APPLICATION OF ARTIFICIAL INTELLIGENCE FOR FORECASTING CLIMATE SCENARIOS IN THE PUBLIC-PRIVATE PARTNERSHIP IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO STUDY CLIMATE SCENARIOS IN THE ARCTIC
Abstract and keywords
Abstract:
Amid accelerating climate change in the Arctic, there is a growing demand for precise and adaptive forecasting tools. Artificial intelligence (AI) offers new opportunities for modeling complex climate scenarios, including the analysis of ice dynamics, greenhouse gas emissions, and satellite data. This article explores the potential of AI in Arctic climate forecasting and examines the role of public-private partnerships (PPP) as a mechanism for integrating resources, data, and technologies. It analyzes existing international initiatives, PPP formats, and regulatory frameworks, and provides recommendations for Russia’s integration into global research ecosystems.

Keywords:
Arctic, climate change, artificial intelligence, forecasting, public-private partnership, digital platforms, environmental policy, machine learning
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References

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