AI in practice: a multilingual survey of 2025 BioHackathon participants.

IF 1.2

GigaByte (Hong Kong, China) Pub Date : 2026-04-03 eCollection Date: 2026-01-01 DOI:10.46471/gigabyte.179

Nattawet Sriwichai, Lucas Feriau, Pumipat Tongyoo, Yukiko Noda, Hikaru Gyoji, Pitiporn Noisagul, Susumu Goto, David Steinberg, Chatarin Wangsanuwat

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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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人工智能的实践：对2025名生物黑客马拉松参与者的多语种调查。

该数据集来自对日本2025年DBCLS生物黑客马拉松参与者和社区成员使用人工智能的多语言调查。该问卷以英语、日语和泰语提供，询问了受访者使用人工智能工具的频率、用途、遇到的障碍、机构支持、满意度和担忧。其他项目包括角色、机构类型、工作国家和其他人口统计数据，共有105个回答。该数据集包括原始匿名回复和适合定量分析的经过清理的标准化英文版本，以及完整的问卷调查、用于清理数据集的数据字典和翻译查找表。对自由文本答案进行了筛选和编辑，以删除url、名称和其他潜在的可识别信息。总之，这些材料提供了基因组学、生物信息学、软件开发和相关领域的人工智能实践的社区层面观点，并可以支持人工智能采用、政策和方法方面的工作，以分析人工智能在科学中使用的调查数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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