The functioning of many socio-technical systems depends on the ability of its subcomponents or nodes to communicate or interact via its connections, but high connectivity may imply problems. By removing or deactivating a specific set of nodes, a network structure can be dismantled into isolated subcomponents, thereby disrupting the (mal)functioning of a system or containing the spread of misinformation or an epidemic.

A wide representation of SoBigData and KDDLab is in the AMiner list of the most influential scholars 2018 for their outstanding and vibrant contributions to the field of Data Mining

In this 2019 International Women's Day, Fosca Giannotti, the coordinator of SoBigData, has been chosen by KDnuggets as one of the 19 inspiring women who lead the field in AI, Big Data, Data Science, and Machine Learning fields.

Congrats Fosca!

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