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Dataset challenge

last modified Jun 20, 2018 07:50 PM

December 5-7, 2018
Cologne, Germany

For the first Dataset Challenge as part of our European Symposium on Societal Challenges in CSS, we invite researchers and practitioners from the spectrum of Social and Computational Sciences to approach a common dataset. The aim of this challenge is to encourage creative engagement with data from pluralistic perspectives in order to foster dialogue across disciplines.

The provided datasets all relate to the topic of political communication in Germany, particularly around the German federal election which took place in September 2017.

The research questions and methods applied to the dataset(s) can be drawn from the broad spectrum of Computational Social Science. They should ideally be related to this year's symposium topic 'bias and discrimination' and approach new ways of learning about bias, be it by putting forward new research designs and questions, or by applying state-of-the-art methods to identify data patterns that can inform theory building.

Please see our website for detailed information about the datasets and submission guidelines: http://symposium.computationalsocialscience.eu/2018/#data.

Deadline for abstract submissions to the dataset challenge: September 1, 2018