Project Resilience

Project Resilience was initiated under the Global Initiative on AI and Data Commons to build a public AI utility where a global community of innovators and thought leaders can enhance and utilize a collection of data and AI approaches to help with better preparedness, intervention, and response to environmental, health, information, or economic threats to our communities, and contribute the general efforts towards meeting the Sustainable Development Goals (SDGs)​. Project Resilience begun with predictive methods to help with health interventions to help contain COVID-19 threats, but with only 8 years left to meet the 2030 agenda for sustainable development by achieving the 17 SDGs, it no​w plans to develop a framework for building an AI utility to address other areas. This framework, including its code, data, and product specifications will be developed on the AI and Data Commons so that it can be replicated across all other SDGs. ​The initial framework will focus on climate and energy-related SDG targets, such as Target 13.2 “integrate climate change measures into national policies, strategies and planning” (under Goal ​13, Climate Action​), Target 7.2  “increase substantially the share of renewable energy in the global energy mix” (under Goal 7, Affordable and Clean Energy​). The specific climate-focused use case will be announced in the coming months.Project Resilience’s AI utility is intended to provide policy makers, industry, academia, and NGOs with the needed insights to act on the SDGs and meet the targets for their localized areas. The AI Utility will provide a free, always on, online predictive service that will provide reliable information for decision making to determine the best path for each localized area to make progress on these economic, social, and environmental challenges. ​​​​​