Shinya Uryu — Human × Environment × Information
HUMAN × ENVIRONMENT × INFORMATION
Understanding human–environment–information systems through data.
人間・環境・情報空間の関係をデータで読み解く
Shinya Uryu — Assistant Professor, Center for Design-Oriented AI Education and Research, Tokushima University
14 peer-reviewed publications · 3 research axes · 3 active projects · 1 active KAKENHI grant · 11 Wikipedia language editions under study · 21,955 Red List species benchmarked
News
- 2026 — jmastats 0.3.1 released on CRAN: bundled datasets updated to September 2026, with fixes to station validation and caching.
- 2026 — Benchmarking large language models for biodiversity assessment published in Ecological Informatics.
- 2026 — KAKENHI Grant-in-Aid for Scientific Research (C) 26K09459 started (FY2026–2028): language disparities in biodiversity knowledge.
- 2026 — BioWikiNet published in Scientific Data; dataset archived on Figshare.
- 2025 — Banning Wildlife Trade Can Boost the Unregulated Trade of Threatened Species published in Conservation Letters.
Research Areas
Human × Environment
How do people move through, and get exposed to, environmental risk? Extreme heat, human mobility, and spatial exposure in cities and regions.
extreme heat · human mobility · spatial exposure · urban environment · spatial analysis
Environment × Information
How are nature and biodiversity represented in the information space? Conservation culturomics and biodiversity perception through digital corpora.
biodiversity · conservation culturomics · wildlife trade · human–nature relationships · biodiversity perception
Human × Information
How is knowledge about nature and science structured across languages and platforms? Multilingual Wikipedia, natural language processing, and knowledge graphs.
Wikipedia · multilingual data · NLP · knowledge graphs · network science · LLM evaluation
Selected Publications
Recent Publications
Projects
Funding
KAKENHI 26K09459 — Grant-in-Aid for Scientific Research (C), FY2026–2028, PI. Language disparities in biodiversity knowledge, measured through multilingual Wikipedia and LLMs.
Data & Software
Datasets, research software, and interactive visualizations are first-class research outputs here, alongside papers.