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GigabyteScientific Communication & EducationPeer-reviewed journal article

AI in Practice: A Multilingual Survey of 2025 BioHackathon Participants

Nattawet SriwichaiiD, Lucas Feriau, Pumipat TongyooiD, Yukiko Noda, Hikaru Gyoji, Pitiporn NoisaguliD, Susumu GotoiD, David Steinberg, Chatarin WangsanuwatiD

PDFDOIPreprint
Citations
0
FWCI
0.00
Field percentile
18th percentile

Abstract

This dataset arises from a multilingual survey of AI use among participants and community members in the DBCLS BioHackathon 2025 in Japan. The questionnaire, offered in English, Japanese, and Thai, asked about how often respondents use AI tools, what they use them for, obstacles they encounter, institutional support, satisfaction, and concerns. Additional items captured role, institution type, work country, and other demographics, totaling 105 responses. The dataset includes both raw anonymized responses and a cleaned, standardized English-only version suitable for quantitative analysis, along with the full questionnaire, a data dictionary for cleaned dataset, and a translation lookup table. Free-text answers were screened and redacted to remove URLs, names, and other potentially identifiable information. Together, these materials provide a community-level view of AI practice in genomics, bioinformatics, software development, and related areas, and can support work on AI adoption, policy, and methods for analyzing survey data on AI use in science.

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