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Miller et al. find benefits of Medicaid for pregnant mothers in 1980s carry over two generations

Starr's findings account for some of the 19% black-white gap in federal sentencing

Frey says suburbs are aging, cities draw millennials

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Bailey et al. find higher income among children whose parents had access to federal family planning programs in the 1960s and 70s

U-M's campus climate survey results discussed in CHE story

U-M honors James Jackson's groundbreaking work on how race impacts the health of black Americans

U-M is the only public and non-coastal university on Forbes' top-10 list for billionaire production

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Mon, Jan 22, 2018, noon: Narayan Sastry

BD Spokes: SPOKE: MIDWEST: Collaborative: Advanced Computational Neuroscience Network (ACNN)

a PSC Research Project

Investigators:   Richard D. Gonzalez, Ivaylo D. Dinov, John E. Marcotte

BD Spokes: SPOKE: MIDWEST: Collaborative: Advanced Computational Neuroscience Network (ACNN)
This multi-institutional spoke will develop ontology-driven standardization, provenance metadata, and workflow standards for the growing area of research in data-intense neuroimaging (e.g., MRI, PET, EEG, MEG, and NIRS), which typically includes additional clinical (e.g., cognitive assessment), demographic, genetic, and phenotypic data. There is little consensus within and across relevant scientific disciplines about the optimal data representation, data acquisition and reconstruction protocols, data analysis workflows and result reproducibility strategies, which makes it difficult to build a sustainable, functional, robust and innovative framework for advanced neuroscientific research.

Funding Period: 09/01/2016 to 08/31/2019

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