How Scientific Computing, Spatial Data Science, Open Science, and Open Data Help Revitalizing Hard-to-reach Population: Evidence from a Decade Research on Taiwan Indigenous Peoples
Year: 2025
Type: conference-paper
Abstract: Based on scientific computing, spatial data science, and open science, this research demonstrates how open data (including spatial & attribute data) helps revitalizing hard-to-reach populations (HRPs) using Taiwan indigenous peoples (TIPs) as example. Scientific computing methods and high performance computing technologies, spatial data science, and open science are three crucial dimensions that are utilized to overcome challenges in processing, extracting, enriching, managing, and sharing information embedded in rapidly growing big archival data sets. Legal and ethical issues are a top priority in this research. The research demonstrates the automated data processing procedures of building open spatial & attribute data sets that enable us to revitalize regional development.
Author: Lin, Ji-Ping
Institution: Academia Sinica
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: green
OpenAlex ID: W6893223185
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