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Visual Media Analysis: A Research Toolkit
A collection of resources and materials to perform visual media analysis, organised into three units: - Visual Media Analysis for Online Discourses: provides conceptual and...-
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Introduction to Data Curation
This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...-
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Medical Device Regulation and Digital Health: Problems and Perspectives
This webinar, which took place on 15 February 2021, was aimed at exploring the issue of Medical Device Regulation and Digital Heath. The webinar hosted five speakers: Professor...-
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Visual Media Analysis with Computer Vision
This unit is on how to perform visual media analysis with computer vision. The unit includes: - a video tutorial describing the computer vision network approach - a video... -
Visual Media Analysis for Online Discourses
This unit provides conceptual and practical resources for the visual media analysis of online discourses and the study of visual social media platforms, such as Instagram. The...-
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Visual Media Analysis for Meme Collections
This unit provides conceptual and practical resources for conceptualising and analysing meme collections. The unit includes: - a conceptual article explaining how studying...-
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Automated Methods of Urban Green Analysis
The seminar aims at providing a preliminary definition of the state-of-the-art upon automatic methods for systematized urban green data collection. The talk focuses on the...-
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Tutorials on anonymization and antidiscrimination of datasets
These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...-
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Data in soccer: an athletic trainer's point of view
Abstract: This webinar is focused on describing the importance of the data in soccer and in particular on the athletic trainer point of view. Cristoforo Fialetti, an athletic...-
Webloc
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Mobility data sharing: application potential and ethical issues webinar
4th SoBigData++ Awareness Panel Webinar Programme Decentralized anonymization of mobility data Speaker: Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)... -
Social Network Analysis @MasterBigData2022
This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...-
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Introduction to Data science for Social Scientists
This course, initially designed for social scientists, covers several topics of data science. Python programming Data Cleaning and Transformation Classification Clustering...-
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Explaining Explanation Methods
The most effective Artificial Intelligence (AI) systems exploit complex machine learning models to fulfill their tasks due to their high performance. Unfortunately, the most...-
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Can Big Data Bridge Gaps in Migration Statistics
Traditional statistical data on international migration suffers from the problems (gaps) of inconsistency in definitions, differences in geographical coverages, absence of...-
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Social Network Analysis with Python
This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...-
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Social Network Analysis
Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...-
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Evaluating the significance of network observables with a maximum entropy-bas...
This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...-
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Deep Learning Course
This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...-
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SoBigData Plus Plus e-infrastructure
In this webinar, we introduce you to the SoBigData R.I. Are shown the main features of the SoBigData R.I. It is explained how to integrate a new method, how to execute an...-
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