Organizations joining forces against polarization
Polarization in Western Democracies is a significant concern. It has led new and existing nonprofit organizations (NGOs) to turn their focus to this problem. These NGOs promote our interdependence as humans through education, community-based interventions, political life, and technology, to name just a few. Some concentrate their actions in a specific city, while others reach people all around the world. But all of them share a common field of battle, making them deeply interconnected.
How to read this visualization
Main focus of an organization
- Education & Research
Scale at which an organization operates
- Regional or Local
- Between 2 nations
Estimated people reached by an organization
How the organizations relate to each other
Links connecting two organizations represent a shared field of action, like restorative justice, racism, or propaganda. When institutions share more than one area of activity, the link between them becomes thicker.
Placing your mouse over an organization highlights every other related NGO. Clicking on an organization freezes this highlighted state, allowing further exploration.
These connected organizations share the following field of action:
Notes & References
This project originates from the desire to visualize how nonprofit organizations (NGOs)' efforts are deeply intertwined to impact our world. Open source datasets on the subject didn't seem to exist at the moment of creation. Still, I found a dataset grouping NGOs focusing on reducing polarization, a topic very dear to my heart.
This dataset is by no means complete and focuses mainly on NGOs operating from the US. But still, exploring how much they are interconnected is fascinating to me.
A few organizations which are part of the sharing economy and technology categories do not appear to be nonprofit anymore. I decided to keep them in the dataset since their work sheds an interesting light on how, by making knowledge and information affordable and easy to access, we support democracy and every individual's growth.
To complete the dataset, I had to manually add missing information regarding the mission and some of the organizations' scale.