复杂的研究系统的数据可视化与可持续发展目标保持一致
Francisco Carlos Paletta1, Audilio Gonzalez-Aguilar2, Lise Verlaet3
1Universidade de São Paulo, Escola de Comunicações e Artes, São Paulo, Brazil.
Frontiers in big data
|June 24, 2025
概括
本研究介绍了一种方法,用于绘制研究对可持续发展目标 (SDGs) 的贡献. 它可视化了像CIRAD这样的组织如何将其工作与全球发展目标相协调,帮助战略研究规划.
科学领域:
- 研究政策和治理研究政策和治理
- 图书识别和科学识别技术
- 复杂系统分析 复杂系统分析
背景情况:
- 将研究活动与可持续发展目标 (SDGs) 等全球发展议程保持一致,对影响至关重要.
- 评估研究机构对可持续发展目标的贡献需要强大的分析框架.
- 了解不同可持续发展目标和研究重点之间的相互联系是复杂的.
研究的目的:
- 提出一种方法框架,以可视化复杂的研究系统与可持续发展目标 (SDGs) 之间的协调.
- 绘制特定研究机构 (CIRAD) 对可持续发展目标的贡献.
- 为研究治理中的战略决策提供见解.
主要方法:
- 使用先进的数据可视化技术.
- 采用文献计量分析来将出版物与SDGs进行映射.
- 应用复杂系统理论和网络分析,以了解可持续发展目标的相互联系.
主要成果:
- CIRAD的出版物成功地与各种可持续发展目标进行了映射.
- 确定了与可持续发展目标相关的关键主题优先事项和机构合作.
- 突出了对气候行动,粮食安全,生物多样性和农村发展的重大贡献.
结论:
- 拟议的框架有效地可视化了研究与可持续发展目标的协调.
- 该方法提高了对研究系统中的SDG相互联系的理解.
- 为研究治理和战略规划提供了可操作的见解.
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