CODATA and global challenges in data-driven science

Rybkina A, Hodson S, Gvishiani A, Kabat P, Krasnoperov R, Samokhina O, & Firsova E (2018). CODATA and global challenges in data-driven science. Russian Journal of Earth Sciences 18 (4): 1-11. DOI:10.2205/2018ES000625.

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Big Data; Open Data; FAIR principles; data-driven science; system analysis methods; data mining; machine learning; pattern recognition; international conference; CODATA
Research Programs: Directorate (DIR)
Depositing User: Luke Kirwan
Date Deposited: 04 Sep 2018 06:12
Last Modified: 04 Sep 2018 06:12
URI: http://pure.iiasa.ac.at/15435

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