Project description
Ethics in social mining and Big Data analytics
In 2015, the EU-funded SoBigData project set out to create a research infrastructure delivering an integrated ecosystem for advanced applications of social data mining and Big Data analytics. To further study the complexity of the use of social mining and Big Data analytics, the EU-funded SoBigData-PlusPlus project will now develop a distributed, Europe-wide, multidisciplinary research infrastructure. This will be coupled with the consolidation of a cross-disciplinary European research community. The project will strengthen infrastructure tools and services by establishing an open platform for the design and performance of large-scale social mining experiments. The project will deliver specific tools approaching ethics with value-sensitive design integrating values for privacy protection, transparency, and pluralism.
Objective
SoBigData++ strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. SoBigData++ is set to advance on such ambitious tasks thanks to SoBigData, the predecessor project that started this construction in 2015. Becoming an advanced community, SoBigData++ will strengthen its tools and services to empower researchers and innovators through a platform for the design and execution of large-scale social mining experiments. It will be open to users with diverse background, accessible on project cloud (aligned with EOSC) and also exploiting supercomputing facilities. Pushing the FAIR principles further, SoBigData++ will render social mining experiments more easily designed, adjusted and repeatable by domain experts that are not data scientists. SoBigData++ will move forward from a starting community of pioneers to a wide and diverse scientific movement, capable of empowering the next generation of responsible social data scientists, engaged in the grand societal challenges laid out in its exploratories: Societal Debates and Online Misinformation, Sustainable Cities for Citizens, Demography, Economics & Finance 2.0 Migration Studies, Sport Data Science, Social Impact of Artificial Intelligence and Explainable Machine Learning. SoBigData++ will advance from the awareness of ethical and legal challenges to concrete tools that operationalise ethics with value-sensitive design, incorporating values and norms for privacy protection, fairness, transparency and pluralism. SoBigData++ will deliver an accelerator of data-driven innovation that facilitates the collaboration with industry to develop joint pilot projects, and will consolidate an RI ready for the ESFRI Roadmap and sustained by a SoBigData Association.
Fields of science
- social scienceseconomics and businessbusiness and managementinnovation management
- social sciencessociologydemography
- social scienceseconomics and businesseconomics
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00185 Roma
Italy
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Participants (31)
S10 2TN Sheffield
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56126 Pisa
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80686 Munchen
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51005 Tartu
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55100 Lucca
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30167 Hannover
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WC2R 2LS London
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56126 Pisa
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02150 Espoo
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8092 Zuerich
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2628 CN Delft
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1098 XG Amsterdam
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75014 Paris
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00185 Roma
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15125 Marousi
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75794 Paris
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1000 Bruxelles / Brussel
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Participation ended
1051 Budapest
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43003 Tarragona
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1113 Sofia
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08034 Barcelona
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08002 Barcelona
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100 44 Stockholm
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67100 L Aquila
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20123 Milano
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10131 Torino
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
56121 Pisa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1012WX Amsterdam
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51009 TARTU
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
56127 Pisa
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1100 Wien
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