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New Research from Jones-Smith and Co-Authors Assesses Impacts of Two Programs Supporting Meal Provision to School Children During Pandemic Closures

CSDE Affiliate Jessica Jones-Smith and several co-authors recently published an evaluation of two programs designed to replace missed meals for children from low-income families during pandemic school closures. The two programs are the ‘grab-and-go school meals’ and the ‘Pandemic Electronic Benefit Transfer (P-EBT).’  The nationwide study assessed the impact of the two programs in terms of how many eligible children they reached, the frequency of program receipt, and costs.

DEADLINE THIS WEEK: CSDE’s T32 Fellowship Program

CSDE’s Data Science and Demography T32 Fellowship program is accepting applications for a 12-month fellowship for AY 2022-23. This training program is ideal for pre-doctoral candidates who have strong interests in gaining methodological training in data analytics and with research interests in the social determinants or social structural factors linked to population well-being, population health, or demography. The program provides mentoring and support for trainees pursuing scientific careers in relevant academia, government, or private sector organizations. Trainees should be keenly interested in producing scientific knowledge for improving population health and well-being or improving knowledge about population dynamics. Learn more about the program and the application here. You can view a zoom recording of our most recent information session.

Summer Network Modeling for Epidemics Workshop: Applications Open for 2022!

Network Modeling for Epidemics (NME) is a 5-day short course at the University of Washington that provides training in stochastic network models for infectious disease transmission dynamics.

This is a ”hands-on” course, using the EpiModel software package in R (www.epimodel.org). EpiModel provides a unified framework for statistically based modeling of dynamic networks from empirical data, and simulation of epidemic dynamics on these networks. This course will touch on the deterministic and individual-based models, but its primary focus is on the theory, methods and application of network models. The course uses a mix of lectures, tutorials, and labs with students working in small groups.

Click here to apply!