Food, Energy, and Water
Earth’s fragile ecosystems of food growth, water management, and energy production are inextricably linked. In recent years, it has become increasingly clear that rising populations in less developed countries, poor resource management, and a reliance on non-renewable or not sustainable sources will place an enormous strain on our ability to provide future generations with the resources they will need.
In partnership with JSI and EU-funded research projects under Horizon2020, the AI for Good Foundation seeks to spur the development of technology that enhances water management and preservation efforts globally, ensuring safe and abundant water sources for future generations. Closely related to this is the development of renewable energy sources and resilient energy networks that allow all people to benefit from the opportunities of the digital age.
The AI for Good Foundation recently hosted the "Data Science for Intelligent Food Energy and Water" workshop at SIG-KDD, a leading conference for Data Mining and Artificial Intelligence. At this workshop, experts from major industrial stakeholders, governments, and academia discussed major threats and solutions that leverage the power of increasingly available data across these interconnected systems. This workshop also formed the culmination of a year-long set of efforts, together with Syngenta and The Good Growth Plan, to increase the attention of the research community on aspects of Food Security that might be addressed through Artificial Intelligence. Participants in the AI Challenge showed crop prediction models, assistive technologies for farmers, and supply-chain optimization, among many potentially beneficial technologies.
We continue to push and support the implementation of smart IoT systems that can sense, measure, analyse, and respond to changing environmental circumstances to reduce waste, optimize allocation, and increase resiliency of this critical societal infrastructure. We also believe that more needs to be done to ensure effective cross-border collaboration and policy. As scarsity of key resources increases, and the distribution of availability changes, inevitable tensions will rise. We look for ways to use prediction models to aid in the human negotiation and planning process.
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