Computational Social Sciences - Methods of Computer-Aided Social Science Research Using Current Issues as Examples In the age of Big Data, the interdisciplinary cooperation of various scientific disciplines and Computer Science is a central prerequisite for the implementation of many innovative research ideas, but also for many professions. A new discipline, computational social science, is emerging for the social sciences that is dedicated to the description, analysis and explanation of social phenomena in the broadest sense on the basis of large amounts of data, novel data types and with the help of state-of-the-art data-processing technologies. ...

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The LREC 2018 conference has accepted our paper co-authored by the iLCM team: Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data The paper was accepted as a poster demonstration. The poster can be found here: See you in Japan! Abstract: The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a ‘Software as a Service’ architecture (SaaS). ...

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