European Symposium Series on Societal Challenges in Computational Social Science 2017

The first event in a series of European symposia on societal challenges in computational social sciences will be held on 15–17 November 2017, in London, the UK. The aim of the symposia is to provide a platform to address the role that digital technologies, the web, and algorithms play in the mediation and creation of inequalities, discriminations, and polarisation. 

Under the theme 'Inequality and imbalance', the 2017 symposium will explore how computational social sciences can contribute to opening up new ways of thinking about, of measuring, detecting, and coping with social inequality, discriination, and polarisation. Participants will discuss how divides and inequalities are proliferated in digital society, how social cleavages can be observed via web data, how the organisational structure of the web itself generate biases and inequality, and how algorithms and computational tools might help to reduce discrimination and inequality. 

The 2017 symposium is organised by the Alan Turing Institute, Nokia Bell Labs. The series of symposia is organised by Gesis – the Leibniz Institute for the Social Sciences, Nokia Bell Labs, and ETH Zurich, with the Aachen University and the Vienna University as organisational partners. 

For more information, visit the event website.