establish policies that encourage the return of skilled professionals, such as tax breaks, professional networks, and innovation hubs.
- Addressing Push Factors: Tackle underlying issues like unemployment, security concerns, and inadequate healthcare infrastructure that drive citizens to seek better opportunities abroad.
The JAPA Model is more than just a mathematical tool—it’s a catalyst for meaningful change in the way nations approach migration and brain drain. We believe that through informed policy interventions, it’s possible to strike a balance between migration and national development, ensuring that countries like Nigeria (and other African nations) do not lose their brightest minds to the global talent pool without reaping the benefits.
Social Modeling and Future Work
Our team is committed to expanding the JAPA model to explore other migration-related challenges in Africa and beyond which combines social modelling with mathematical, artificial intelligence and data-driven techniques to explore the intersected relationships between migration, brain drain, and public health. These objectives extend our analysis to include: inter-regional migration, climate-induced migration, remittances impact and policy making.
Collaboration Opportunities
We are open to collaborations with stakeholders, government agencies, NGOs, and researchers who share a common interest in migration, development, and policy. Together, we can build solutions that balance the complexities of migration and contribute to sustainable development goals. Let’s work together to harness the full potential of human capital, both at home and abroad.