This is the second in a series of three symposia that discuss societal challenges in computational social sciences. This year, the focus will be on “Bias and Discrimination” (Cologne, 2018). The focus of last year was “Inequality and Imbalance” (London, 2017) and the next year’s symposium of this series will focus on “Polarization and Radicalization” (Zurich, 2019).
With these three events we provide a platform to address one of the most pressing challenges in today’s digital society: understanding the role that digital technologies, the Web, and the algorithms used therein play in the mediation and creation of inequalities, discrimination and polarization.
By addressing inequality as the topical issue for the symposium series we intend to explore how CSS can contribute to opening up new ways of thinking about, of measuring, detecting and coping with social inequality, discrimination, and polarization. We will discuss how divides and inequalities are proliferated in digital society, how social cleavages can be observed via web data, how the organizational structure of the web itself generates biases and inequality, and how, in contrast, algorithms and computational tools might help to reduce discrimination and inequality. We will also investigate how bias and unequal social structures foster political tension and polarization, including issues of radicalization and hate.
The Symposium series is funded by the Volkswagen Foundation.
The Euro CSS 2018 will be a three-day event consisting of:
- a two-day, single-track conference featuring a series of invited talks that will provide different perspectives on challenges in the area of Bias and Discrimination
- a day of multiple satellite events, including workshops and tutorials
- an open call for contributed presentations that will provide opportunities for computational social scientists to present and discuss their own work
- an open call for workshop and tutorial organization that will provide opportunities for computational social scientists to gather focus groups around the latest trends in computational social science
- a doctoral consortium where PhD candidates have the opportunity to present their work and meet other scholars from whom they receive feedback to their current research and guidance on future directions
- a dataset challenge to encourage creative engagement with the data from different perspectives and dialogue across disciplines
- plenty of possibilities for interdisciplinary networking (e.g. a science slam supported by RWTH Aachen HumTec Institute)