How to Use Data to Predict and Prevent Conflict

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Media Outlet: The Hill

Mina Chang wrote an article for The Hill about using predictive data analysis to prevent conflict:

Worldwide, people are struggling to recover from political, religious, and ethnic conflicts. Conflict begins when grievances are expressed through violence and instability, and it helps violent extremism grow.

Extremist groups grow through creating social and political movements, gaining territory to legitimize their ideology, recruiting, exploiting populations with few choices, and expanding their funding apparatus through human, truck, or weapons trafficking.

Those groups that “go global” exploit unstable environments, creating complex foreign challenges with terrorism, insurgencies, and internal conflicts fanned by external sponsors. Innocent people are suffering from extreme poverty and displacement, and extremist groups are taking advantage of them to amplify destabilizing messages.


Mina Chang serves as chief executive officer for Linking the World and has extensive on-the-ground experience, including Afghanistan, Somalia, and Iraq. She is a fellow with the International Security program at New America.