| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.2205/2018ES000625 |
| CODATA and global challenges in data-driven science. | |
| Rybkina A; Hodson S; Gvishiani A; Kabat P; Krasnoperov R; Samokhina O; Firsova E | |
| 发表日期 | 2018 |
| 出处 | Russian Journal of Earth Sciences 18 (4): 1-11 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | This synthesis report presents the scientific results of the international conference "Global Challenges and Data-Driven Science" which took place in St. Petersburg, Russian Federation from 8 October to 13 October 2017. This event facilitated multidisciplinary scientific dialogue between leading scientists, data managers and experts, as well as Big Data researchers of various fields of knowledge. The St. Petersburg conference covered a wide range of topics related to data science. It featured discussions covering the collection and processing of large amounts of data, the implementation of system analysis methods into data science, machine learning, data mining, pattern recognition, decision-making robotics and algorithms of artificial intelligence. The conference was an outstanding event in the field of scientific diplomacy and brought together more than 150 participants from 35 countries. It's success ensured the effective data science dialog between nations and continents and established a new platform for future collaboration. |
| 主题 | Directorate (DIR) |
| 关键词 | Big Data Open Data FAIR principles data-driven science system analysis methods data mining machine learning pattern recognition international conference CODATA |
| URL | http://pure.iiasa.ac.at/id/eprint/15435/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131204 |
| 推荐引用方式 GB/T 7714 | Rybkina A,Hodson S,Gvishiani A,et al. CODATA and global challenges in data-driven science.. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2018ES000625.pdf（4035KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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