Cluster-viz: A Tractography QC Tool

Jordan, Kesshi; Keshavan, Anisha; Mandelli, Maria Luisa; Henry, Roland G.

doi:10.3897/rio.3.e12394

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2018

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“…Because all three events are relatively recent, it is still early to evaluate such long-term outcomes, as well as others including publications and collaborations resulting from these events. There are, however, initial indicators that all hack weeks encouraged long-term engagement with new concepts or tools and that they directly resulted in a number of publications [22][23][24][25][26][27][28][29] . For specific examples, see also below.…”

Section: Resultsmentioning

confidence: 99%

Hack weeks as a model for data science education and collaboration

Huppenkothen

Arendt

Hogg

et al. 2018

Proc. Natl. Acad. Sci. U.S.A.

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SignificanceAs scientific disciplines grapple with more datasets of rapidly increasing complexity and size, new approaches are urgently required to introduce new statistical and computational tools into research communities and improve the cross-disciplinary exchange of ideas. In this paper, we introduce a type of scientific workshop, called a hack week, which allows for fast dissemination of new methodologies into scientific communities and fosters exchange and collaboration within and between disciplines. We present implementations of this concept in astronomy, neuroscience, and geoscience and show that hack weeks produce positive learning outcomes, foster lasting collaborations, yield scientific results, and promote positive attitudes toward open science.

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