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WP8 Social mining and big data resource integration

This WP will promote repeatable and open science in large-scale social data mining. Thus, it will deliver datasets, methods and applications to the SoBigData++ platform, for both virtual and trans-national access. We will aim to focus on the reproducibility of results by making it easier to find, access and replicate experiments in accordance with the FAIR principles. In the case of virtual access, the objective of the WP is to increase the number of datasets and methods integrated into the e-infrastructure. Methods will be grouped in libraries, available to be used either in the cloud as service (using the computational resources of the e-infrastructure) or to be downloaded for local use.

 TASKS

  • T8.1 Data Management and Integration of Social Data resources –  Task leader: LUH. Participants: ALL
  • T8.2 Social media observatory and crowd-sensing design and integration – Task leader: CNR. Participants: USFD, UT, ETHZ
  • T8.3 Text and Social Media Mining services design and integration – Task leader: USFD. Participants: CNR, UNIPI, LUH, KTH
  • T8.4 Complex Network Analysis Mining services design and integration – Task leader: CNR. Participants: IMT, SNS, ETHZ, CEU PU
  • T8.5 Human Mobility Analytics services design and integration – Task leader: CNR. Participants: CEU PU, KTH
  • T8.6 Web Analytics services design and integration – Task leader: LUH. Participants: USFD, CNR
  • T8.7 Visual Analytics services design and integration- Task leader: UvA. Participants: CNRS, CNR
  • T8.8 Privacy Enhancing Technology and Discrimination preventing services design and integration – Task leader: UNIPI. Participants: LUH, URV
  • T8.9 Explainable AI services design and integration – Task leader: UNIPI. Participants: CNR, LUH, AALTO
  • T8.10 Scalable machine learning services design and integration – Task leader: LUH. Participants: CNR, BSC
  • T8.11 Filling the gaps: emerging new analytical technologies – Task leader: UNIPI. Participants: ALL