Related topics: climate change

Toolbox for tagging sensitive data in life science research

From climate change to global pandemics, the world is facing major environmental and health-related challenges that are driving life science research institutions to pool their data and digital resources in search of solutions.

A tool to detect higher-order phenomena in real-world data

EPFL researchers have developed a novel approach to network analysis that allows them to reveal and interpret, for the first time, interactions among multiple variables in data from neuroscience, economics, and epidemiology.

Using machine learning to help monitor climate-induced hazards

Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, according to research presented last month at the annual meeting of the American Geophysical ...

Urban forest-mapping with help from public and private data

A Concordia project cataloging the diversity of the urban forest in a Montreal residential neighborhood is now complete, and the researchers behind it say the results highlight the importance of a diverse city tree population.

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