Mizu Risk Lab
Agriculture accounts for 70% of human freshwater use and 80% reliant on rainfalls. Climate change shifts weather patterns including rainfalls globally and jeopardizes food security through water. Although trillions of dollars of food and agriculture businesses and assets are exposed, the industry does not have standardized, data-driven methods to quantify water risks.
Mizu Risk Lab helps agriculture asset owners and supply chain actors simulate water volatility and quantify the financial impact on their assets and operations. Our machine-learning-powered models simulate the effects of various climate scenarios on key metrics like farmland value, operational losses, and product prices. Our analytics tool empowers users to make informed, proactive decisions that optimize water and landscape management. By working with food and agriculture asset owners, financiers, and operators, we aim to drive the transition to a climate-resilient food system.
Team Members
Tomo Kumahira (MS Environmental Resources, Doerr School of Sustainability / MBA, GSB); Ryo Takanashi (MS Environmental Resources, Doerr School of Sustainability / MBA, GSB); Jared Isobe (MS Computer Science, School of Engineering); PI: Prof. Gretchen C. Daily (Environmental Science)