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女性與科技 7 題小挑戰 猜猜看,數字跟你想的一樣嗎?

王嵐

Created on May 21, 2026

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女性與科技 7 題小挑戰 猜猜看,數字跟你想的一樣嗎?

Start

Question 1/7

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全台灣的勞動人口中,女性的占比為

女性其實接近台灣勞動人口的一半。 進到科研現場,比例會有什麼改變嗎?

Info

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勞動部《113年性別勞動統計》,引用行政院主計總處「人力資源調查」。

Question 2/7

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Question 3/7

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台灣女性在科研人員中的比例,大約為

從整體勞動人口的接近一半,到了科研人員大約剩四分之一。 到了重要研究機構,女性研究員比例也大約是四分之一。 數字讓我們思考: 工作環境、政策、前輩模範、職涯支持,可能都在默默影響誰能進入、留下與發展。

Info

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國科會科學技術統計資料庫;國研院 STPI PRIDE 政策研究指標資料庫整理。

中研院 ESG Report

Question 4/7

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在工程與科技領域,女性教授和男性教授大約是 1:7。 教室裡看見的專業樣貌,還是很不平均。

學生對未來的想像, 身邊的老師,至關重要。

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教育部統計處性別統計專區 「性別統計指標彙總性資料-教職員」 https://depart.moe.edu.tw/ED4500/cp.aspx?n=C1EE66D2D9BD36A5

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Question 5/7

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女性不只在工程與科技領域的教授人數較少,進到正教授的比例也比較低。

這提醒我們,支持女性科技人不是只在入口處加油,也要在升遷、留任和被肯定的路上持續補給

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教育部統計處性別統計專區 「性別統計指標彙總性資料-教職員」 https://depart.moe.edu.tw/ED4500/cp.aspx?n=C1EE66D2D9BD36A5

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Question 6/7

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在 2024 年,「工程、製造及營建」類別的大專系所中,大約有

沒有女性專任教師

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這代表有些學生在求學過程中,可能很少、甚至完全看不見女性工程或科技教師。 角色典範的影響力無遠佛屆,最基本的會影響我們想像「誰可以在這裡」。

教育部統計處性別統計專區 「性別統計指標彙總性資料-教職員」 https://depart.moe.edu.tw/ED4500/cp.aspx?n=C1EE66D2D9BD36A5

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Question 7/7

最後,看看誰被記錄為典範。

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越到高階學術榮譽與代表性頭銜,女性比例通常越低。 女性科技人的能見度不只在教室和職場, 也包含誰被推薦、被肯定, 最後被寫進「典範名單」裡。

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114年度公開性平會紀錄資料整理。

Well done!

女性接近台灣勞動人口的一半, 但一路走進科研、工程教育現場、高階職涯與學術榮譽時, 比例卻在不同階段逐漸下降。 Together we can make a difference!

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