Project Jetson is a predictive analytics experiment to discover, understand, and measure the specific push and pull factors that cause, indicate or exacerbate the forced displacement. Project Jetson gives UNHCR and other humanitarian organizations the potential to become more proactive in their contingency planning, emergency preparedness and response efforts — a transformation that could significantly improve on-the-ground relief services and more importantly the lives of those who are forcibly displaced.
Humanitarian challenge
Drought exacerbating internal displacement in Somalia generated by protracted conflict
Challenge Question
How might UNHCR predict the number of people arriving into the different regions of Somalia?
Data innovation solution
Predictive Analytics (Machine-Learning Time Series Analysis, ML TSA)
Papers and Citations
Predictive analytics in humanitarian action: a preliminary mapping and analysis
A Framework For The Ethical Use Of Advanced Data Science Methods In The Humanitarian Sector
“Project Jetson”: An experiment for predicting movements of displaced people in Somalia using machine learning
Using artificial intelligence to model displacement in Somalia
Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners
Media Outlets
To Survive Disaster, Plan for the Worst (NYT Feb 2020)
Tracking goats and bleach, artificial intelligence helps out in crises (Reuters, April 2019)
The Potential and Practice of Data Collaboratives for Migration (SSIR March 2018
How innovation from within is transforming International Organizations as well as lives