Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Abstract Machine learning presents opportunities for tracking evidence on climate change
adaptation, including text-based methods from natural language processing. In theory, such …

Assessing global progress on human adaptation to climate change is an urgent priority.
Although the literature on adaptation to climate change is rapidly expanding, little is known …

Ambient temperatures are rising worldwide, with the greatest increases recorded at night.
Concurrently, the prevalence of insufficient sleep is rising in many populations. Yet it …

The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Big Data (BD) has shifted the paradigm of conventional data analysis with the exploitation of
emerging technologies. Analysis using BD contributes to foreseeing and pulling out value …

Vehicle electrification has emerged as a global strategy to address climate change and
emissions externalities from the transportation sector. Deployment of charging infrastructure …

Abstract The Paris Agreement and Katowice Climate Package articulate a clear mandate for
all parties to undertake and document adaptation progress. Yet persistent challenges have …

Citizen science (CS), that is, the involvement of citizens in data collection or analysis for
research projects, is becoming more widespread. This is due to the increasing digitalization …

Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …