Organizing across disciplines to tackle shared computational challenges

The Science through Computation Initiative unites sixteen early-career computational scientists spanning physics, biology, chemistry, and neuroscience. Over nine months of workshops and hackathons, they agreed on "computational motifs," fundamental challenges that recur across their scientific disciplines, built prototype tools tackling them, and distilled actionable recommendations for the wider research community.

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Publication Details

Journal
Patterns
Published
2026-04-01
DOI
https://doi.org/10.1016/j.patter.2026.101518
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Organizing across disciplines to tackle shared computational challenges

Austin M. Mroz, Filip Szczypiński, Michał Wójcik, Wojtek Treyde et al.
Patterns
Scientific Computing and Data Management
article

Organizing across disciplines to tackle shared computational challenges

Austin M. Mroz, Filip Szczypiński, Michał Wójcik, Wojtek Treyde, Eva Sevenster, Jakub Lála, Inga Van den Bossche, Kieran Didi, Martin Buttenschoen, Rory T. Byrne, Jonathon Langford, Puria Radmard, Danyal Akarca, Jascha Achterberg, Aleksy Kwiatkowski, Kristina Kordova
article en

Abstract

The Science through Computation Initiative unites sixteen early-career computational scientists spanning physics, biology, chemistry, and neuroscience. Over nine months of workshops and hackathons, they agreed on "computational motifs," fundamental challenges that recur across their scientific disciplines, built prototype tools tackling them, and distilled actionable recommendations for the wider research community.

PatternsVol. 7(4)
Durham University (GB), MRC Cognition and Brain Sciences Unit (GB), University of Cambridge (GB), Innovative Medicines Initiative (BE), University of Bristol (GB), University of Oxford (GB), Wellcome Centre for Integrative Neuroimaging (GB), NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB)
Advanced Research and Invention Agency, Royal Society
Openalex Percentile: Top 30%
Scientific Computing and Data Management
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Organizing across disciplines to tackle shared computational challenges — Austin M. Mroz, Filip Szczypiński, et al. · Patterns (2026) | TGRS Research Map | TGRS