CODATA and global challenges in data-driven science

被引:3
|
作者
Rybkina, A. [1 ,2 ]
Hodson, S. [2 ]
Gvishiani, A. [1 ]
Kabat, P. [3 ]
Krasnoperov, R. [1 ]
Samokhina, O. [1 ]
Firsova, E. [1 ]
机构
[1] Russian Acad Sci, Geophys Ctr, 3 Molodezhnaya St, Moscow 119296, Russia
[2] Comm Data Int Council Sci CODATA, 5 Rue Auguste Vacquerie, F-75016 Paris, France
[3] IIASA, Schlosspl 1, A-2361 Laxenburg, Austria
来源
RUSSIAN JOURNAL OF EARTH SCIENCES | 2018年 / 18卷 / 04期
基金
俄罗斯科学基金会;
关键词
Big Data; Open Data; FAIR principles; data-driven science; system analysis methods; data mining; machine learning; pattern recognition; international conference; CODATA;
D O I
10.2205/2018ES000625
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
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.
引用
收藏
页数:11
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