-
Bias in algorithmic filtering and personalization
Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal... -
Accountability for the Use of Algorithms in a Big Data Environment
Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or... -
Algorithmic Accountability and Public Reason
The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers... -
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...-
PDF
The resource: 'Slides' is not accessible as guest user. You must login to access it!
-
The resource: 'Exercise R' is not accessible as guest user. You must login to access it!
-
PDF
-
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...-
ipynb
The resource: 'Introduction to NetworkX' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'NDlib tutorial' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'NDlib-REST tutorial' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Community Discovery' is not accessible as guest user. You must login to access it!
-
ipynb
-
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...-
ipynb
The resource: 'Python Basics' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Python Basics - Exercise' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Data Manipulation in Pandas' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Data Manipulation in ...' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Case Study: Titanic data ...' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Clustering' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Case study: Titanic Clustering' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Classification' is not accessible as guest user. You must login to access it!
-
ipynb
The resource: 'Case study: Titanic ...' is not accessible as guest user. You must login to access it!
-
HTML
The resource: 'Titanic Dataset' is not accessible as guest user. You must login to access it!
-
ipynb
-
-
HTML
The resource: 'Unnamed resource' is not accessible as guest user. You must login to access it!
-
HTML
-
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...-
HTML
The resource: '"Can Big Data Bridge Gaps ...' is not accessible as guest user. You must login to access it!
-
HTML
-
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...-
HTML
The resource: 'Explaining Explanation Methods' is not accessible as guest user. You must login to access it!
-
HTML
-
A theoretical model for pattern discovery in visual analytics
The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when we talk about patterns? We propose a practicable... -
A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of... -
A qualitative exploration of perceptions of algorithmic fairness
Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases,... -
A Learned Approach to Quicken and Compress Rank Select Dictionaries
We introduce the first “learned” scheme for implementing a compressed rank/select dictionary. We prove theoretical bounds on its time and space performance both in the worst... -
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm
We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior... -
AI and Big Data A blueprint for a human rights and social and ethical impact ...
Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human...