Two technical projects in international humanitarian innovation: Africa and India
Africa (Proceedings of the National Academy of Sciences 2013): USAID and the UN's World Food Program have proposed strategies for allocating ready-to-use (therapeutic and supplementary) foods to children in developing countries. Analysis is needed to investigate whether there are better alternatives. We use a longitudinal data set of 5657 children from Bwamanda to construct a statistical model that tracks each child's height and weight throughout the first five years of life. We embed this model into an optimization framework that chooses which individual children should receive food based on a child's sex, age, height and weight, to minimize the mean number of disability-adjusted life years per child subject to a budget constraint. Our proposed policy compares favorably to those proposed by the aid groups. Time permitting, we will also discuss a recent analysis of a nutrition program in Guatemala that quantifies the age dependence in the impact of supplementary food, and develops a food allocation policy that exploits this age dependence and reduces child stunting.
India: Motivated by India's nationwide biometric program for social inclusion, we analyze verification (i.e., one-to-one matching) in the case where we possess 12 similarity scores (for 10 fingerprints and two irises) between a resident's biometric images at enrollment and his biometric images during his first verification. At subsequent verifications, we allow individualized strategies based on these 12 scores: we acquire a subset of the 12 images, get new scores for this subset that quantify the similarity to the corresponding enrollment images, and use the likelihood ratio to decide whether a resident is genuine or an imposter. Compared to the policy currently used in India, our proposed policy provides a five-log (i.e., 100,000-fold) reduction in the false reject rate while only increasing the mean delay from 31 to 38 seconds.
A full speaker bio is available on CISAC's website.
CISAC Conference Room
Lawrence M. Wein
Graduate School of Business
Stanford University
Stanford, CA 94305-5015
Lawrence Wein is the Jeffrey S. Skoll Professor of Management Science at the Graduate School of Business, Stanford University, and an affiliated faculty member at CISAC. After getting a PhD in Operations Research from Stanford University in 1988, he spent 14 years at the Sloan School of Management at MIT, where he was the DEC Leaders for Manufacturing Professor of Management Science. His research interests include mathematical models in operations management, medicine and biology.
Since 2001, he has analyzed a variety of homeland security problems. His homeland security work includes four papers in Proceedings of the National Academy of Sciences, on an emergency response to a smallpox attack, an emergency response to an anthrax attack, a biometric analysis of the US-VISIT Program, and an analysis of a bioterror attack on the milk supply. He has also published the Washington Post op-ed "Unready for Anthrax" (2003) and the New York Times op-ed "Got Toxic Milk?", and has written papers on port security, indoor remediation after an anthrax attack, and the detention and removal of illegal aliens.
For his homeland security research, Wein has received several awards from the International Federation of Operations Research and Management Science (INFORMS), including the Koopman Prize for the best paper in military operations research, the INFORMS Expository Writing Award, the INFORMS President’s Award for contributions to society, the Philip McCord Morse Lectureship, the Frederick W. Lanchester Prize for best research publication, and the George E. Kimball Medal. He was Editor-in-Chief of Operations Research from 2000 to 2005, and was elected to the National Academy of Engineering in 2009.
