$30 off During Our Annual Pro Sale. View Details »
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
280
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
130
2026 g0v 零時政府年會啟動提案 / g0v Summit 2026 Kickstart
rschiang
0
460
Bittersweet: Promoting Digital Democracy with Civic Tech in East Asia
rschiang
0
130
什麼是社群精神?從 SITCON 到開源社群 / What is Community Spirit? Orientation
rschiang
0
170
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
170
Digital Government Landscape in Taiwan: Schnitzels, Whistles, Unicorns
rschiang
0
120
g0v hackath52n proposal: Language Portal
rschiang
0
480
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
460
Plus, and Beyond!: Open source licenses, Creative Commons, & how to use them
rschiang
0
230
Other Decks in Research
See All in Research
音声感情認識技術の進展と展望
nagase
0
410
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1k
ACL読み会2025: Can Language Models Reason about Individualistic Human Values and Preferences?
yukizenimoto
0
100
生成的情報検索時代におけるAI利用と認知バイアス
trycycle
PRO
0
110
Open Gateway 5GC利用への期待と不安
stellarcraft
2
170
Agentic AI Era におけるサプライチェーン最適化
mickey_kubo
0
110
さまざまなAgent FrameworkとAIエージェントの評価
ymd65536
1
370
投資戦略202508
pw
0
580
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
satai
3
460
An Open and Reproducible Deep Research Agent for Long-Form Question Answering
ikuyamada
0
140
論文読み会 SNLP2025 Learning Dynamics of LLM Finetuning. In: ICLR 2025
s_mizuki_nlp
0
350
Multi-Agent Large Language Models for Code Intelligence: Opportunities, Challenges, and Research Directions
fatemeh_fard
0
120
Featured
See All Featured
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
55k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
0
94
Embracing the Ebb and Flow
colly
88
4.9k
Statistics for Hackers
jakevdp
799
230k
Chasing Engaging Ingredients in Design
codingconduct
0
84
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
1.8k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
3.8k
エンジニアに許された特別な時間の終わり
watany
105
220k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.1k
Music & Morning Musume
bryan
46
7k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.3k
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