Participatory AI Atlas
Humanitarian response / predictive analyticsforced displacement and humanitarian preparednessParticipation documented

Project Jetson

Copenhagen, Denmark

Project Jetson reports using human-centered design and field methods to select and validate locally relevant predictive factors.

human-centered designcollective crisis intelligencetechnology in conflictproblem formulationdata selectionmodel validationdeployment
Project documentation
Overview
Region
Africa
Lead organization
UNHCR Innovation Service
Organization type
nonprofit / NGO
Technology group
predictive analytics / machine learning
Activity status
legacy
Start year
2017
Last updated
Mar 25, 2026
Participation documentation
Participation mode
human-centered field research for predictive analytics
Participants
local communities; humanitarian workers; researchers
Methods
interviews; ethnography; human-centered design; variable validation
AI lifecycle stages
problem formulation; data selection; model validation; deployment
Evidence summary
Project Jetson reports using human-centered design and field methods to select and validate locally relevant predictive factors.
Atlas assessment
Core · High confidence · evidence grade A
Uncertainty
Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.
Project details
Participation group
Participatory Research
Technology description
predictive analytics / machine learning
Funding
Not documented
Region of activity
multi-country
Verification status
Live Verified
Links
Project documentationOfficial pagePlatformOfficial page

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