duration
10 min
Pier Luigi Dovesi · The Good AI Lab
CV4GOODComputer Visionfor Humanitarian Action
1st
edition
edition
ECCV 2026 workshop
September 8-9, 2026
Malmö, Sweden
Malmö Arena + Malmömässan
CV4GOOD is an ECCV 2026 workshop bringing computer vision research face to face with frontline humanitarian practice in Malmö, Sweden. Born from a partnership between The Good AI Lab and Médecins Sans Frontières, it pairs researchers building vision and Earth-observation pipelines with practitioners who can say what works in the field, what fails, and what is missing.
co-hosted by
The Good AI Lab× Médecins Sans Frontières
A workshop shaped jointly by frontline humanitarian practice and computer-vision research.
invited speakers
Whoyou’llhear from
The people grounding the workshop in frontline practice, deployed methods, and governance.
field · research · governance
The program mixes humanitarian practice, academia, industry research, and governance. Practitioner and safety voices carry equal weight with frontier computer-vision research.
Médecins Sans Frontières
Ann De Schutter
Earth Observation (GIS) Manager at MSF Vienna, leading the team that provides EO insights to MSF's global operations.
Sets the needs-from-the-field framing.
Conflict Ecology Lab · Oregon State
Jamon Van Den Hoek
Associate Professor and PI using satellite imagery and machine learning to study how conflict affects people and landscapes.
Methods taken into active conflict monitoring.
Conflict Ecology Lab · Oregon State
Corey Scher
Researcher working on radar-based damage assessment and InSAR conflict monitoring through clouds and at night.
Near-real-time, city-scale mapping under pressure.
OlmoEarth · Allen Institute for AI
Joseph Redmon
Part of the OlmoEarth team building open foundation models for earth observation designed for non-profits and NGOs.
A direct reckoning with dual-use concerns.
MIT EECS
Sara Beery
Assistant Professor focused on generalizable, data-efficient methods for real-world environmental monitoring.
Distribution shift, scarce labels, and deployment constraints.
program
Half-DayWorkshopProgram
The workshop will take place in person and be streamed online for remote participants. The first half grounds the audience in humanitarian needs and deployed systems; the second broadens to methods, governance, and open discussion.
Half-day · in person + streamed
duration
25 min
Ann De Schutter · MSF
Needs from the field
What MSF uses, what breaks, and what the research community should build next.
duration
35 min
Jamon Van Den Hoek & Corey Scher · Conflict Ecology Lab
Conflict monitoring from orbit
Satellite imagery, radar-based damage assessment, and near-real-time monitoring in active conflict.
duration
25 min
Joseph Redmon · OlmoEarth, Ai2
Open foundation models for earth observation
From dual-use concerns to open EO infrastructure for non-profits and NGOs.
30 min
Coffee break
A pause before the methods and governance half
duration
25 min
Sara Beery · MIT
Generalizable environmental monitoring
Distribution shift, scarce labels, and methods that hold up in the real world.
duration
25 min
Heidy Khlaaf · AI Now Institute
Dual-use, safety, and accountable deployment
Grounding governance in concrete safety engineering practice.
duration
45 min
Closing Panel
Dual-use, governance, and the research agenda
Open discussion bridging humanitarian needs, computer-vision methods, and responsible deployment.
duration
5 min
Closing remarks
workshop
WorkshopandThemes
CV4GOOD is a half-day ECCV workshop that puts computer-vision researchers in the same room as the people who actually use these tools in humanitarian settings.
The aim is simple: turn field constraints into a sharper research agenda, and build collaborations that matter beyond the workshop itself.
why this matters
The question is not whether computer vision can contribute to humanitarian action, but how to make it reliable enough for high-stakes decisions and accountable enough to deserve trust.
co-hosted by
The Good AI Lab ×
Médecins Sans Frontières
Humanitarian AI and computer vision
Earth observation and remote sensing
Conflict, displacement, and food insecurity
Responsible deployment in high-stakes settings
Satellite damage assessment
Optical and SAR pipelines for conflict and disaster response.
Refugee settlement mapping
Detection and monitoring of displacement camps from space.
Crop stress and food security
Multispectral and temporal sensing for early warning under pressure.
Medical imaging in resource-poor settings
Decision support where operational conditions are hardest and least forgiving.
Foundation models for earth observation
Transferable representations, few-shot adaptation, and multimodal reasoning.
Trustworthy AI for lives and aid
How to make AI reliable enough for high-stakes humanitarian decisions.
deployment constraints
Domain shift across geographies and time
Scarce and noisy labels
Auditability
Calibrated uncertainty
Integration into GIS and clinical workflows
organizing committee
The peoplebehindCV4GOOD
CV4GOOD brings together researchers, practitioners, and organizers across academia, humanitarian work, and applied AI to shape a field-informed workshop from the ground up. These are the people making it happen.
in partnership with
Pier Luigi Dovesi
The Good AI Lab · AMD Silo AI
Matteo Poggi
University of Bologna
Federico Tombari
The Good AI Lab · Google · TU Munich
Philip Torr
University of Oxford
Ann De Schutter
Médecins Sans Frontières
Giorgos Tolias
The Good AI Lab · Czech Technical University in Prague
Noa Garcia
The University of Osaka
Bill Psomas
The Good AI Lab · Czech Technical University in Prague
Gianluca Villani
The Good AI Lab
Theodoros Panagiotakopoulos
The Good AI Lab · King
Rafailia Vlachou
The Good AI Lab · SEB
Maria Rosaria Briglia
The Good AI Lab · Sapienza University of Rome
Mattia Segù
The Good AI Lab · Google
Carlo Rapisarda
The Good AI Lab · GeoGuessr