Northern California

Agent-based modelling of post-disaster recovery with remote sensing data

In this recent study, we develop an agent-based model using machine learning-derived information from remote sensing data to simulate and explore the post-disaster recovery processes in urban areas of Tacloban, the Philippines, devastated by Typhoon Haiyan in 2013.

A review of agent-based flood risk models

In this paper, we systematically reviewed the ABMs that explore mid to long-term reactions of socio-economic systems to flood hazards...

Download our ABM model on risk perception and housing prices

Open Access agent-based model to simulate the aggregated impacts of households’ residential location choices and their changing risk perceptions in response to flooding.

Northern California

UNITED STATES – Where legalized, highly valuable and water intensive marijuana production is driving higher theft and negatively impacting legitimate irrigation operations, drinking water sources, Native American tribes, and small communities, amidst the driest years on record.