Tag: 2020

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 »

Sustainability in OpenStreetMap

The white paper explores the many facets of OpenStreetMap (OSM) in development and the challenges of striving for “sustainability” in the wider mapping ecosystem – the paper also examines the factors that influence long term success of work involving OSM in a development context.