Projects & Writing
Beyond the papers
Independent research built on public data, and a series on learning and teaching psychometrics with AI. The sites and the series are in Traditional Chinese.
Independent research
- 01
Legislative Yuan Issue Atlas 立法院議題關注地圖
Which legislators attend to which issues in Taiwan’s Legislative Yuan, how that attention shifts from year to year, and how far bills progress.
- Data
- Legislative years 2016–2025 (each runs Feb 1 to Jan 31): rosters, bills, meetings, gazette transcripts, and the IVOD video index from LYAPI (a third-party compilation of Legislative Yuan open data), bill-number mappings from the Legislative Yuan open-data platform, and winner lists from the Central Election Commission.
- Methods
- Every record is classified by keyword rules; a legislator attends to an issue in a year with at least 3 substantive speeches or primary proposals on it that make up at least 5% of their weighted records. Each release is replayed offline from raw snapshots and published with SHA-256 manifests; every figure links back to official records.
- Limitation
- The issue classification is exploratory, with no human validation, and the figures describe observable activity, not policy credit or causal effects.
- 02
Taipei–New Taipei Mobility Atlas 流動的雙北
Does a nearby bus stop make daily life accessible? How bus routes, the MRT, and walking access shape everyday reach in Taipei and New Taipei.
- Data
- 1,051 bus routes (2,568 directional and branch records) across 41 districts, a 6,047-cell residential grid, MRT origin–destination trips (July 2026), workplace employment (2021), and weekday daytime activity population (November 2023).
- Methods
- Route geometry compared by dynamic time warping and shared stops by Jaccard similarity; UMAP, diffusion maps, and MDS for route maps; walking distance measured both in a straight line and along the street network.
- Finding
- In 509 of the 6,047 residential cells, the 90th-percentile distance to a stop is within 500 m in a straight line but exceeds 500 m along the streets.
- Limitation
- District-level figures are not stop-level counts, and the frequency scenarios compare operating conditions rather than the effects of implemented policies.
Writing
-
2026 iThome Ironman Contest, Claude AI category
不是叫 AI 寫教科書:大學教師用 Claude 自學心理計量,打造可驗證、可再教的客製化教材
Not asking AI to write the textbook: learning psychometrics with Claude and building verifiable, reteachable course materials.
A daily series covering measurement invariance, IRT, CAT and item information, reproducing lavaan and mirt analyses in R, and checking AI-assisted materials with source–claim tables and QA of formulas, links, and solutions.