ERCIM News No. 116 has just been published at https://ercim-news.ercim.eu/

This issue includes a Special Theme "Transparency in Algorithmic Decision Making", coordinated by the guest editors Andreas Rauber (TU Wien and SBA), Roberto Trasarti and Fosca Giannotti (ISTI-CNR), providing an overview of the range of activities in this domain. 

By Stephen Bruestle, PhD. (Economics)

Host: SoBigData.IT - KDD Lab, ISTI-CNR, Pisa, Italy

Most economists do not use clustering. We like to identify a small, fixed number of parameters. And, clustering has many parameters.

Economics will have to change to stay relevant. Developments in data and data science make clustering more practical. Businesses are relying more on clustering. Economists should do the same.

My idea is simple. I will use clustering to solve an economics problem. Specifically, I will use clustering to define markets.

By Gaurav Pandey, Faculty of Information Technology, University of Jyväskylä, Finland

Host: Avishek Anand, Assistant Professor, L3S Research Center, Hannover, Germany

The impetus for me to become a SoBigData fellow came to mind while I was monitoring the use of crowdsourcing for the Kenyan Presidential elections of 2017.

by Giulia Preti, dbTrento Group, University of Trento, Italy

In Ocotober 18 2018 Dino Pedreschi took part in the Policy Dialogue with European University Institute
on “EUROPEAN PARLIAMENT ELECTIONS - CHALLENGES AND OPPORTUNITIES OF NEW DIGITAL TECHNOLOGIES”