TRACK 1: Data-driven Governance through Information Retrieval and Decision Support Systems

Track Chairs: Charalampos Alexopoulos (University of the Aegean), Shefali Virkar, WU Vienna University of Economics and Business, Austria

The purpose of this track is to critically examine the interrelationship between advanced decision support systems and big data analytics in the pursuit of improved digital governance, together with the associated benefits, challenges and risks. This track encourages the submission of high-quality and original papers on the theory, experimentation, and practice of information retrieval and decision support tools and techniques towards better (data-driven) governance; this primarily includes sources of textual information but could also include numerical data and multi-modal information. This track addresses a range of similar or related research questions, topics and practices regarding sophisticated information retrieval infrastructures and advanced decision systems, support tools and services.


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