簡易檢索 / 詳目顯示

研究生: 林祈昱
Lin, Chi-Yu
論文名稱: 藝術大數據分析:ArtCOP的網路文字探勘
When Big Data Meets Art: A Text Mining Analysis of ArtCOP
指導教授: 蘇瑤華
Su, Yao-Hua
口試委員: 蘇瑤華
Su, Yao-Hua
謝東儒
Hsieh, Tung-Ju
何宗武
Ho, Tsung-Wu
口試日期: 2024/10/22
學位類別: 碩士
Master
系所名稱: 美術學系藝術行政暨管理碩士在職專班
Department of Fine Arts_Continuing Education Master's Program of Arts Administration and Management
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 123
中文關鍵詞: 文字探勘氣候賦權運動締約方會議聯合國氣候變遷秘書處藝術行動主義
英文關鍵詞: text mining, Action for Climate Empowerment, COP, UNFCCC secretariat, artivism
研究方法: 個案研究法文字探勘大數據分析
DOI URL: http://doi.org/10.6345/NTNU202500048
論文種類: 學術論文
相關次數: 點閱:44下載:2
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 氣候緊急是全球關注的議題,「ArtCOP」是指與全球氣候治理最高決策機構「締約方會議」(Conference of the Parties, COP)相關的藝術活動與創作。為了探討COP官方對於藝術的討論涵蓋了哪些具體內容、呈現出何種發展趨勢?本研究以負責COP議程、會議資料、專業技術報告的《聯合國氣候變化綱要公約》秘書處(UNFCCC Secretariat,也稱UN Climate Change)官方網站作為研究對象。
    本研究經由蒐集官網上所有與藝術相關的網路文章,進行編碼、統計分析和文字探勘,發現官網上與藝術相關的文章最早出現在2003年,說明自1992年UNFCCC簽署後超過十年才開始有藝術相關的討論。總體來說,官方以五種型式討論藝術:演說、文件、UN新聞稿、媒體報導、活動訊息;討論的內容方面可歸納為三大領域共11個細項,分別是「藝術創作領域」的攝影、繪畫、錄像或電影、文學或地方傳說、科技藝術、音樂或歌舞、裝置或建築、設計或服裝;「藝術活動領域」的COP會議流程或安排、工作坊或展覽,以及「藝術政策領域」的政策方針。在這三大領域中,又以藝術政策的討論最多,說明UNFCCC傾向把藝術作為政策溝通的媒介、政策倡議的工具。
    進一步探討本研究關心的核心詞頻,發現代表氣候賦權行動的「ACE」(Action for Climate Empowerment)排名第93,強調敘事性的「story」僅居第128。這些字詞的熱度不高,顯示UNFCCC在透過藝術擴大公眾參與以及用故事進行氣候變遷的有效溝通上,還有進一步努力的空間。
    本研究經由「文本共現網絡」和「N-gram語言模型」,發現UNFCCC在藝術相關文章中採取了一種強調行動與合作的特定論述策略,高頻使用 “initiative”, "action," "world," "global," "Paris" 等詞彙,較少使用 "carbon," "emission," "energy," "solutions" 等科學專業術語,且經常連帶使用帶有鼓舞性和希望感的字詞。這些詞彙共同構建了一個關於全球合作、人類行動和永續發展的論述框架。
    情緒分析發現UNFCCC秘書處官網藝術相關文章並沒有那麼強烈的主觀性,有38.1%的文章情感值介於主觀與客觀之間的「0.40~0.54」,且有隨著時間更集中趨向客觀的趨勢,2024年後已經沒有分散式的極端點狀分布。「情感極性」分析顯示有超過93%的文章屬於正面情感,但值得注意的是,雖然2017年後文章的正面情緒趨緩,但負面情緒的值並沒有明顯趨緩。最後,在本研究發現的基礎上,針對藝術實踐者、政策規劃者、藝術研究者提出相關建議。

    Climate emergency is a global concern, and "ArtCOP" refers to art activities and creations related to the Conference of the Parties (COP), the highest decision-making body for global climate governance. To explore what specific content is covered in the official COP discussions on art and what development trends are presented, this study focuses on the official website of the United Nations Framework Convention on Climate Change (UNFCCC) Secretariat (also known as UN Climate Change), which is responsible for COP agendas, meeting documents, and technical reports.
    By collecting all art-related online articles from the official website, this study conducts coding, statistical analysis, and text mining. Overall, the official website discusses art in five formats: speeches, documents, UN press releases, news, events. In terms of content, the discussions can be categorized into three main areas with 11 sub-items: "Artistic Creation," including photography, painting, film, literature, technological art, music, installation or architecture, and design; "Artistic Activities," including COP procedures and fairs; and "Artistic Policy". Among these three areas, Artistic Policy is the most discussed, indicating that the UNFCCC tends to use art as a medium for policy communication and a tool for policy advocacy.
    Further exploring the word frequency of the core terms of interest in this study, it was found that "ACE", representing climate empowerment action, ranked 93rd, and "story," emphasizing narrative, ranked only 128th. The low frequency of these terms suggests that the UNFCCC has room for further efforts in expanding public participation through art and using stories for effective communication about climate change.
    Through "text co-occurrence network" and "N-gram language model" analysis, this study found that the UNFCCC adopts a specific discourse strategy in art-related articles that emphasizes action and cooperation, frequently using words such as "initiative," "action," "world," "global," and "Paris," while less frequently using scientific and technical terms such as "carbon," "emission," "energy," and "solutions," and often using words with encouraging and hopeful connotations. These words collectively construct a discourse framework about global cooperation, human action, and sustainable development.
    Sentiment analysis revealed that the art-related articles on the UNFCCC Secretariat's official website do not exhibit strong subjectivity. 38.1% of the articles have a sentiment subjectivity value between "0.40 and 0.54," falling between subjective and objective, with a trend towards greater objectivity over time, and no scattered extreme point distribution after 2024. "Sentiment polarity" analysis shows that more than 93% of the articles have positive sentiment. However, it is worth noting that while the positive sentiment of the articles has eased after 2017, the negative sentiment values have not shown a significant decrease. Finally, based on the findings of this study, relevant recommendations are made for art practitioners, policymakers, and art researchers.

    第一章、緒論 1 第一節、研究緣起 1 一、全球氣候緊急的現況與趨勢 2 二、COP的角色 7 第二節、研究問題與目的 12 一、研究問題 12 二、研究目的 15 第三節、研究方法與流程 17 一、網路文字探勘 17 二、研究限制 20 三、預期效益 21 第二章、文獻探討 23 第一節、ArtCOP相關研究 23 一、藝術與氣候變遷 23 二、COP會展活動的辦理 27 第二節、氣候藝術與大數據分析 34 一、藝術領域的大數據應用 34 二、氣候領域的大數據應用 37 第三章、UNFCCC秘書處ArtCOP資料蒐集與統計 43 第一節、資料蒐集和編碼 43 一、資料蒐集 43 二、資料編碼 45 第二節、敘述統計分析 48 一、ArtCOP相關文章的數量及時間 48 二、ArtCOP相關文章的類型及字數 51 三、ArtCOP相關文章的藝術項目 67 第四章、UNFCCC秘書處ArtCOP的文字探勘 71 第一節、ArtCOP的熱詞分析 71 第二節、ArtCOP的字詞關連性分析 82 第三節、ArtCOP的情緒分析 87 第五章、研究發現與建議 96 第一節、研究發現 96 第二節、相關建議 102 六、結論 109 參考書目 113

    一、英文資料
    Abdous, M. H., & He, W. (2011). Using text mining to uncover students' technology-related problems in live video streaming. British Journal of Educational Technology, 42(1), 40-49. https://doi.org/10.1111/j.1467-8535.2010.01091.x
    Alvesson, M., & Sköldberg, K. (2003). Reflexive methodology: New vistas for qualitative research. Sage Publications.
    Architecture for REDD+ Transactions Website. (2024). Attracting new investment to protect and restore forests. Retrieved July 24, 2024, from https://www.artredd.org/
    Babayev, H. E. M. (2024, July 17). In solidarity for a green world. https://unfccc.int/sites/default/files/resource/COP29_President%20Designate_First%20Letter%20to%20Parties%20and%20observer%20States.pdf
    BBC. (2019, December 3). COP25: WWF and Prado Museum use art to show climate change. Retrieved from https://www.bbc.com/news/world-europe-50646625
    Berry, J. (2021). Visualization of scientific image data as art data. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (pp. 217-232). Auerbach Publications.
    Carlucci, D., Schiuma, G., & Santarsiero, F. (2021). Toward a data-driven world: Challenges and opportunities in arts and humanities. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (pp. 27-44). Auerbach Publications.
    Chaplain, J. (2024). Storytelling and worldmaking climate justice futures: Indigenous climate advocacy and transnational solidarity in UN climate conferences. Quarterly Journal of Speech. https://doi.org/10.1080/00335630.2024.2315043
    Choi, C., & Lee, J. (2022). Big-data-based text mining and social network analysis of landscape response to future environmental change. Land, 11(12), 2183.
    Chowdhury, G. G. (2003). Natural language processing. Annual Review of Information Science and Technology, 37(1), 51-89. https://doi.org/10.1002/aris.1440370103
    Climate Outreach. (2018). Principles for effective communication and public engagement on climate change: A Handbook for IPCC authors. Retrieved from https://www.ipcc.ch/site/assets/uploads/2017/08/Climate-Outreach-IPCC-communications-handbook.pdf
    COP 28 UAE. (2023a). Visit COP28 green zone. Retrieved from https://www.cop28.com/en/green-zone
    COP 28 UAE. (2023b). Visit COP28 blue zone. Retrieved from https://www.cop28.com/en/blue-zone
    Copernicus Climate Change Service, C3S. (2024, January 9). Copernicus: 2023 is the hottest year on record, with global temperatures close to the 1.5°. Retrieved from https://climate.copernicus.eu/copernicus-2023-hottest-year-record
    Copernicus Climate Change Service, C3S. (2024, July 25). New record daily global average temperature reached in July 2024. Retrieved from https://climate.copernicus.eu/new-record-daily-global-average-temperature-reached-july-2024
    Culture@COP27 (2023). Website: https://www.climateheritage.org/cop27-home
    Danto, A. C. (1994). Embodied meaning: Critical essays & aesthetic meditations. Farrar, Straus and Giroux.
    Danto, A. C. (2002). From philosophy to art criticism. American Art, 16(1), 14-17.
    Das, S., Bhuyun, U. C., Panda, B. S., & Patro, S. (2016, September-October). Big data analysis and challenges. International Journal of Engineering and Management Research, 6(5), 203-207.
    Duan, R., Zwickle, A., & Takahashi, B. (2017). A construal-level perspective of climate change images in US newspapers. Climatic Change, 142, 345–360. https://doi.org/10.1007/s10584-017-1954-0
    Eilam, E. (2022). Climate change education: The problem with walking away from disciplines. Studies in Science Education, 58(2), 231–264. https://doi.org/10.1080/03057267.2021.2011589
    Ellerton, C. (2021). Toward a data culture in the cultural and creative industries. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (Ch. 10). Auerbach Publications.
    Eschrich, J., & Finn, E. (2023). The Climate Action Almanac. MIT Press.
    Experiments with Google. (2024). Heartbeat of the Earth. Experiments with Google. Retrieved July 24, 2024, from https://experiments.withgoogle.com/collection/heartbeat-earth
    Forde, C. (2021, August 18). “Can you not hear the voices in the fires?” The Race to Resilience. Retrieved from https://climatechampions.unfccc.int/dear-leaders-can-you-not-hear-the-voices-in-the-fires/
    Garrett, I. (2010). Representing the natural world. CSPA Quarterly, Winter 2010 (Issue on International Eco-Policy and Its Relationship to Art & Culture), 9. Center for Sustainable Practice in the Arts.
    Gavin, F., & Bieber, A. (2021, November). The art of protest: Political art and activism. Gestalten.
    Gee, J. P. (1999). An introduction to discourse analysis: Theory and method. Routledge.
    Germanwatch. (2021, January 25). Global climate risk index. Retrieved from https://www.germanwatch.org/en/19777
    Gilmore, A., Arvanitis, K., & Albert, A. (2021). "Never mind the quality, feel the width": Big data for quality and performance evaluation in the arts and cultural sector and the case of "culture metrics." In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (Ch. 3). Auerbach Publications.
    Gizzi, F. T., Murgante, B., Biscione, M., Danese, M., Sileo, M. R., Potenza, M. R., & Masini, N. (2021). Mobile technology to contribute operatively to the safeguard of cultural heritage. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (Ch. 14). Auerbach Publications.
    Google Arts & Culture. (2024). Artistic experiments exploring climate data. Retrieved July 24, 2024, from https://artsandculture.google.com/story/dAURnqK6udbDWA
    Hassani, H., & Beneki, C. (2020, January 6). Text mining in big data analytics. Big Data and Cognitive Computing, 4(1), 1. https://www.mdpi.com/2504-2289/4/1/1
    Hawkins, E. (2024). Warming stripes. Climate Lab Book. Retrieved August 30, 2024, from https://www.climate-lab-book.ac.uk/2018/warming-stripes/
    Hawkins, R. A. (2021). Use of big data in historical research. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (Ch. 7). Auerbach Publications.
    ICPAC. (2023, October 19). How can art amplify efforts to address climate change? Medium. Retrieved from https://icpac.medium.com/how-can-art-amplify-efforts-to-address-climate-change-7d775b261f08
    Intergovernmental Panel on Climate Change (IPCC). (2020, March 12). Global warming of 1.5°C. Retrieved from https://www.ipcc.ch/sr15/download/
    International Energy Agency (IEA). (2023). Net zero roadmap: A global pathway to keep the 1.5 °C goal in reach (2023 update). Retrieved from https://iea.blob.core.windows.net/assets/9a698da4-4002-4e53-8ef3-631d8971bf84/NetZeroRoadmap_AGlobalPathwaytoKeepthe1.5CGoalinReach-2023Update.pdf
    Jessica, D. (2023, April 13). New interactive climate art installation made of 700 bees opens at Westgate in Oxford. Swindon Link. Retrieved from https://swindonlink.com/lifestyle/swarm-climate-art-installation-oxford/
    Laney, D. (2001). 3D data management: Controlling data volume, velocity, and variety. Application Delivery Strategies. Gartner.
    Lohr, S. (2012, August 11). How big data became so big. The New York Times. Retrieved from https://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.html
    Lohr, S. (2012, February 11). The age of big data. The New York Times. https://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html
    Mai, L., & Elsässer, J. P. (2022). Orchestrating global climate governance through data: The UNFCCC Secretariat and the Global Climate Action Platform. Global Environmental Politics, 22(4), 151-172. https://doi.org/10.1162/glep_a_00667
    Makower, J. (2023, February 13). The incredible shrinking world of sustainability communications. GreenBiz. https://www.greenbiz.com/article/incredible-shrinking-world-sustainability-communications
    Markusen, A. (2011). California's arts and cultural ecology. Markusen Economic Research. https://www.irvine.org/wp-content/uploads/CA_Arts_Ecology_2011Sept20.pdf
    McKenzie, M. (2021). Climate change education and communication in global review: Tracking progress through national submissions to the UNFCCC Secretariat. Environmental Education Research, 27(5), 631-651. https://doi.org/10.1080/13504622.2021.1903838
    Michel, J. B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., Google Books Team, Pickett, J. P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M. A., & Aiden, E. L. (2011). Quantitative analysis of culture using millions of digitized books. Science (New York, N.Y.), 331(6014), 176-182. https://doi.org/10.1126/science.1199644
    Milosch, J., Kurtz, M. J., Jansen, G. J., Hull, A., & Marciano, R. (2021). Museums, archives, and universities—Structuring future connections with big data. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (pp. 241-258). Auerbach Publications.
    Moeschler, O., Nikoghosyan, N., Riom, L., Sahakian, M., & Schwegler, G. (2020). Introduction: Sustainability through Art, and vice-versa. Reflections Reflections on the Conference. Sustainable Consumption Research and Action Initiative, SustainableConsumptionTransitionsSeries. Issue 8.
    Monroe, M. C., Plate, R. R., Oxarart, A., Bowers, A., & Chaves, W. A. (2017). Identifying effective climate change education strategies: A systematic review of the research. Environmental Education Research, 25(6), 791-812.
    Newman, R., & Noy, I. (2023). The global costs of extreme weather that are attributable to climate change. Nature Communications, 14, 6103. https://doi.org/10.1038/s41467-023-41888-1
    Niederer, S. (2021). The Study of Networked Content: Five Considerations for Digital Research in the Humanities. In G. Schiuma & D. Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice (pp. 137-152). Auerbach Publications. (Chapter 8)
    Nisbet, M. C., & Scheufele, D. A. (2009). What's next for science communication? Promising directions and lingering distractions. American Journal of Botany, 96(10), 1767-1778. https://doi.org/10.3732/ajb.0800276
    Nordensvard, J., & Ketola, M. (2022). Populism as an act of storytelling: Analyzing the climate change narratives of a political figure and Greta Thunberg as populist truth-tellers. Environmental Politics, 31(5), 861-882.
    Perazzini, F. (2021). The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies. In G. Schiuma & D. Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice (pp. 153-168). Auerbach Publications. (Chapter 9)
    Relyea, L. (2003). All Over and Art Once. In R. Rubenstein (Ed.), Critical Mess: Art Critics on the State of Their Practice (pp. 185-199). Hard Press.
    Resilience Hub Website (2024). https://climatechampions.unfccc.int/un-climate-change-high-level-champions/ (Accessed July 18, 2024)
    Rippon, J. (2022). The Art of Protest: A Visual History of Dissent and Resistance. Imagine Publishing.
    Shareef, J., Farrell, M., & Gerlach-Hansen, O. (2010, August 9). How a ‘spiral of engagement’ of Culture, Sustainability & Policy intends to create an Ecological Age by 2050. The Center for Sustainable Practice in the Arts. Retrieved from https://www.sustainablepractice.org/2010/08/09/culture-futures/
    Sholette, G. (2022). The Art of Activism and the Activism of Art. London: Lund Humphries Publishers Ltd.
    Smith, J. (2021). Toward "Big Data" in Museum Provenance. In G. Schiuma & D. Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice (pp. 69-84). Auerbach Publications. (Chapter 4)
    Sommer, L. K., & Klöckner, C. A. (2021). Does activist art have the capacity to raise awareness in audiences? A study on climate change art at the ArtCOP21 event in Paris. Psychology of Aesthetics, Creativity, and the Arts, 15(1), 60-75.
    Stevens, C. (2021). Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work. In G. Schiuma & D. Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice (pp. 189-204). Auerbach Publications. (Chapter 11)
    Stewart-Hall, R., & King, M. (2021). Artists, Data, and Agency in Smart Cities. In G. Schiuma & D. Carlucci (Eds.), Big Data in the Arts and Humanities: Theory and Practice (pp. 259-274). Auerbach Publications. (Chapter 15)
    Stiell, S. (2024, February 2). From Vision to Reality, Getting the Job Done: Executive Secretary Speech. https://unfccc.int/news/from-vision-to-reality-getting-the-job-done-executive-secretary-speech
    Thayyib, P. V., & Mamilla, R. (2023). State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: A bibliometric summary. Sustainability, 15(5), 4026. https://doi.org/10.3390/su15054026
    The CEO Views (2019, March 14). The art and science of big data analysis. https://theceoviews.com/the-art-and-science-of-big-data-analysis/
    The World Commission on Environment and Development (WCED) (1987). Our Common Future, From One Earth to One World. https://sustainabledevelopment.un.org/content/documents/5987our-common-future.pdf
    UN Climate Change secretariat. (2017). Annual Report Momentum for Change 2017. https://unfccc.int/resource/mfc2017/
    UN Climate Change Secretariat. (2024, May 3). Frequently asked questions about side events and exhibits. https://seors.unfccc.int/applications/seors/seors/pdf/seors_faq.pdf
    UNFCCC secretariat. (2020). A Handbook for Hosting UNFCCC. https://unfccc.int/sites/default/files/resource/How-to-COP_2020.pdf
    UNFCCC secretariat. (2024a). How COPs are organized - Questions and answers. https://unfccc.int/process-and-meetings/conferences/the-big-picture/what-are-united-nations-climate-change-conferences/how-cops-are-organized-questions-and-answers
    UNFCCC secretariat. (2024b). About the secretariat. https://unfccc.int/about-us/about-the-secretariat
    UNFCCC. (1997). Kyoto Protocol to the United Nations Framework Convention on Climate Change. https://unfccc.int/documents/2409
    UNFCCC. (2009). Copenhagen Accord. https://unfccc.int/resource/docs/2009/cop15/eng/l07.pdf
    UNFCCC. (2017, April 7). Bringing climate action art to Asian wetlands. https://unfccc.int/news/bringing-climate-action-art-to-asian-wetlands
    UNFCCC. (2017, October 10). COP23 Excursions Programme for Participants. https://unfccc.int/news/cop23-excursions-programme-for-participants
    UNFCCC. (2017, October 31). Host of cultural events to coincide with COP23. https://unfccc.int/news/host-of-cultural-events-to-coincide-with-cop23
    UNFCCC. (2018, December 11). Buddhist Tzu Chi Foundation - Faith-Based Initiatives on Tackling Climate Chang. https://unfccc.int/event/buddhist-tzu-chi-foundation-faith-based-initiatives-on-tackling-climate-change
    UNFCCC. (2018, December 2). UNFCCC History Exhibition. https://unfccc.int/about-us/unfccc-archives/unfccc-history-exhibition
    UNFCCC. (2018, December 3). Buddhist Tzu Chi Foundation - Plant Based Diets and Climate Action. https://unfccc.int/event/buddhist-tzu-chi-foundation-plant-based-diets-and-climate-action
    UNFCCC. (2024a). About the secretariat. Retrieved August 30, 2024, from https://unfccc.int/about-us/about-the-secretariat
    UNFCCC. (2024b). Non-Party Stakeholders Statistics. Retrieved July 25, 2024, from https://unfccc.int/process-and-meetings/parties-non-party-stakeholders/non-party-stakeholders/statistics#Statistics-on-Side-Events-and-Exhibits
    UNFCCC. (2024c). UN Climate Change Global Innovation Hub. Retrieved July 21, 2024, from https://unfccc.int/topics/un-climate-change-global-innovation-hub#Innovation-Hub-Partners-and-Governance
    UNFCCC. (2024, July 7). Side Events and Exhibits. https://unfccc.int/process-and-meetings/conferences/side-events-and-exhibits#Application-process-and-timeline
    United Nations. (1992). The United Nations Framework Convention on Climate Change, UNFCCC. https://treaties.un.org/doc/source/RecentTexts/unfccc_eng.pdf
    United Nations. (2015a). Paris Agreement. https://unfccc.int/files/meetings/paris_nov_2015/application/pdf/paris_agreement_english_.pdf
    United Nations. (2015b). Transforming our world: the 2030 Agenda for Sustainable Development. https://documents.un.org/doc/undoc/gen/n15/291/89/pdf/n1529189.pdf
    University of Reading. (2024). Climate stripes: Representing global temperature rise over two centuries. Retrieved August 30, 2024, from https://www.reading.ac.uk/planet/climate-resources/climate-stripes
    Vermeylen, F., & Hahn, U. (2022). Climate-related art exhibitions in news media: Artivism or inconclusive, open-ended art? Sustainable Consumption Transitions Series, 8.
    Waller-Hunter, J. (2023, March 24). World Meteorological Day 2003 - "Our future climate." https://en.wikipedia.org/wiki/2003_United_Nations_Climate_Change_Conference
    Wang, W. (2021, May 6). Three thoughts in art research in big data age. E3S Web Conf., 253, 02096. https://search.proquest.com/openview/17bb5be076553ced25c80867a3d8e49f/1?pq-origsite=gscholar&cbl=2040555
    World Economic Forum (WEF). (2023a). The Global Risks Report 2023, 18th Edition — Insight Report. https://www3.weforum.org/docs/WEF_Global_Risks_Report_2023.pdf
    World Economic Forum (WEF). (2023b). The Future of Jobs Report 2023. https://www.weforum.org/publications/the-future-of-jobs-report-2023/in-full/
    World Meteorological Organization (WMO). (2024, January 4). Celeste Saulo of Argentina takes office as Secretary-General of WMO. https://wmo.int/media/news/celeste-saulo-of-argentina-takes-office-secretary-general-of-wmo
    Wright, S. J., Sietsma, A., Korswagen, S., Athanasiadis, I. N., & Biesbroek, R. (2023). How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications. Regional Environmental Change, 23(10), 129. https://doi.org/10.1007/s10113-023-02113-3
    二、中文資料
    CSR天下(2024年1月17日)。台灣首家金融業進入 COP28 藍區,國泰金杜拜氣候峰會三大創舉成為永續賦能手。取自 https://csr.cw.com.tw/article/43509
    Thorp, J.(2021)。呂奕欣(譯),數據與人性:當代數據藝術先鋒最深刻的第一手觀察,探索科學、人文、藝術交織的資訊大未來。臺北市:臉譜出版、城邦文化事業股份有限公司出版、英屬蓋曼群島商家庭傳媒股份有限公司城邦分公司發行。
    于平(2013)。大數據時代的藝術學對策研究。藝術百家,5,6-9。
    工研院(2024)。王雲:在深不可測的 Big Data 時代尋找新契機。工業技術與資訊月刊。取自 https://www.itri.org.tw/ListStyle.aspx?DisplayStyle=18_content&SiteID=1&MmmID=1036452026061075714&MGID=653405477231453707
    中國藝術科技研究所(2023年12月13日)。基於資料分析的藝術學三大體系建設研究現狀與對策建議項目彙報總結會圓滿召開。取自 https://www.casti.org.cn/casti/xwzx02/202312/b0a75947d580426c9f92ce589c34d5c6.shtml
    文化內容策進院(2023年7月7日)。2022年臺灣文化內容消費趨勢調查計畫。取自 https://taicca.tw/article/0c49e8f8
    王順德(2023年12月14日)。一起逛氣候大會 COP28 談判場內外的藝文工作者與趨勢。台達電子文教基金會。取自 https://www.delta-foundation.org.tw/blogdetail/8453
    立法院(2020年10月)。文化部110年度單位預算評估報告。取自 https://www.ly.gov.tw/Pages/Detail.aspx?nodeid=44190&pid=203239
    何宗武(2021)。大數據時代的決策思維:資料敘事的起承轉合。臺北市:五南。
    佛教慈濟基金會(2018)。年度服務成果暨收支報告。取自 https://tw.tzuchi.org/financial/2018financial/%E6%85%88%E6%BF%9F%E5%80%A1%E8%AD%B0%E6%8E%A5%E8%BB%8C%E5%9C%8B%E9%9A%9B
    李國傑(2012年9月)。大資料研究的科學價值。中國計算機協會通訊,8(9),8-15。
    林奐成(2021年11月8日)。台達連14次參與 COP 分享城市空汙地圖、電動車新技術。取自 https://sdgs.udn.com/sdgs/story/122552/5875410?from=udn-relatednews_ch1010
    徐光蓉(2021年12月30日)。台灣與聯合國氣候變化綱要公約。新世紀智庫論壇,96,105-114。
    陳文姿(2018年9月10日)。用藝術串聯台灣與全球95國一起「氣候起義」!環境資訊中心。取自 https://e-info.org.tw/node/213906
    陳國青、吳剛、顧遠東、陸本江、衛強(2018)。管理決策情境下大資料驅動的研究和應用挑戰——範式轉變與研究方向。管理科學學報,21(7),1-10。
    陳雲松(2015)。大數據中的百年社會學——基於百萬書籍的文化影響力研究。社會學研究,1,23-48。
    項貽斐(2023年10月12日)。文策院院長盧俊偉專訪 7:八大面向「文化消費調查」跨域分析深入瞭解市場。取自 https://reurl.cc/VNV8WA
    黃品涵(2023年12月3日)。COPs 與他們的產地—氣候峰會主辦國怎麼產生?COP29 要在哪裡辦?CSR@天下雜誌。取自 https://csr.cw.com.tw/article/43450
    遠見雜誌(2024年1月5日)。COP28 盛況空前/台灣加速拼淨零,公私協力向國際發聲。取自 https://www.ctee.com.tw/news/20240105700924-431003
    數位發展部(2018年7月2日)。資料視覺化 Data Visualization:圖表設計。取自 https://www.webguide.nat.gov.tw/News_Content.aspx?n=531&s=2913
    蘇瑤華、林祈昱、林姿儀(2024年3月)。氣候正義在地覺醒:視覺藝術永續行動研究報告書。社團法人台灣視覺藝術協會出版。

    下載圖示
    QR CODE