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
260
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
Bittersweet: Promoting Digital Democracy with Civic Tech in East Asia
rschiang
0
88
什麼是社群精神?從 SITCON 到開源社群 / What is Community Spirit? Orientation
rschiang
0
130
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
140
Digital Government Landscape in Taiwan: Schnitzels, Whistles, Unicorns
rschiang
0
89
g0v hackath52n proposal: Language Portal
rschiang
0
410
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
400
Plus, and Beyond!: Open source licenses, Creative Commons, & how to use them
rschiang
0
200
簡訊實聯制的開放資料問題 / The Curious Case of 1922 SMS
rschiang
0
180
重構黑箱社會 / Restructuring a Black Box Society
rschiang
0
590
Other Decks in Research
See All in Research
NLP2025SharedTask翻訳部門
moriokataku
0
290
When Submarine Cables Go Dark: Examining the Web Services Resilience Amid Global Internet Disruptions
irvin
0
150
SSII2025 [TS2] リモートセンシング画像処理の最前線
ssii
PRO
7
2.7k
Adaptive Experimental Design for Efficient Average Treatment Effect Estimation and Treatment Choice
masakat0
0
130
Fairer and More Scalable Reader-Writer Locks by Optimizing Queue Management
starpos
0
110
最適化と機械学習による問題解決
mickey_kubo
0
130
Vision And Languageモデルにおける異なるドメインでの継続事前学習が性能に与える影響の検証 / YANS2024
sansan_randd
1
100
電通総研の生成AI・エージェントの取り組みエンジニアリング業務向けAI活用事例紹介
isidaitc
1
170
在庫管理のための機械学習と最適化の融合
mickey_kubo
3
1.1k
公立高校入試等に対する受入保留アルゴリズム(DA)導入の提言
shunyanoda
0
5.6k
ことばの意味を計算するしくみ
verypluming
11
2.6k
2025年度 生成AIの使い方/接し方
hkefka385
1
690
Featured
See All Featured
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
16
920
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
A Modern Web Designer's Workflow
chriscoyier
693
190k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
331
22k
Reflections from 52 weeks, 52 projects
jeffersonlam
351
20k
Six Lessons from altMBA
skipperchong
28
3.8k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
252
21k
Docker and Python
trallard
44
3.4k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
2.8k
Scaling GitHub
holman
459
140k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
31
1.2k
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