AI in practice: a multilingual survey of 2025 BioHackathon participants
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.
Authors
- Chatarin Wangsanuwat (ORCID: https://orcid.org/0000-0001-8228-2387)
- Hikaru Gyoji
- Pumipat Tongyoo (ORCID: https://orcid.org/0000-0002-3274-5475)
- Nattawet Sriwichai (ORCID: https://orcid.org/0000-0002-5844-4689)
- Pitiporn Noisagul
- Susumu Goto
- Lucas Feriau
- Yukiko Noda
- David Steinberg
Institutions
- Kasetsart University (TH)
- Mahidol University (TH)
- PEN American Center (US)
- Campo Arqueologico de Mertola (PT)
- Research Organization of Information and Systems (JP)
- Chiang Mai University (TH)
Publication Details
- Journal
- Gigabyte
- Published
- 2026-04-03
- DOI
- https://doi.org/10.46471/gigabyte.179
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Leibniz-Gemeinschaft