171 research outputs found

    ๊ตญ์ œ๋ฌด์—ญ ์ฒด์ œ์™€ ์—๋„ˆ์ง€ ๊ต์—ญ์˜ ๊ด€๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๊ตญ์ œ๋Œ€ํ•™์› ๊ตญ์ œํ•™๊ณผ, 2017. 8. ์•ˆ๋•๊ทผ.Abstract The gravity of energy trade has been increasing with a growing need of energy in every economic activities and every industries. International energy trade has become our norm. Growth and development of international energy trade intensified the need for a regulatory framework and led to inclusion of energy trade into the disciplines and rules of the world trading system. This paper examines energy trade in the multilateral regulatory frameworks within the world trading system and identifies how major multilateral trade agreements such as World Trade Organization agreements, North America Free Trade Agreement, and Energy Charter Treaty addressed energy trade. The three agreements are analyzed to compare what extent have each agreement integrated energy trade into their disciplines and how each organization treat energy trade depending on their organizations agenda, political dynamic, and social and economic factors.I. Introduction 1 1. History of Energy Trade Regulations 3 1-1. Shift in Energy Trade 3 1-2. Development of the World Trading System and Emergence of International Energy Regulations 5 2. Dimension of Energy Trade 7 3. Purpose of the Research 8 1-1. Defining Energy Trade 8 1-2. WTO vs NAFTA vs EC 9 II. Multilateral Trade Agreements and Energy Trade 11 1. WTO Agreements and Energy Trade 11 1-1. OPEC Member Countries WTO Accession 11 1-2. Architecture of WTO Agreements 12 1-3. WTO Rules Relevant to Energy Trade 13 1-4. Dispute Settlement at the WTO 22 1-5. Regulations of General Application and Related Issues 25 2. NAFTA and Energy Trade 25 1-1. NAFTA as WTO-plus 27 1-2. Architecture of NAFTA 29 1-3. NAFTA Rules Relevant to Energy Trade 29 3. Energy Charter and Energy Trade 34 1-1. Architecture of ECT 35 1-2. ECT Rules Relevant to Energy Trade 37 III. Discussion 41 IV. Conclusion 43Maste

    A Study on Spatial Detection Methodology for Influentials Information in LBSNS using Spatial Statistical Analysis Methods

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2014. 2. ์œ ๊ธฐ์œค.์ตœ๊ทผ ๋‹ค์–‘ํ•œ ์†Œ์…œ ๋ฏธ๋””์–ด(social media)์˜ ํ™œ์„ฑํ™”๋กœ ์ธํ•ด ์†Œ์…œ ๋„คํŠธ์›Œํฌ(social network)์ƒ์—์„œ ์ˆ˜๋งŽ์€ ์ž๋ฐœ์  ์ง€์ง€์ž๋“ค์„ ํ™•๋ณดํ•œ ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ์œ ๋ ฅ์ž(influential)๊ฐ€ ๋Œ€๋‘๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์†Œ์…œ ๋„คํŠธ์›Œํฌ์ƒ์—์„œ์˜ ์œ ๋ ฅ์ž๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ์—ฐ๊ตฌ๋“ค์ด ์ง„ํ–‰๋˜์–ด ์™”๊ณ , ๊ด€๋ จ ์„œ๋น„์Šค๊ฐ€ ์ œ๊ณต ์ค‘์— ์žˆ์œผ๋‚˜ ์ด๋“ค์€ ์œ ๋ ฅ์ž ๊ทœ๋ช…์— ์žˆ์–ด LBSNS(Location Based Social Network Service)๊ฐ€ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์œ„์น˜ ์ •๋ณด์— ๋Œ€ํ•œ ๋ฐ˜์˜์ด ๋ถ€์กฑํ•˜๋‹ค๋Š” ํ•œ๊ณ„์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ณต๊ฐ„ํ†ต๊ณ„๋ถ„์„๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ LBSNS ๋ฐ์ดํ„ฐ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋‹ค์–‘ํ•œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ด์Šˆ์— ๋Œ€ํ•œ ๋ฐœ์–ธ์— ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์ง€๋Š” ์œ ๋ ฅ์ž๋ฅผ ๊ณต๊ฐ„์ ์œผ๋กœ ํƒ์ƒ‰ํ•˜๊ณ , ์ด๋ฅผ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ํ˜„์žฌ ์ƒ์šฉ ์ค‘์ธ ์—ฌ๋Ÿฌ ์ข…๋ฅ˜์˜ LBSNS ์ค‘ ํŠธ์œ„ํ„ฐ(Twitter)๋ฅผ ๋ถ„์„ ๋Œ€์ƒ ๋ฐ์ดํ„ฐ๋กœ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ์„œ์šธ์‹œ๋ฅผ ๊ณต๊ฐ„์  ๋ฒ”์œ„๋กœ ํ•˜์—ฌ ํ•œ ๋‹ฌ ๋™์•ˆ ์ด 168,040๊ฑด์˜ ์œ„์น˜ ์ •๋ณด๊ฐ€ ํฌํ•จ๋œ ํŠธ์œ„ํ„ฐ ๋ฉ”์‹œ์ง€๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ธฐ์กด์˜ ๋‰ด์Šค ๋ถ„๋ฅ˜ ์ฒด๊ณ„๋ฅผ ์ฐจ์šฉํ•˜์—ฌ ์ •์น˜, ๊ฒฝ์ œ, IT๋ฅผ ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ฒ”์ฃผ๋กœ ์„ค์ •ํ•˜๊ณ , ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๊ธฐ๊ฐ„ ๋™์•ˆ ์ด์Šˆ๊ฐ€ ๋˜์—ˆ๋˜ ํ‚ค์›Œ๋“œ๋“ค์„ ์ฃผ์–ด์ง„ ๋ฒ”์ฃผ๋ณ„๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ‚ค์›Œ๋“œ์— ๋Œ€ํ•œ ์œ ๋ ฅ์ž๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ์ถœ๋„(exposure index)๋ฅผ ๋„์ถœํ•˜๊ณ , ์ด์— ๋Œ€ํ•ด ์„œ์šธ์‹œ์˜ ํ–‰์ •๋™์„ ๊ธฐ์ค€์œผ๋กœ ๊ณต๊ฐ„ ์กฐ์ธ(spatial join) ์—ฐ์‚ฐ์„ ์‹ค์‹œํ•จ์œผ๋กœ์จ ๊ฐ ํ‚ค์›Œ๋“œ์— ๋Œ€ํ•œ ํ–‰์ •๋™๋ณ„ ๋…ธ์ถœ๋„๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ–‰์ •๋™๋ณ„๋กœ ์‚ฐ์ถœ๋œ ๋…ธ์ถœ๋„์˜ ๊ณต๊ฐ„์  ์˜์กด์„ฑ(spatial dependence)์„ ๊ณ ๋ คํ•˜์—ฌ ์œ ๋ ฅ์ง€์ˆ˜(influential index)๋ฅผ ๋„์ถœํ•˜์˜€์œผ๋ฉฐ, ํ‚ค์›Œ๋“œ๋ณ„๋กœ ์ƒ์œ„์˜ ์œ ๋ ฅ์ง€์ˆ˜๋ฅผ ๋ณด์ด๋Š” ์ง€์—ญ์„ ์œ ๋ ฅ์ง€์—ญ(influential area)์œผ๋กœ ์ถ”์ถœํ•˜์—ฌ ์ด๋“ค์˜ ๊ณต๊ฐ„์ ์ธ ๋ถ„ํฌ ํŠน์„ฑ๊ณผ ํ‚ค์›Œ๋“œ๋“ค ๊ฐ„์˜ ๊ณต๊ฐ„์  ์ƒ๊ด€์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์—ฐ๊ตฌ ์„ฑ๊ณผ์— ๋Œ€ํ•œ ํ™œ์šฉ ๋ฐฉ์•ˆ์œผ๋กœ์„œ ๋‹ค์–‘ํ•œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ด์Šˆ์— ๋Œ€ํ•ด ์ „๋ฌธ์ ์ธ ๋ถ„์„์„ ์ œ๊ณตํ•˜๋Š” ์œ ๋ ฅ์ž ๋ถ„ํฌ ์ง€๋„ ๊ฒ€์ƒ‰ ์„œ๋น„์Šค๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค.1. ์„œ๋ก  1 1.1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ์—ฐ๊ตฌ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 3 2. ์ด๋ก ์  ๋…ผ์˜ ๋ฐ ๊ด€๋ จ ์—ฐ๊ตฌ 6 2.1. LBSNS 6 2.1.1. LBSNS์˜ ๊ฐœ๋… ๋ฐ ํŠน์ง• 6 2.1.2. LBSNS ๊ด€๋ จ ์—ฐ๊ตฌ 8 2.2. ์œ ๋ ฅ์ž 8 2.2.1. ์œ ๋ ฅ์ž์˜ ๊ฐœ๋… ๋ฐ ํŠน์ง• 8 2.2.2. ์œ ๋ ฅ์ž ๊ด€๋ จ ์—ฐ๊ตฌ 12 3. ์œ ๋ ฅ์ž ์ •๋ณด์˜ ๊ณต๊ฐ„์  ํƒ์ƒ‰๊ธฐ๋ฒ• 21 3.1. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ์ „์ฒ˜๋ฆฌ ๊ณผ์ • 21 3.1.1. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ 21 3.1.2. ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ 23 3.2. ๊ณต๊ฐ„ ์กฐ์ธ ์—ฐ์‚ฐ์„ ์ด์šฉํ•œ ํ–‰์ •๋™๋ณ„ ๋…ธ์ถœ๋„ ์„ค์ • 24 3.3. Local Morans I๋ฅผ ์ด์šฉํ•œ ์œ ๋ ฅ์ง€์ˆ˜ ์„ค์ • 25 3.4. Spatial Lag Pearsons r์„ ์ด์šฉํ•œ ๊ณต๊ฐ„์  ์ƒ๊ด€์„ฑ ๋ถ„์„ 29 4. ์‹คํ—˜ ์ ์šฉ ๋ฐ ๊ฒฐ๊ณผ 32 4.1. ํ‚ค์›Œ๋“œ๋ณ„ ์œ ๋ ฅ์ง€์ˆ˜ ์‚ฐ์ถœ ๋ฐ ์œ ๋ ฅ์ง€์—ญ ์ถ”์ถœ 32 4.1.1. ์ •์น˜ ๋ฒ”์ฃผ ํ‚ค์›Œ๋“œ 32 4.1.2. ๊ฒฝ์ œ ๋ฒ”์ฃผ ํ‚ค์›Œ๋“œ 37 4.1.3. IT ๋ฒ”์ฃผ ํ‚ค์›Œ๋“œ 41 4.2. ๋ฒ”์ฃผ๋ณ„ ์œ ๋ ฅ์ง€์ˆ˜ ์‚ฐ์ถœ ๋ฐ ์œ ๋ ฅ์ง€์—ญ ์ถ”์ถœ 47 4.3. ์œ ๋ ฅ์ง€์—ญ ๊ฐ„ ๊ณต๊ฐ„์  ์ƒ๊ด€์„ฑ ์ธก์ • 53 5. ์œ ๋ ฅ์ž ๋ถ„ํฌ ์ง€๋„ ๊ฒ€์ƒ‰ ์„œ๋น„์Šค ์ œ์•ˆ 55 6. ๊ฒฐ๋ก  64Maste

    ์‚ฐํฌ๋ฆฌ์Šคํ† ๋ฐœ๊ณผ ์น˜์•„ํŒŒ์Šค์˜ ํ–ฅ๊ธฐ๋ฅผ ์ฐพ์•„์„œ

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    2009๋…„ 1์›”์˜ ์–ด๋Š ๊ฒจ์šธ๋‚ , ์˜ค์•„ํ•˜์นด(Oaxaca)๋ฅผ ์ถœ๋ฐœํ•œ ์‚ฐํฌ๋ฆฌ์Šคํ† ๋ฐœ ๋ฐ ๋ผ์Šค์นด์‚ฌ์Šค(San Cristoฬbal de las Casas. ์ดํ•˜ ์‚ฐํฌ๋ฆฌ์Šคํ† ๋ฐœ์ด๋ผ๊ณ  ์•ฝ์นญํ•œ๋‹ค.) ํ–‰ ์•ผ๊ฐ„ ๋ฒ„์Šค๊ฐ€ ์ƒˆ๋ฒฝ ๊ณต๊ธฐ๋ฅผ ๊ฐ€๋ฅด๋ฉฐ ์น˜์•„ํŒŒ์Šค(Chiapas) ์ฃผ๋กœ ๋“ค์–ด์„ฐ๋‹ค. ๊ตฌ๋ฆ‰๋“ค ์‚ฌ์ด๋กœ ๋‚ฎ๊ฒŒ ๊น”๋ฆฐ ์•ˆ๊ฐœ ์ˆฒ ์œ„๋กœ ๋ถ‰์€์ƒ‰ ๊ธฐ์šด์„ ํฉ๋ฟŒ๋ฆฌ๋ฉฐ ์•„์นจ ํ•ด๊ฐ€ ์Šค์‚ฐํ•œ ๋ชจ์Šต์œผ๋กœ ๋– ์˜ฌ๋ž๋‹ค. ์ƒ์ƒ ์†์—์„œ ๊ทธ๋ ค ์™”๋˜ ์น˜์•„ํŒŒ์Šค์˜ ๋ชจ์Šต๋„ ๋จธ๋ฆฟ์†์— ํ•จ๊ป˜ ์ฐจ์˜ฌ๋ž๋‹ค. ๊ฐ€์Šด๋„ ๊ฐ€๋ณ๊ฒŒ ๋›ฐ๊ณ  ์žˆ์—ˆ๋‹ค

    ์ง์—…๊ณ„๊ณ  ์ง€์—ญ ๋ถ„ํฌ์™€ ์ง์—…๊ต์œก ๊ธฐํšŒ

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    ๊ฐ•์›, ์ „๋‚จ ๋“ฑ ์‹œยท๊ตฐยท๊ตฌ ๋‹จ์œ„์—์„œ ์ง์—…๊ณ„๊ณ ๊ฐ€ ์„ค์น˜๋˜์ง€ ์•Š์€ ์ผ๋ถ€ ์‹œยท๋„์˜ ๊ฒฝ์šฐ, ๊ธธ์–ด์ง„ ํ†ตํ•™๊ฑฐ๋ฆฌ๋กœ ์ธํ•ด ํ•™์ƒ๊ณผ ํ•™๋ถ€๋ชจ์˜ ๋ถ€๋‹ด์ด ๋ฐœ์ƒํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ง€์—ญ ์‚ฐ์—…์ฒด ๋˜ํ•œ ์ธ๊ทผ ์ง€์—ญ ๋‚ด ์ˆ™๋ จ ๊ธฐ์ˆ  ์ธ์žฌ ํ™•๋ณด์— ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ์Œ. ๊ฒฝ๊ธฐ ๋“ฑ ์ผ๋ถ€ ์ˆ˜๋„๊ถŒ ์ง€์—ญ์˜ ๊ฒฝ์šฐ ํ•™์ƒ ์ž์›์€ ๋น„๊ต์  ํ’๋ถ€ํ•œ ํŽธ์ด๋‚˜ ์ผ๋ฐ˜๊ณ  ์„ ํ˜ธ ํ˜„์ƒ์œผ๋กœ ์‹ ๋„์‹œ์— ์ง์—…๊ณ„๊ณ ๋ฅผ ์„ค์น˜ํ•˜๋Š” ๋ฐ ์–ด๋ ค์›€์ด ์žˆ์Œ. ๊ฐ•์› ๋“ฑ ์ผ๋ถ€ ์‹œยท๋„ ์ง€์—ญ์—์„œ๋Š” ์ง์—…๊ณ„๊ณ  ์ง€์—ญ ํŽธ์ค‘ ํ˜„์ƒ์œผ๋กœ ์ธํ•ด ICT๋‚˜ ๋””์ž์ธ๊ณผ ๊ฐ™์ด ์ธ๊ธฐ ์žˆ๋Š” ํ•™๊ณผ์˜ ์ง์—…๊ต์œก์„ ๋ฐ›์„ ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๊ฐ€ ์ œํ•œ๋˜์–ด ์žˆ์Œ.In some provinces, such as Gangwon-do and Jeollanam-do, where vocational high school has not been established at the district or city level, the students and parents are burdened due to the long distance to schools, and the local industries also have difficulties in securing skilled workers. In some metropolitan areas, such as Gyeonggi-do, although the number of students is relatively high, it is difficult to set up vocational high schools in new cities due to the preference for general high schools. In some cities and provinces, including Gangwon-do, there are limited opportunities for students to be enrolled in popular vocational courses, such as ICT and design, due to the regional bias of vocational high schools. *The full-text is available in Korean only

    ์ง€๋‚œ 10๋…„๊ฐ„ OECD ๊ตญ๊ฐ€์˜ ์ค‘๋“ฑ๋‹จ๊ณ„ ์ง์—…๊ณ„๊ณ  ํ•™์ƒ ๋น„์ค‘ ๋ณ€ํ™” ๋ถ„์„๊ณผ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๋Œ€์‘ ๋ฐฉ์•ˆ

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    2015๋…„ ์ง์—…๊ณ„๊ณ  ์ž…ํ•™์ •์›์€ 11๋งŒ 3์ฒœ ๋ช…์œผ๋กœ, ์ „์ฒด ํ•™์ƒ์˜ 19.0%๋ฅผ ์ฐจ์ง€ํ•จ. ์šฐ๋ฆฌ๋‚˜๋ผ ์ค‘๋“ฑ๋‹จ๊ณ„ ์ง์—…๊ณ„๊ณ  ํ•™์ƒ ๋น„์ค‘์€ OECD ํ‰๊ท (49.1%)๋ณด๋‹ค ๋‚ฎ์€ 16.7%๋กœ ์ตœํ•˜์œ„ ์ˆ˜์ค€์ด๋ฉฐ, ๋‹ค๋ฅธ OECD ๊ตญ๊ฐ€์— ๋น„ํ•ด ์ง€๋‚œ 10๋…„ ๊ฐ„ ์ค‘๋“ฑ๋‹จ๊ณ„ ์ง์—…๊ณ„๊ณ  ํ•™์ƒ ๋น„์ค‘์˜ ํ•˜๋ฝํญ์ด ํผ. 2015๋…„ ์ง์—…๊ณ„๊ณ  ์ž…ํ•™ ์ˆ˜์š”๋Š” 14๋งŒ 7์ฒœ ๋ช…(24%)์œผ๋กœ ์•ฝ 3๋งŒ 1์ฒœ ๋ช…์˜ ์ดˆ๊ณผ ์ˆ˜์š”๊ฐ€ ์กด์žฌํ•จ. ์ค‘์žฅ๊ธฐ ์ธ๋ ฅ์ˆ˜๊ธ‰์ „๋ง์— ๋”ฐ๋ฅด๋ฉด ๊ณ ์กธ ์ˆ˜์ค€์˜ ๊ธฐ์ˆ ยท๊ธฐ๋Šฅ ์ธ๋ ฅ ํ™•๋ณด์— ์–ด๋ ค์›€์ด ์žˆ์œผ๋‚˜ ์ง์—…๊ณ„๊ณ  ํ•™์ƒ ์ˆ˜๋Š” ์ง€์†์ ์œผ๋กœ ๊ฐ์†Œํ•˜๊ณ  ์žˆ์Œ.In Korea, the total number of students who enrolled in vocational high schools in 2015 was 113,000, accounting for 19.0% of whole students. The proportion of vocational high school students in Korea is 16.7% which is lower than the OECD average of 49.1%, and its declining rate is higher than other OECD countries. In 2015, 147,000(24%) places were in demand for vocational high school admissions, suggesting that there was an excess demand of about 31,000 places. According to the mid to long-term skills supply/demand forecast, although there are difficulties in securing skilled workers and technicians at high school graduate level, the number of vocational high school students has been decreasing continuously. *The full-text is available in Korean only

    Building A Cyberinfrastructure Based Research-Education Linkage Environment

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    ๋ณธ ๋…ผ๋ฌธ์€ ์—ฐ๊ตฌ๊ฐœ๋ฐœ๊ณผ ์ด๊ณต๊ณ„ ๊ณ ๋“ฑ๊ต์œก์˜ ์ƒํ˜ธ ์—ฐ๊ณ„๋ฅผ ํ†ตํ•œ ์‹œ๋„ˆ์ง€ ๊ทน๋Œ€ํ™”๋ฅผ ์œ„ํ•œ ์‚ฌ์ด๋ฒ„ ์ธํ”„๋ผ์ŠคํŠธ๋Ÿญ์ฒ˜์— ๊ธฐ๋ฐ˜ํ•œ ์ฐจ์„ธ๋Œ€ ์—ฐ๊ตฌใ†๊ต์œก ์œตํ•ฉํ™˜๊ฒฝ์˜ ๊ตฌ์ถ•๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ ์ž ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ตญ๊ฐ€ R&D ์‚ฌ์—…์„ ํ†ตํ•˜์—ฌ ์ƒ์„ฑ ๋ฐ ์ถ•์ ๋œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ด๊ณต๊ณ„ ๋Œ€ํ•™ ๋ฐ ๋Œ€ํ•™์›์˜ ๊ต์œก ํ˜„์žฅ์— ์ง์ ‘ ์—ฐ๊ณ„์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ๋งˆ๋ จํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋จผ์ € ์‚ฌ์ด๋ฒ„์ธํ”„๋ผ ๊ธฐ๋ฐ˜์˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ํŒจ๋Ÿฌ๋‹ค์ž„์˜ ๋ณ€ํ™”๋ฅผ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ์ด์–ด์„œ ์—ฐ๊ตฌ์„ฑ๊ณผ๋ฅผ ๊ต์œก์— ํ™œ์šฉํ•˜์—ฌ ์—ฐ๊ตฌ๊ณผ ๊ต์œก์˜ ์œตํ•ฉ์„ ๋„๋ชจํ•œ ๋ชจํ˜•๊ณผ ์‚ฌ๋ก€๋“ค์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•ด์„œ ์šฐ๋ฆฌ๋‚˜๋ผ ์‹ค์ •์— ์ ํ•ฉํ•œ ์—ฐ๊ตฌใ†๊ต์œก ์œตํ•ฉํ™˜๊ฒฝ ์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•˜์˜€๊ณ , e-AIRS์˜ ์‚ฌ๋ก€๋ฅผ ๋“ค์–ด์„œ ๊ตฌ์ฒด์ ์œผ๋กœ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ด๋Ÿฌํ•œ ์‚ฌ์—…์„ ์ถ”์ง„ํ•˜๊ธฐ ์œ„ํ•œ ์ •์ฑ…์  ๊ณผ์ œ๋“ค์„ ๋…ผ์˜ํ•˜์˜€๋‹ค.This study purposes to suggest a next generation research and education environment which is possible by the linkage of two sectors based on cyberinfrastructure. It is to design a new research-education linkage system which can apply the results of R&D to the higher education in natural science and engineering areas. Literatures were reviewed on new paradigms of R&D triggered by the advent of cyberinfrastrcuture. A couple of overseas and domestic cases of such paradigm were introduced. With the backgrounds of case studies and theoretical models, a new research-education linkage environment system was suggested. Specially e-AIRS system was introduced as an example of new model in Korea. In addition, some policy issues were discussed as related to the successful promotion of such programs.OAIID:oai:osos.snu.ac.kr:snu2010-01/102/0000004648/4SEQ:4PERF_CD:SNU2010-01EVAL_ITEM_CD:102USER_ID:0000004648ADJUST_YN:NEMP_ID:A001138DEPT_CD:446CITE_RATE:0FILENAME:์‚ฌ์ด๋ฒ„์ธํ”„๋ผ_๊ธฐ๋ฐ˜์˜_์—ฐ๊ตฌใ†๊ต์œก_์œตํ•ฉํ™˜๊ฒฝ์˜_๊ตฌ์ถ•๋ฐฉ์•ˆ.pdfDEPT_NM:๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€EMAIL:[email protected]_YN:NCONFIRM:
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