Artificial Intelligence can help with geospatial data collection — and those data can save lives. But AI can also have unintended consequences for marginalized groups. That’s where Responsible AI comes in.
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience
The Open Cities AI Challenge, put on by GFDRR with Azavea and DrivenData, recently concluded with over 1,100 participants, 2,100 submissions and $15,000 in total prizes awarded. Along two competition tracks, the Challenge produced global public goods — open-source data, code, research, and know-how — that will support mapping efforts for disaster resilience. This includes: Increasing… Read more »
Perspectives on Responsible AI for Disaster Risk Management
Machine learning (ML) can improve data applications in disaster risk management, especially when coupled with computer vision and geospatial technologies, by providing more accurate, faster, or lower-cost approaches to assessing risk. At the same time, we urgently need to develop a better understanding of the potential for negative or unintended consequences of their use. The… Read more »
The Open Cities AI Challenge
Segment buildings in African cities from aerial imagery and advance Responsible AI ideas for disaster risk management
Managing the Risks of Unmanned Aircraft Operations in Development Projects
From an origin in military and security applications, the use of unmanned aircraft (UA) technology is currently transforming commercial and humanitarian activity. Its evolution started many decades ago, but was limited by the technology of the time; in recent years, advances in this area have facilitated an increasingly rapid expansion of UA technology that has started to move into a variety of sectors. As the societal benefits of UA become clearer, organisations across the commercial and government spectrum seek to exploit the technology to improve their business models and offer a safer, cleaner, and more cost-effective alternative to traditional data-capture methods.
Capturing an archipelago: Open Cities Zanzibar
Open Cities Zanzibar has generated and visualized datasets critical to disaster risk management, building the capacity of government staff, university students, and communities in the process.
Tackling Coastal Flooding in Monrovia Slums: Understanding through partnerships, one community at a time
In the informal settlements of Liberia’s largest city, Open Cities Africa is introducing a dynamic open data workflow to support urban planning and protect residents from flood.
Building web maps in Zanzibar
Developers and geospatial professionals from across Africa gathered in Zanzibar for a two-day workshop on using Mapbox tools with open imagery, highlighting what’s spurring geospatial innovation across the continent.
Understanding Niamey’s flood risk through open source mapping, drones, and modeling
For thousands of years, the Niger River has been the lifeblood for not only Niger, but also its neighboring countries in the Niger River Basin. Yet, even as many Nigeriens depend on the mighty waterway for food, water, and livelihoods, the Niger River also poses a severe flood risk to the West African country during… Read more »
Comprendre les risques d’inondation à Niamey grâce à la cartographie open source, aux drones et à la modélisation
Pendant des millénaires, le fleuve Niger a été le poumon socioéconomique du Niger, mais aussi des pays voisins du bassin du Niger. Pourtant, même si cette imposante voie navigable permet à de nombreux Nigériens de se nourrir, s’approvisionner en eau, et gagner leur vie, elle présente également un grave risque d’inondation en Afrique de l’Ouest… Read more »
A Drone’s Eye View: UAV applications for a resilient Seychelles
In the Seychelles, life straddles the coastline. The 94,000 residents depend upon the sea for sustenance. The country relies on a mere 400 hectares of agricultural land, increasingly at risk of climate-related events. Inspired by the experience of Zanzibar, a neighboring island state with similar challenges, the Seychelles is now embracing drones as a tool to collect low-cost, highly accurate aerial imagery for resilient development.