Organizing across disciplines to tackle shared computational challenges

2026/04/01 by Wojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg +13 · 1 voice
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Genetics, Bioinformatics, and Biomedical Research #Scientific Computing and Data Management #Single-cell and spatial transcriptomics

paper · doi:10.1016/j.patter.2026.101518

openalex publication_date 2026/04/01 · openalex created_date 2026/04/11 · openalex updated_date 2026/07/23

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.

Citations

• Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
• Artificial intelligence tools expand scientists’ impact but contract science’s focus

Discussions

• Excited to share our @cellpress.bsky.social paper on “computational motifs” (doi.org/10.1016/j.patter.2026.101518)! We present computational challenges shared across fields, prototypes to tackle them [bsky, 2 points, 0 comments]

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