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Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy.
Rokem, Ariel; Benson, Noah C.
Afiliación
  • Rokem A; Department of Psychology, University of Washington, 119 Guthrie Hall, Seattle, 98195, Washington, USA. arokem@uw.edu.
  • Benson NC; eScience Institute, University of Washington, 3910 15th Ave NE, Seattle, 98195, Washington, USA. arokem@uw.edu.
Neuroinformatics ; 2024 May 20.
Article en En | MEDLINE | ID: mdl-38763989
ABSTRACT
NeuroHackademy ( https//neurohackademy.org ) is a two-week event designed to train early-career neuroscience researchers in data science methods and their application to neuroimaging. The event seeks to bridge the big data skills gap by introducing participants to data science methods and skills that are often ignored in traditional curricula. Such skills are needed for the analysis and interpretation of the kinds of large and complex datasets that have become increasingly important to neuroimaging research due to concerted data collection efforts. In 2020, the event rapidly pivoted from an in-person event to an online event that included hundreds of participants from all over the world. This experience and those of the participants substantially changed our valuation of large online-accessible events. In subsequent events held in 2022 and 2023, we have developed a "hybrid" format that includes both online and in-person participants. We discuss the technical and sociotechnical elements of hybrid events and discuss some of the lessons we have learned while organizing them. We emphasize in particular the role that these events can play in creating a global and inclusive community of practice in the intersection of neuroimaging and data science.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroinformatics Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroinformatics Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos