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Lawrence M. Wein: Data-Driven Operations Research Analyses in the Humanitarian Sector

Abstract: We briey discuss five projects in the humanitarian sector: allocating food aid for undernutrutioned children using data from a randomized trial in sub-Saharan Africa [1], allocating food aid for undernutritioned children using data from a nutrition project in Guatemala [2], analyzing the nutrition-disease nexus in the case of malaria [3], assessing the impact of U.S.'s failure to use local and regional food procurement on childhood mortality [4], and deriving individualized biometric identification for India's universal identificationprogram [5].

[1] Yang Y., J. Van den Broeck and L. M.Wein. A Ready-to-Use Food Allocation Policy to Reduce the Effects of Childhood Undernutrition in Developing Countries, Proceedings of the National Academy of Sciences 110, 4545-4550, 2013.
[2] Lakkam M., S. Wager, P. Wise and L. M. Wein. Quantifying and Exploiting the Age Dependence in the Effect of Supplementary Food for Child Undernutrition, PLOS ONE 9, e99632, 2014.
[3] Lakkam M. and L. M. Wein. Analysing the Nutrition-Disease Nexus: The Case of Malaria, Malaria Journal 14, 479, 2015.
[4] Nikulkov A., C. B. Barrett, A. G. Mude and L. M. Wein. Assessing the Impact of U.S. Food Assistance Delivery Policies on Child Mortality in Northern Kenya. PLOS ONE 11, e0168432, 2017.
[5] Sadhwan, A., Y. Yang and L. M. Wein. Analyzing Personalized Policies for Online Biometric Verification, PLOS ONE 9, e94087, 2014.