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"Horisont 2020 programm" projekt MMTAT15059R
MMTAT15059R "SoBigData teaduse infrastruktuur (1.07.2015−30.06.2019)", Marlon Dumas, Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut.
MMTAT15059R
SoBigData teaduse infrastruktuur
SoBigData Research Infrastructure
1.07.2015
30.06.2019
Teadus- ja arendusprojekt
Horisont 2020 programm
ValdkondAlamvaldkondCERCS erialaFrascati Manual’i erialaProtsent
4. Loodusteadused ja tehnika4.6. ArvutiteadusedP170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)1.1. Matemaatika ja arvutiteadus (matemaatika ja teised sellega seotud teadused: arvutiteadus ja sellega seotud teadused (ainult tarkvaraarendus, riistvara arendus kuulub tehnikavaldkonda)100,0
AsutusRiikTüüp
Euroopa Komisjon
PerioodSumma
01.07.2015−30.06.2019227 500,00 EUR
227 500,00 EUR

SoBigData teaduse infrastruktuur
One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities promise to let us scrutinize the ground truth of individual and collective behaviour at an unprecedented detail and scale. There is an urgent need to harness these opportunities for scientific advancement and for the social good. The main obstacle to this accomplishment, besides the scarcity of data scientists, is the lack of a large-scale open infrastructure, where big data and social mining research can be carried out. To this end, SoBigData proposes to create the Social Mining & Big Data Ecosystem: a research nfrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by “big data”. Building on several established national infrastructures, SoBigData will open up new research avenues in multiple research fields, including mathematics, ICT, and human, social and economic sciences, by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services, into new research. It will not only strengthen the existing clusters of excellence in social data mining research, but also create a pan-European, inter-disciplinary community of social data scientists, fostered by extensive training, networking, and innovation activities. In addition, as an open research infrastucture, SoBigData willpromote repeatable and open science. Although SoBigData is primarily aimed at serving the needs of researchers, the openly available datasets and open source methods and services provided by the new research infrastructure will also impact industrial and other stakeholders (e.g. government bodies, non-profit organisations, funders, policy makers).
TegevusProtsent
Alusuuring75,0
Rakendusuuring25,0