Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
有備無患,先掃再說? / Save for a Rainy Day? Observations...
Search
Poren Chiang
July 31, 2022
Research
0
270
有備無患,先掃再說? / Save for a Rainy Day? Observations and controversies of 1922 SMS registration system
Talk @ COSCUP 2022, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan.
Poren Chiang
July 31, 2022
Tweet
Share
More Decks by Poren Chiang
See All by Poren Chiang
為專案取名永遠是最困難的 / The Eternal Struggle of Naming a Project
rschiang
0
110
2026 g0v 零時政府年會啟動提案 / g0v Summit 2026 Kickstart
rschiang
0
260
Bittersweet: Promoting Digital Democracy with Civic Tech in East Asia
rschiang
0
110
什麼是社群精神?從 SITCON 到開源社群 / What is Community Spirit? Orientation
rschiang
0
150
有系統最安心?科技手段的正當程序 / “Trust the System?” Due Process Considerations of Algorithmic Decision-Making
rschiang
0
160
Digital Government Landscape in Taiwan: Schnitzels, Whistles, Unicorns
rschiang
0
100
g0v hackath52n proposal: Language Portal
rschiang
0
440
AGPL 與大 SaaS 時代授權的逆襲 / The License Strikes Back!: AGPL and Cloud-Targeting Licenses in the era of SaaS
rschiang
0
430
Plus, and Beyond!: Open source licenses, Creative Commons, & how to use them
rschiang
0
210
Other Decks in Research
See All in Research
まずはここから:Overleaf共同執筆・CopilotでAIコーディング入門・Codespacesで独立環境
matsui_528
2
470
2025/7/5 応用音響研究会招待講演@北海道大学
takuma_okamoto
1
180
能動適応的実験計画
masakat0
2
800
日本語新聞記事を用いた大規模言語モデルの暗記定量化 / LLMC2025
upura
0
180
在庫管理のための機械学習と最適化の融合
mickey_kubo
3
1.1k
数理最適化と機械学習の融合
mickey_kubo
16
9.3k
[CV勉強会@関東 CVPR2025] VLM自動運転model S4-Driver
shinkyoto
2
480
MIRU2025 チュートリアル講演「ロボット基盤モデルの最前線」
haraduka
15
7.9k
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observation and Wikipedia
satai
3
120
20250725-bet-ai-day
cipepser
2
420
Generative Models 2025
takahashihiroshi
24
13k
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
satai
1
190
Featured
See All Featured
Practical Orchestrator
shlominoach
190
11k
Typedesign – Prime Four
hannesfritz
42
2.8k
It's Worth the Effort
3n
187
28k
The Invisible Side of Design
smashingmag
301
51k
Git: the NoSQL Database
bkeepers
PRO
431
66k
RailsConf 2023
tenderlove
30
1.2k
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
Reflections from 52 weeks, 52 projects
jeffersonlam
352
21k
Raft: Consensus for Rubyists
vanstee
140
7.1k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
51
5.6k
Context Engineering - Making Every Token Count
addyosmani
1
30
Building Applications with DynamoDB
mza
96
6.6k
Transcript
RSChiang & Shun-Ling Chen @ COSCUP 2022 有備無患, 掃了再說?
簡訊實聯制的觀察與爭議
姜柏任 RSChiang 中央研究院法律學研究所 Photo by 粽⼦ @ g0v CC
BY 4.0
陳舜伶 shunlingchen 中央研究院法律學研究所
什麼是簡訊實聯制︖
None
None
蘇貞昌,Facebook,2021 年 5 ⽉ 18 ⽇。
簡訊實聯制怎麼來︖
https://news.ltn.com.tw/news/society/breakingnews/3542200
Patricia Liu et. al, #covid19, g0v.tw slack archive, 2021/5/12.
瘋先⽣,實聯制App懶⼈總整理:各縣市防疫實聯名制 QR Code⼀次看,2021 年 5 ⽉ 16 ⽇。
@pichuchen & Kate Lee, #covid19, g0v.tw slack archive, 2021/5/15.
g0v 防疫夜⾞⼩松
@au, @kiang & @acechen, #covid19, g0v.tw slack archive, 2021/5/15.
https://g0v.hackmd.io/pdlHsfCKTpuf0KL4Cr5W6A
@au, @acechen & @kiang, #contact-tracing, g0v.tw slack archive, 2021/5/18.
初始疑問
https://udn.com/news/story/120911/5757120
None
「如果無法評估效果, ⼜為何要持續編列預算?」
資料來源
None
None
None
None
None
None
None
None
趨勢觀察
None
None
https://www.cna.com.tw/news/ahel/202201220155.aspx
數據差異問題
None
2600M 3040M 3480M 3920M 4360M 4800M 2021 - 10 -
23 2021 - 11 - 06 2021 - 11 - 20 2021 - 12 - 04 2021 - 12 - 18 2022 - 01 - 01 2022 - 01 - 15 2022 - 01 - 29 2022 - 02 - 12 2022 - 02 - 26 2022 - 03 - 12 2022 - 03 - 26 2022 - 04 - 09 累積刪除簡訊則數 ( 1922 ) 累積刪除簡訊則數 ( NCC )
資料開放問題
None
None
None
None
None
開放做⼀半
None
None
裁罰基礎問題
None
None
None
None
None
None
https://www.cna.com.tw/news/firstnews/202105260278.aspx
有效性問題
None
5/19‒6/29 合計調閱實聯制簡訊數 3 0 3
2021/12/9‒10 中研院實驗室感染事件合計調閱數 2 3 0 , 5 0 0
None
2022/04/19 單⽇調閱實聯制簡訊數(歷史⾼峰) 3 8 3 , 8 7 2 4
• 2020 年鑽⽯公主號事件 -> 發送 62 萬筆 • 2021 年磐⽯艦號事件
-> 發送 21 萬筆 • 2021 年萬華社區熱點 -> 發送 60 萬餘筆 對照類細胞簡訊
更⼩、更精確? 可能未必
• ⼤規模蒐集與利⽤個資的疫調輔助⼯具使⽤更需⼩⼼ 即使在疫情趨緩後,也未⾒衛⽣主管機關著⼿評估或統計成效 • 使⽤或落實⽅法不同也可能影響效果 若進⼀步區分場所風險級別,蒐集與調閱資料也可更精準, 更能紓解疫調⼈員負擔 • 個資法在政府蒐集、連結、利⽤資料上規範明顯不⾜
仍須建立政府利⽤個資的評估與課責體制 簡訊實聯制的反思
後實聯制時代︖
None
Thanks! 閱讀系列⽂章 互動圖表原始碼