Climate Change, Mass Migration and Gender: A non-linear complexity

The dimensions of climate, migration and gender are highly correlated in a complex, non-linear fashion. Recent amplification in climate change has exacerbated the pre-existing economic, political, environmental, social and demographic problems. These act as drivers of forced or voluntary mass migration. The impacts are not felt equally across populations while disproportionately affecting different genders. It is crucial that this correlation is better understood. Our study is built on an analytical model where we focus on proposing a solution/ alleviation measures to the climate driven migration and gender impacts through STEM research and innovation. We begin by reducing the dimensionality of problem and selecting 2 developing countries each, from Sub-Saharan Africa, Latin America, and South Asia for our field work. The selection criteria includes GDP per capita, population density, mobility projections, vulnerability index, climate-risk index and so on. Then, climate driven gender variability in these countries is studied through mixed methods qualitative tools. The model established in this study can be replicable in nature and applied to other vulnerable nations as well as help in correct allocation, direction and maximized use of regional sustainable resources.