
FutureArctic is a research initiative focused on understanding carbon cycling in sub-Arctic ecosystems under future climate change scenarios. It addresses key questions about how ecosystem processes interact to determine carbon storage capacity. The project leverages a unique research site in Iceland (ForHot) with a controlled temperature warming gradient. FutureArctic aims to provide crucial insights into future carbon cycling by assessing ecosystem and ambient processes, incorporating advances in machine learning, AI, UAVs, and sensor technology to create an 'ecosystem-of-things'. The initiative also includes an inter-sectoral training program for early-stage researchers to develop 'ecosystem-of-things' scientists and engineers, focusing on high-throughput data acquisition, machine learning for data analysis, and ethical frameworks for AI in environmental science.

FutureArctic is a research initiative focused on understanding carbon cycling in sub-Arctic ecosystems under future climate change scenarios. It addresses key questions about how ecosystem processes interact to determine carbon storage capacity. The project leverages a unique research site in Iceland (ForHot) with a controlled temperature warming gradient. FutureArctic aims to provide crucial insights into future carbon cycling by assessing ecosystem and ambient processes, incorporating advances in machine learning, AI, UAVs, and sensor technology to create an 'ecosystem-of-things'. The initiative also includes an inter-sectoral training program for early-stage researchers to develop 'ecosystem-of-things' scientists and engineers, focusing on high-throughput data acquisition, machine learning for data analysis, and ethical frameworks for AI in environmental science.