|14:00 - 14:10
|SoBigData++ project: an ecosystem for Ethical Social Mining - This talk introduces SoBigData++ project with the aim of putting in context the participants presenting the main objectives of the project and the consortium of experts involved working on the vertical contextes: Societal Debates and Online Misinformation, Sustainable Cities for Citizens, Demography, Economics & Finance 2.0, Migration Studies, Sports Data Science, Social Impact of Artificial Intelligence and Explainable Machine Learning. Part of this presentation will be the description of an ethical approach to data science which is a pillar of the SoBigData++ project.
|14:10 - 14:25
|SoBigData RI Services - An overview of the SoBigData RI services will be shown including the Exploratories (Vertical research contexts), the resource catalogue, the training area and SoBigData Lab.
|14:25 - 14:55
|Hands-on JupyterHub service and SoBigData Libraries - This first hands-on session focuses on the libraries and methods developed within the SoBigData consortium. Code examples and case studies will be introduced by leveraging a customized JupyterHub notebook service hosted by SoBigData. Using such a freely accessible coding environment, we will discuss a subset of the functionalities available to SoBigData users to design and run their experiments.
|14:55 - 15:10
|Hands-on computational engine & technologies - In this second hands-on session, the tutorial will focus on the computational engine provided by SoBigData. Real examples will be presented in order to highlight the functionalities to deploy an algorithm and run it on the cloud.
|15:10 - 15:25
|Legality Attentive data Science: it is needed and it is possible!
|15:25 - 15:35
|FAIR: an E-learning module for GDPR compliance and ethical aspects
|15:35 - 16:00
|Beatrice Rapisarda (moderator)
|An open discussion to give more details on specific aspects according to the requests of the audience (not already addressed during the tutorial or presentations).
The objectives of the tutorial are to show how SoBigData RI can support data scientists in doing cutting-edge science and experiments. In this perspective, our target audience also includes people interested in big data analytics, computational social science, digital humanities, city planners, wellbeing, migration, sport, health within the legal/ethical framework for responsible data science and artificial intelligence applications. With its tools and services, SoBigData RI promotes the possibilities that new generations of researchers have for executing large-scale experiments on the cloud making them accessible and transparent to a community. Moreover, specialized libraries developed in SoBigData++ project will be freely accessible in order to make cutting edge science in a cross-field environment.
Format: The tutorial will be 3 hours containing:
- 1 hour of presentations describing the European project SoBigData++, the RI Services, and the Responsible Data Science principles and tools;
- 45 minutes and half of practical use of the RI with real examples of analysis in a dedicated Virtual research environment;
- 20 minutes for an open discussion with the attendees on the various aspects presented.