Predicts climate implications and risks for the near future and decades ahead. These risks include droughts, extreme heat, floods, rising sea levels, etc.. 

To do this, we use prior records, along with gathering updated data on the environment. This includes data on temperature, greenhouse gas levels, ocean temperature,  precipitation data, and much more. 

We then run simulations and consider the physical laws and elements of the planet to make predictions. 

Used to track historical migration paths and patterns, and also to analyze population density in a given area. 

This data gives us an understanding of what communities in the past have been affected, along with where those displaced communities are likely to move. We can then use the historical data to calculate what communities will most likely be affected.

Systems, such as the Geographic Information System (GIS), are used to layer climate, population, and infrastructure data, allowing our researchers to visualize climate risks and potential migration pathways. We use a GIS-based platform to build our interactive digital map as well.

Global displacement datasets are used, such as the Internal Displacement Monitoring Centre, to understand past climate-related migration and improve our predictive models. 

To ensure that the cities on our network qualify to host large numbers of migrants, we critically evaluate important components: 

1. Food and Water Security Measures: We track the areas' available food and water supply to ensure that there is enough resources to sustainably support a growing population. 

2. Economic and Employment Measures: We examine both economic stability and employment availability to ensure that migrants have a favorable chance at finding work.

3. Infrastructure Availability: We consider how much available space there is for a large number of migrants. This includes housing, education, utilities, public services, and transportation.