About this Research Topic
Climate change is one of the biggest challenges in our era. In the last few years, our society has observed the highest records of temperature and an increase in extreme events. The impacts affect virtually any living being on the planet. The damage, adaptations, and mitigation measures have an immense financial cost. More importantly, climate change is directly and indirectly responsible for many human losses that could be avoided. Therefore, If we do not effectively address climate change, the future of our planet might be catastrophic.
Reducing the impacts of climate change involves cooperation between all the different sectors of our global society. All parts of our worldwide community can contribute to diminishing its negative consequences. Multidisciplinary and interdisciplinary research is particularly important to address this question. More specifically, physical and social sciences are fundamental to understanding and projecting climate change. Recent advances in artificial intelligence, machine learning, data science, and network science also provide new powerful tools to model and forecast climate change. New data sets from different sources such as satellites, sensors, social media, and mobile phones, help us to better identify and quantify climate change. All these new data and tools permit us to better understand the effects of climate change on our global society.
This Research Topic aims to publish papers analyzing the impacts of climate change on our global society. We are particularly interested in new methods that model and project climate change, and innovative ways to reduce its impacts. Topics of interest include (but are not limited to):
- Climate modeling and prediction using machine learning, data science, network science, and physical methods.
- Data-driven approaches to quantify and predict social impacts of climate.
- Causal effects of climate change on societies.
- Explainable artificial intelligence
- New data sets linking climate change and social factors.
- Mitigation and adaptation approaches
Reducing the impacts of climate change involves cooperation between all the different sectors of our global society. All parts of our worldwide community can contribute to diminishing its negative consequences. Multidisciplinary and interdisciplinary research is particularly important to address this question. More specifically, physical and social sciences are fundamental to understanding and projecting climate change. Recent advances in artificial intelligence, machine learning, data science, and network science also provide new powerful tools to model and forecast climate change. New data sets from different sources such as satellites, sensors, social media, and mobile phones, help us to better identify and quantify climate change. All these new data and tools permit us to better understand the effects of climate change on our global society.
This Research Topic aims to publish papers analyzing the impacts of climate change on our global society. We are particularly interested in new methods that model and project climate change, and innovative ways to reduce its impacts. Topics of interest include (but are not limited to):
- Climate modeling and prediction using machine learning, data science, network science, and physical methods.
- Data-driven approaches to quantify and predict social impacts of climate.
- Causal effects of climate change on societies.
- Explainable artificial intelligence
- New data sets linking climate change and social factors.
- Mitigation and adaptation approaches
Keywords: climate change, climate change mitigation, social physics, artificial intelligence, machine learning, data science, network science
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
