Aug 9, 2019
This interactive tool demonstrates the data and analysis developed in support of Fondo de Agua Metropolitano de Monterrey's Monterrey Water Plan for 2050.
Mexico's third-largest metropolitan area, Monterrey, faces future water security challenges as the region grows. Tecnológico de Monterrey and RAND Corporation researchers used RAND's Robust Decision Making (RDM) framework to organize an analysis of long-term trends and vulnerabilities in water management in Monterrey and to help design a long-term water strategy.
This interactive tool allows users to explore data and analysis developed by the RAND Corporation and Tecnológico de Monterrey in support of Fondo de Agua Metropolitano de Monterrey's Monterrey Water Plan for 2050.
This paper presents the results of a systematic review of 84 studies that map social vulnerability to climate impacts in order to identify common approaches to mapping, evaluate their strengths and limitations, and offer recommendations and future directions for the field.
Speculating on recent efforts to establish contact with intelligent extraterrestrials.
The relationship between business cycles and health is theoretically complex. In a seminal paper, Ruhm (2000) outlined a series of economic mechanisms through which business cycles may influence health.
In this study, we present a novel approach that integrates information on the drivers of fire emissions in Indonesia, the transport of smoke to downwind regional population centers, and the resulting population exposure to air pollution.
The primary focus of this report is understanding how to evaluate the equitable use of algorithms across a range of specific applications. The report outlines concepts of equity from philosophical, legal, and technical standpoints to draw insights that apply across algorithmic decisionmaking contexts for several domains, including auto insurance, recruiting, and criminal justice.
A high-resolution hydro-meteorologic model was used to develop probabilistic flood maps representing the response of indices of rainfall extremes, probable maximum precipitation (PMP) and probable maximum flood (PMF), to climate change.