Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 46851 ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ CODATA and global challenges in data-driven science CODATA and global challenges in data-driven science Rybkina A Rybkina A Hodson S Hodson S Gvishiani A Gvishiani A Kabat P Kabat P Krasnoperov R Krasnoperov R Samokhina O Samokhina O Firsova E ~ Firsova E ~ Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru Committee on Data of the International Council for Science (CODATA) ru Committee on Data of the International Council for Science (CODATA) ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru International Institute for Applied Systems Analysis (IIASA) ru International Institute for Applied Systems Analysis (IIASA) ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru Geophysical Center of the Russian Academy of Sciences ru 18 4 1 11 10 11 2021 https://rjes.ru/en/nauka/article/46851/view

This synthesis report present 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.

This synthesis report present 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.

 Big Data Open Data FAIR principles data-driven science system analysis methods data mining machine learning pattern recognition international conference CODATA Big Data Open Data FAIR principles data-driven science system analysis methods data mining machine learning pattern recognition international conference CODATA

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