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Fosca Giannotti interview @ Workshops to design a Human Centered AI roadmap in Europe

Fosca Giannotti has been interviewed for the Workshops to design a Human Centered AI roadmap in Europe, in the context of the Humane-AI project.
You can watch the full interview at this link.

Tha AI enigma

We work for a technological advancement that puts human beings with their rights and values at the center: a technology that guarantees respect for privacy and ensures the use of transparent and non-discriminatory algorithms.

The AI enigma

We work for a technological advancement that puts human beings with their rights and values at the center: a technology that guarantees respect for privacy and ensures the use of transparent and non-discriminatory algorithms

SoBigData researchers awarded ERC Advanced Grant

It is a pleasure to announce that 4 researchers of SoBigData, Marlon Dumas, Dirk Helbing, Aris Gionis and Fosca Giannotti have been awarded ERC Advanced Investigator Grant, an extremely competitive and particularly well funded Advanced Investigator Grants by the European Research Council.

Fixing Over-Connectivity

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.

AMiner 2018: SoBigData researchers between the Most influential scholars in Artificial Intelligence

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

Fosca Giannotti: an inspiring Woman in AI, Big Data, Data Science, Machine Learning

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!

 

Transparency in Algorithmic Decision Making

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. 

Using Machine Learning (Topic Modeling) to Define Product & Geographic Markets: a TNA experience in Pisa

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.