政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/151573

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113318/144297 (79%)
Visitors : 51038398 Online Users : 963

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 社會科學學院 > 社會學系 > 會議論文 > Item 140.119/151573

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/151573

Title:	Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-To-Reach Populations: Research on Taiwan Indigenous Peoples
Authors:	林季平 Lin, Ji-Ping
Contributors:	社會系
Keywords:	hard-to-reach population;migration network;population dynamics;ethnic lineage;TICD;TIPD
Date:	2021-12
Issue Date:	2024-06-03 14:54:11 (UTC+8)
Abstract:	This paper highlights research on constructing big computational archives of hard-to-reach populations (HRPs), using Taiwan Indigenous Peoples (TIPs) as an example. The research uses archives of (1) anonymous individual-level migration flows computed from population dynamics data and (2) Taiwan indigenous community data (TICD) to illustrate characteristics of HRPs which were unknown before. The research suggests that computational HRP networks (e.g., migration networks) help overcome barriers to accessing HRPs and promote mutual understanding. The archives of Taiwan Indigenous Peoples Open Research Data (TIPD) are a research data source, with archives of address geocoding, population dynamics, and indigenous communities being most relevant to TIPs network systems. The migration flows are computed at the individual level and have unveiled various dimensions of HRP networks that were invisible before. The newly computed TICD archives enable us to trace migration flows of TIPs within and between indigenous communities and urban localities at the individual level in the context of ethnic lineages. The research findings suggest that strengthening intra- and inter-ethnic network connections serves as an effective measure to get deep insights into HRPs.
Relation:	2021 IEEE International Conference on Big Data, IEEE
Data Type:	conference
DOI 連結:	https://doi.org/10.1109/BigData52589.2021.9671838
DOI:	10.1109/BigData52589.2021.9671838
Appears in Collections:	[社會學系] 會議論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	70	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...