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BME Seminar Series: David Kennedy, Ph.D| Repronim: Towards Reproducible Neuroimaging Neuroscience| UMass Medical School

Monday, October 03, 2022
12:00 pm to 12:50 pm
Floor/Room #: 
David Kennedy, Ph.D
Professor of Psychiatry, University of Massachusetts Medical School
Director of the Division of Neuroinformatics
Child and Adolescent Neurodevelopment Initiative
ReproNim: Towards Reproducible Neuroimaging Neuroscience


Abstract: Given the intrinsically large and complex data sets collected in neuroimaging research, coupled with the extensive array of shared data and tools amassed in the research community, ReproNim seeks to lower the barriers for efficient: use of data; description of data and process; use of standards and best practices; sharing; and subsequent reuse of the collective ‘big’ data. Aggregation of data and reuse of analytic methods have become critical in addressing concerns about the replicability and power of many of today’s neuroimaging studies.

Biography: Dr. David Kennedy is a Professor of Psychiatry at the University of Massachusetts Medical School. He is Director of the Division of Neuroinformatics at the Child and Adolescent Neurodevelopment Initiative (CANDI). He has extensive expertise in the development of image analysis techniques and was a co-founder of the Center for Morphometric Analysis (CMA) at the Massachusetts General Hospital. His career has seen participation in the advent of such technologies as MRI-based morphometric analysis (1989), functional MRI (1991) and diffusion tensor pathway analysis (1998). He has long standing experience with development of neuroinformatics resources and participated in the morphometry Biomedical Informatics Research Network (mBIRN). Dr. Kennedy is a co-PI and community liaison for the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC). In addition, he is a founding editor of the journal Neuroinformatics that debuted in 2003, and PI of ReproNim: A Center for Reproducible Neuroimaging Computation.

Department of Biomedical Engineering
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