iVOD / 167281

Field Value
IVOD_ID 167281
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167281
日期 2026-01-28
影片種類 Clip
開始時間 2026-01-28T10:17:02+08:00
結束時間 2026-01-28T10:30:57+08:00
影片長度 00:13:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0b5ec5fbcfced67d6f2f7f109162218cf4fe19c94b211847e2c12228464ea44cc2cb998dec49867b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳思瑤
委員發言時間 10:17:02 - 10:30:57
會議時間 2026-01-28T09:00:00+08:00
會議名稱 1.游被提名人盈隆-立法院第11屆第4會期內政、司法及法制委員會第2次聯席會議(事由:審查行政院函送中央選舉委員會委員提名名單,游盈隆為委員並為主任委員,胡博硯為委員並為副主任委員,黃文玲、李禮仲、蘇嘉宏、蘇子喬及陳宗義均為委員,請同意案。【1月28日及29日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.79034375
transcript.pyannote[0].end 3.08534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.21596875
transcript.pyannote[1].end 5.02596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 8.41784375
transcript.pyannote[2].end 13.21034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 14.12159375
transcript.pyannote[3].end 15.92721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.49221875
transcript.pyannote[4].end 25.29284375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 23.47034375
transcript.pyannote[5].end 23.85846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.63034375
transcript.pyannote[6].end 32.61659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 32.86971875
transcript.pyannote[7].end 39.72096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 39.92346875
transcript.pyannote[8].end 41.02034375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 41.30721875
transcript.pyannote[9].end 43.53471875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.70346875
transcript.pyannote[10].end 50.79096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 51.87096875
transcript.pyannote[11].end 52.02284375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 52.39409375
transcript.pyannote[12].end 66.53534375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 67.36221875
transcript.pyannote[13].end 67.93596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 68.22284375
transcript.pyannote[14].end 73.33596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 73.52159375
transcript.pyannote[15].end 75.17534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 75.49596875
transcript.pyannote[16].end 79.17471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 79.39409375
transcript.pyannote[17].end 81.80721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 82.26284375
transcript.pyannote[18].end 86.48159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 86.98784375
transcript.pyannote[19].end 90.05909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 90.39659375
transcript.pyannote[20].end 102.44534375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 102.44534375
transcript.pyannote[21].end 103.32284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 103.32284375
transcript.pyannote[22].end 104.23409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 104.85846875
transcript.pyannote[23].end 110.69721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 111.76034375
transcript.pyannote[24].end 116.28284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 118.57784375
transcript.pyannote[25].end 120.06284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 122.10471875
transcript.pyannote[26].end 124.66971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 125.41221875
transcript.pyannote[27].end 127.21784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 128.02784375
transcript.pyannote[28].end 130.94721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 131.43659375
transcript.pyannote[29].end 140.68409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 134.59221875
transcript.pyannote[30].end 134.67659375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 141.12284375
transcript.pyannote[31].end 146.03346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 146.64096875
transcript.pyannote[32].end 164.59596875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 164.95034375
transcript.pyannote[33].end 180.07034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 181.06596875
transcript.pyannote[34].end 211.13721875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 211.79534375
transcript.pyannote[35].end 219.87846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 219.92909375
transcript.pyannote[36].end 228.38346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 229.09221875
transcript.pyannote[37].end 229.66596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 230.13846875
transcript.pyannote[38].end 236.24721875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 237.04034375
transcript.pyannote[39].end 241.46159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 241.93409375
transcript.pyannote[40].end 246.45659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 246.99659375
transcript.pyannote[41].end 268.24221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 268.64721875
transcript.pyannote[42].end 296.50784375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 297.79034375
transcript.pyannote[43].end 300.10221875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 300.96284375
transcript.pyannote[44].end 301.63784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 302.09346875
transcript.pyannote[45].end 305.14784375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 306.24471875
transcript.pyannote[46].end 310.76721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 311.17221875
transcript.pyannote[47].end 314.46284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 313.73721875
transcript.pyannote[48].end 314.32784375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 314.90159375
transcript.pyannote[49].end 317.17971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 317.23034375
transcript.pyannote[50].end 321.26346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 317.33159375
transcript.pyannote[51].end 323.74409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 323.45721875
transcript.pyannote[52].end 323.82846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 323.79471875
transcript.pyannote[53].end 329.11034375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 323.84534375
transcript.pyannote[54].end 323.87909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 329.11034375
transcript.pyannote[55].end 338.00346875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 330.27471875
transcript.pyannote[56].end 330.61221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 338.71221875
transcript.pyannote[57].end 347.57159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 348.12846875
transcript.pyannote[58].end 390.68721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 391.04159375
transcript.pyannote[59].end 391.48034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 391.98659375
transcript.pyannote[60].end 392.40846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 392.81346875
transcript.pyannote[61].end 403.57971875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 404.20409375
transcript.pyannote[62].end 432.50346875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 432.70596875
transcript.pyannote[63].end 451.72409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 451.89284375
transcript.pyannote[64].end 452.44971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 452.88846875
transcript.pyannote[65].end 456.87096875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 457.30971875
transcript.pyannote[66].end 460.71846875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 461.08971875
transcript.pyannote[67].end 465.98346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 466.82721875
transcript.pyannote[68].end 484.02284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 484.25909375
transcript.pyannote[69].end 492.44346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 492.71346875
transcript.pyannote[70].end 498.24846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 499.02471875
transcript.pyannote[71].end 499.51409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 499.69971875
transcript.pyannote[72].end 502.01159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 502.21409375
transcript.pyannote[73].end 511.25909375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 511.69784375
transcript.pyannote[74].end 515.05596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 515.24159375
transcript.pyannote[75].end 518.80221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 519.20721875
transcript.pyannote[76].end 529.51784375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 530.46284375
transcript.pyannote[77].end 538.14096875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 538.27596875
transcript.pyannote[78].end 538.29284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 538.32659375
transcript.pyannote[79].end 540.70596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 541.19534375
transcript.pyannote[80].end 544.08096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 544.85721875
transcript.pyannote[81].end 545.27909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 546.61221875
transcript.pyannote[82].end 548.83971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 549.59909375
transcript.pyannote[83].end 550.84784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 551.42159375
transcript.pyannote[84].end 554.27346875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 554.50971875
transcript.pyannote[85].end 555.25221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 556.78784375
transcript.pyannote[86].end 556.80471875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 556.80471875
transcript.pyannote[87].end 556.99034375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 556.83846875
transcript.pyannote[88].end 557.39534375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 558.55971875
transcript.pyannote[89].end 559.63971875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 560.50034375
transcript.pyannote[90].end 561.12471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 564.88784375
transcript.pyannote[91].end 565.84971875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 566.25471875
transcript.pyannote[92].end 568.46534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 569.34284375
transcript.pyannote[93].end 570.72659375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 571.30034375
transcript.pyannote[94].end 572.07659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 572.88659375
transcript.pyannote[95].end 573.46034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 574.03409375
transcript.pyannote[96].end 574.77659375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 575.24909375
transcript.pyannote[97].end 576.86909375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 577.52721875
transcript.pyannote[98].end 580.51409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 580.81784375
transcript.pyannote[99].end 581.17221875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 581.17221875
transcript.pyannote[100].end 585.07034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 582.31971875
transcript.pyannote[101].end 586.89284375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 587.34846875
transcript.pyannote[102].end 589.66034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 590.40284375
transcript.pyannote[103].end 600.10596875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 600.40971875
transcript.pyannote[104].end 600.96659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 601.11846875
transcript.pyannote[105].end 602.21534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 602.90721875
transcript.pyannote[106].end 609.52221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 610.07909375
transcript.pyannote[107].end 612.79596875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 614.26409375
transcript.pyannote[108].end 630.46409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 631.71284375
transcript.pyannote[109].end 632.86034375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 633.26534375
transcript.pyannote[110].end 647.45721875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 647.64284375
transcript.pyannote[111].end 657.14346875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 657.59909375
transcript.pyannote[112].end 660.38346875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 660.73784375
transcript.pyannote[113].end 664.39971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 665.02409375
transcript.pyannote[114].end 668.56784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 667.87596875
transcript.pyannote[115].end 668.39909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 668.95596875
transcript.pyannote[116].end 670.50846875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 671.21721875
transcript.pyannote[117].end 671.85846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 672.83721875
transcript.pyannote[118].end 673.73159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 674.47409375
transcript.pyannote[119].end 675.14909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 675.63846875
transcript.pyannote[120].end 676.49909375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 676.49909375
transcript.pyannote[121].end 677.02221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 676.56659375
transcript.pyannote[122].end 678.67596875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 679.38471875
transcript.pyannote[123].end 679.82346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 680.21159375
transcript.pyannote[124].end 680.56596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 682.60784375
transcript.pyannote[125].end 683.85659375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 684.22784375
transcript.pyannote[126].end 685.39221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 685.79721875
transcript.pyannote[127].end 688.34534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 688.95284375
transcript.pyannote[128].end 690.04971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 690.47159375
transcript.pyannote[129].end 692.42909375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 693.82971875
transcript.pyannote[130].end 707.22846875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 707.70096875
transcript.pyannote[131].end 734.63346875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 730.09409375
transcript.pyannote[132].end 731.59596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 734.63346875
transcript.pyannote[133].end 735.34221875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 735.34221875
transcript.pyannote[134].end 754.95096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 735.44346875
transcript.pyannote[135].end 735.49409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 755.01846875
transcript.pyannote[136].end 755.03534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 755.05221875
transcript.pyannote[137].end 755.82846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 756.18284375
transcript.pyannote[138].end 758.44409375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 759.99659375
transcript.pyannote[139].end 760.48596875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 761.36346875
transcript.pyannote[140].end 764.62034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 764.82284375
transcript.pyannote[141].end 766.84784375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 767.37096875
transcript.pyannote[142].end 768.24846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 769.15971875
transcript.pyannote[143].end 771.80909375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 770.94846875
transcript.pyannote[144].end 805.35659375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 805.67721875
transcript.pyannote[145].end 824.59409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 825.25221875
transcript.pyannote[146].end 836.05221875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 831.93471875
transcript.pyannote[147].end 832.86284375
transcript.whisperx[0].start 0.851
transcript.whisperx[0].end 3.032
transcript.whisperx[0].text 謝謝主席辛苦了有請我們有備提名人有備提名人
transcript.whisperx[1].start 25.715
transcript.whisperx[1].end 35.483
transcript.whisperx[1].text 因為今天可能沒有機會每一位都追尋到但是我想這是難得的機會可以跟大家分享一些觀點我想破題非常清楚當政治越紛擾的時候
transcript.whisperx[2].start 37.484
transcript.whisperx[2].end 66.289
transcript.whisperx[2].text 中選會的選務就要越公正超越黨派而且要守憲合法這是每一個從政人員我們我想未來大家有機會如果通過同意權我們在宣誓的時候的誓詞就是於誓以至誠恪遵憲法效忠國家代表人民依法行使職權所以呢超越黨派跟守憲合法是重要的 夏燕
transcript.whisperx[3].start 68.342
transcript.whisperx[3].end 85.796
transcript.whisperx[3].text 我這邊列出來私藥自己認為的成功的選務的三要素他當然要是公正的他也是要效率的他更要能夠辨明這是選務成功的三要素我也認為中選會的委員的四個要件獨立行使職權
transcript.whisperx[4].start 87.137
transcript.whisperx[4].end 116.123
transcript.whisperx[4].text 基於專業而且要能夠公正更要首先合法我的選務三要素跟中選會委員的四要件我們未來的這個主委提名人游老師應當都認可吧有沒有補充的完全認可好謝謝我要跟您報告思堯在努力的面向不談政治中選會有很多可以做得更好導入design thinking不曉得老師您對於design thinking有什麼樣的理解
transcript.whisperx[5].start 118.721
transcript.whisperx[5].end 145.136
transcript.whisperx[5].text Design Thinking沒關係,我來替您說明好了賈伯斯曾經說Design is not how it looksDesign is about how it works也就是Design Thinking不只是大家說設計美學事實上它是以使用者為切入點讓整個事情更有效率而且可以解決問題
transcript.whisperx[6].start 146.67
transcript.whisperx[6].end 163.859
transcript.whisperx[6].text 所以我曾經呢因為台灣設計研究院是思堯在任內催生的一個新設的國家的組織透過設計的導入來攪動我們的公共政策也提升公共服務的效能跟品質所以設計院成立之後我們去跟很多部會敲敲門
transcript.whisperx[7].start 165.06
transcript.whisperx[7].end 179.609
transcript.whisperx[7].text 我也帶著設計院去向前主委李靖勇先生敲敲門希望能夠導入design thinking讓我們的選務更進步更親民更有效率所以這是我當時2021年拜訪李前主委的時候來下一頁
transcript.whisperx[8].start 181.127
transcript.whisperx[8].end 210.006
transcript.whisperx[8].text 而我們改變了什麼我希望未來的中選會的委員們都能夠持續來推動吳思瑤催生中選會CES設計院投入我們改革了選舉的很多的更進步更變明也更美學的這些做法第一個在投票動線的優化左邊是before右邊是after他更讓大家在有限的空間的移動更有效率就是design的導入
transcript.whisperx[9].start 211.807
transcript.whisperx[9].end 235.997
transcript.whisperx[9].text 他在選舉公報的優化上 過去我們很多人說選舉公報要在這裡寫字 排版就是非常的unfriendly所以我們找了設計師design thinking以後after是在後面非常清楚讓大家可以一覽所有候選人他的政見相關的學經歷這是設計導入的正向成果 下一頁
transcript.whisperx[10].start 237.659
transcript.whisperx[10].end 254.146
transcript.whisperx[10].text 設計導入呢還包括這些標識系統的革新越美越清晰不會永遠都是標開啟好不要永遠是中華民國美學而這樣的選舉美學我們獲得世界級的各自設計獎喔獲得亞洲最具影響力的設計獎喔
transcript.whisperx[11].start 257.467
transcript.whisperx[11].end 262.129
transcript.whisperx[11].text 也獲得台灣的經典設計獎喔所以我希望未來的委員們都能夠持續的來優化這些design thinking導入我們的選務下一頁當然還包括 圈選票處我們真的也讓它更簡潔 更俐落 更好看而不是數十年如一日我們小時候真的投票就是這樣到現在立法院自己的圈選票處還是長一樣
transcript.whisperx[12].start 282.637
transcript.whisperx[12].end 282.957
transcript.whisperx[12].text 我非常的
transcript.whisperx[13].start 302.141
transcript.whisperx[13].end 327.307
transcript.whisperx[13].text 因為司法委員剛剛有繞英文我覺得這個就是中選會未來需要的中選會未來需要我是一個進步改革主義者所以任何能夠進步能夠改革的都是好的事情選舉更有效率選舉更美學選舉更變明然後大家對於選舉去投開票所的心情可能也好起來很好
transcript.whisperx[14].start 329.307
transcript.whisperx[14].end 353.796
transcript.whisperx[14].text 讓我再講一句我沒有想到我在今天來立法院可以看到這些新的觀念我簡直是unbelievable所以立法院是有認真問政優質進步的立委而不是只有毀憲亂政的黨團很好下一頁當然不在即投票是今天的重點我剛剛講的選舉的三要素
transcript.whisperx[15].start 354.196
transcript.whisperx[15].end 368.57
transcript.whisperx[15].text 公正效率跟便民提案的民眾黨團顯然只著重在降低選民投票成成本的那個便民的思考但是對於公正性跟選舉的效率他會造成選務的混亂甚至影響秘密投票甚至
transcript.whisperx[16].start 369.25
transcript.whisperx[16].end 392.103
transcript.whisperx[16].text 也或多或少有境外借選風險增高的疑慮產生對於整個投票民主制度的信任危機所以呢絕對不能先求有再求好我們都支持行政院的版本您剛剛也說公投先行好這是我們共同立場我們希望未來大家一起來捍衛這樣子的做法下一頁而以
transcript.whisperx[17].start 392.918
transcript.whisperx[17].end 413.507
transcript.whisperx[17].text 我們行政院去徵詢了這些執行者選務機關的代表對於不在籍投票欠缺配套的狀況之下是all say no21縣市認為現在可以上路的是0個縣市甚至連民眾黨提案黨團他們自己執政的新竹市也認為不可能
transcript.whisperx[18].start 415.908
transcript.whisperx[18].end 423.815
transcript.whisperx[18].text 所以呢過半的縣市也都支持行政院的版本公投先行我希望我今天要多花一點時間為什麼要跟主席多爭取一點時間因為民眾黨團的不在即投票他們就是這一屆立法院的壞習慣近乎二讀啊
transcript.whisperx[19].start 432.862
transcript.whisperx[19].end 451.449
transcript.whisperx[19].text 委員會沒有討論啊直接不翼而覺啊很有可能這週搞不好禮拜五又拿出來表決了所以今天有這個機會跟大家討論我就是希望能夠把這些數據告訴國人告訴社會台灣沒有一個縣市的選務機關認為不在即投票現在可以上路
transcript.whisperx[20].start 451.989
transcript.whisperx[20].end 465.685
transcript.whisperx[20].text NO所以我們就要審慎公投先行是多數的共識下頁而我們以投票意願這是我做的其實台灣的選舉投票率都是七成以上
transcript.whisperx[21].start 467.046
transcript.whisperx[21].end 482.053
transcript.whisperx[21].text 對於這些已經有不在籍投票有不同的可能是電子郵票啊可能是境外投票不同的行使的這些不在籍投票的國家台灣的投票率都是高的除了南韓南韓有他這一次總統大選不同的
transcript.whisperx[22].start 482.413
transcript.whisperx[22].end 496.268
transcript.whisperx[22].text 政治社會經濟的背景所以說不在於投票並不是等同於高投票意願的這個思維我要在這裡論述在下一頁更重要的是未來這是大家的事情我們要辦一個讓人民滿意的選舉
transcript.whisperx[23].start 499.176
transcript.whisperx[23].end 513.305
transcript.whisperx[23].text 而你看看台灣目前選務的滿意度2024年總統立委選舉84%的人民滿意給各縣市的選委會跟中選會拍拍手2022地方選舉滿意度83.2%2020總統立委選舉滿意度86.9%
transcript.whisperx[24].start 519.289
transcript.whisperx[24].end 545.095
transcript.whisperx[24].text 唯一一次就是剛剛未來的這個主委候選人話說的災難的2018的那一次公投房大學滿意度是28不滿意度高達68.6%這更要讓我們看到人民的聲音好我跳到我最後一個主題好嗎對不起因為有民調專家我還是想問一下這一題主委
transcript.whisperx[25].start 546.813
transcript.whisperx[25].end 554.776
transcript.whisperx[25].text 我一直叫您主委 未來的主委您認為在台灣中共競選 境外勢力競選的嚴重嗎有這麼難回答嗎我坦白講作為一個嚴謹的政治學者來講我要回答的是說感覺上很嚴重
transcript.whisperx[26].start 574.202
transcript.whisperx[26].end 582.674
transcript.whisperx[26].text 事實上政府沒有找到非常多的證據來證明他很嚴重所以我覺得我們應該審慎評估這件事情證據在這裡
transcript.whisperx[27].start 588.945
transcript.whisperx[27].end 606.929
transcript.whisperx[27].text 看清楚法務部公布中國借選的手段境外資金的借選網路選舉的賭盤跟認知作戰假訊息的操作2024年被偵辦的依反滲透法的案件境外勢力借選117件287人這個不是證據嗎 主委 下一頁
transcript.whisperx[28].start 614.318
transcript.whisperx[28].end 627.471
transcript.whisperx[28].text 而國民黨黨主席的選舉是自己自家的人跳出來批評的我就不再贅述了中國的借選變本加厲我們就是要欲提從寬料敵從嚴下一頁
transcript.whisperx[29].start 631.735
transcript.whisperx[29].end 647.118
transcript.whisperx[29].text 各國都有韓國加拿大澳洲美國印度甚至在美國這種民主的國家中國可以利用製造假駕照的方式大量的協助中國的僑民去投票假駕照的方式
transcript.whisperx[30].start 647.759
transcript.whisperx[30].end 675.052
transcript.whisperx[30].text 所以世界各國面對中國的借選都在進行ING的防範主委我們不要掩耳盜鈴您是民調專家我問您一個專業的問題現在都有民調禁制期在選舉前公布的日期您覺得現在是幾天 您知道嗎10天您認為如果要調整同意嗎未嘗不可
transcript.whisperx[31].start 675.68
transcript.whisperx[31].end 692.174
transcript.whisperx[31].text 未嘗不可 那調整到幾天是可以接受的幾天好您的我尊重 台灣是民主社會現在國民黨立委要調變三天太危險啦 太危險啦我們回到前一頁
transcript.whisperx[32].start 693.888
transcript.whisperx[32].end 707.143
transcript.whisperx[32].text 我們看看喔中國受益記者與退休教授捏造9次不實民調遭判刑司法判刑張顯耀先生涉嫌受中國指示發布講民調介入選舉遭起訴這都是司法偵辦換言之為什麼66%民主國家有選舉的民
transcript.whisperx[33].start 711.127
transcript.whisperx[33].end 711.367
transcript.whisperx[33].text 太短
transcript.whisperx[34].start 735.525
transcript.whisperx[34].end 758.276
transcript.whisperx[34].text 太短嗎所以就專業論專業我覺得我們今天做一個非常好的示範沒有政黨立場我們超越黨派就專業論專業我們期待每一個委員都是獨立的專業的首先合法的以及能夠公正行使職權的最後一個提醒您提醒主席拍謝下一頁公投的那個這一個
transcript.whisperx[35].start 761.517
transcript.whisperx[35].end 767.795
transcript.whisperx[35].text 國民黨提出修公統法要用公民覆決來推翻憲判主委你認為呢
transcript.whisperx[36].start 769.415
transcript.whisperx[36].end 797.223
transcript.whisperx[36].text 這會是一個高度爭議性的問題所以我剛剛說中學會委員要守憲合法不問黨派守憲合法是基本的底線憲法78條司法院統一解釋憲法之權憲法訴訟法38條所有的憲法判決人民各機關都要服從而人民就包括公投行使的這些主體人民釋字185號也說明了不容挑戰用任何方式來推翻憲判
transcript.whisperx[37].start 798.263
transcript.whisperx[37].end 825.908
transcript.whisperx[37].text 公投法第2條也規定公投的實施要遵循憲法的規定我要提醒大家未來的立法院一再的毀憲亂政要用公投法的修正來凌駕憲法未來這個難題可能會落在各位委員你們在審查公投案的當下我要提醒不看黨派不看顏色守憲合法是我們每一個人宣誓就職
transcript.whisperx[38].start 826.721
transcript.whisperx[38].end 835.354
transcript.whisperx[38].text 的誓詞請大家謹記在心好謝謝游老師我今天多次稱呼您主委不好意思僭越了背題名人游盈隆先生我們一起加油謝謝