Putting resilience in place: Learn to apply cloud AI disruptive geospatial technologies people will use for decision making
Organizer: Mapbox, Microsoft AI for Good, Planet, World Bank
A new generation of converging geospatial, cloud, AI, and big data technologies now provide fresh opportunities to improve public sector decision making towards resilience a range of country settings, ranging from advanced Singapore, emerging mega-cities, to fragile and conflict affected settings at national and sub-national levels. The sessions will familiarize participants with the transformative impact that successfully designed and implemented user-centric digital platforms-tools can deliver for spatial decision-making and risk management. The focus will be on highlights public sector governance applications concerned with strategic planning and zoning, budgeting, delivery, and feedback for better living environments and resilient infrastructure. We will illustrate a set of use-cases in terms of they were interesting? How and where applied? Highlights include new “user-in the loop” AI tools for capturing land use cover, road network infrastructure, and risk exposure for local government users. |
Speakers:
Andrew Zolli, VP, Global Impact Initiatives – Planet
Caleb Robinson, Data Scientist
Dr. Sanjay Chawla, Research Director of QCRI’s Data Analytics Group
Kai Kaiser, Senior Economist, World Bank