Former LCSSP postdoc Cong Cao and Co-Director Mike Alvarez use machine learning to investigate the interaction between demand for heating utiltilies and air pollution in Norway's urban areas.
In the aftermath of the devastating January 2025 Southern California wildfires, LCSSP convened experts in water quality and climate resilience to reflect on the role of science in helping communities recover from natural disasters.
Recent work co-authored by LCSSP Board Member and Assistant Professor of Economics, Hannah Druckenmiller, presents a machine learning model that uses geospatial data to predict which U.S. wetlands fall under the jurisdiction of the Clean Water Act.
Image Gallery Lightbox
Former LCSSP postdoc Cong Cao and Co-Director Mike Alvarez use machine learning to investigate the interaction between demand for heating utiltilies and air pollution in Norway's urban areas.
In the aftermath of the devastating January 2025 Southern California wildfires, LCSSP convened experts in water quality and climate resilience to reflect on the role of science in helping communities recover from natural disasters.
Recent work co-authored by LCSSP Board Member and Assistant Professor of Economics, Hannah Druckenmiller, presents a machine learning model that uses geospatial data to predict which U.S. wetlands fall under the jurisdiction of the Clean Water Act.
