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By analyzing the purchases it is possible to predict the peak of the flu

A study born in Pisa has developed an algorithm capable of anticipating seasonal ailments two weeks earlier than previous models.

Read the full articles in the italian newspapers:

https://www.ow9.rassegnestampa.it/SistemaUniversitarioPisanoRassegnaStampa/PDF/2021/2021-02-01/2021020147581906.pdf

Differential privacy

Differential privacy (DP) was originally proposed for interactive statistical queries to a database. With DP, the presence or absence of any single record must not be noticeable from the query answers, up to an exponential factor ε.

Explaining Any Time Series Classifier

Artificial Intelligence (AI) systems are increasingly outclassing human performances in many different fields and applications.

Contemporary Challenges in Migration: An Interactive Discussion on the MIRROR Platform

The online workshop “Contemporary Challenges in Migration: An Interactive Discussion on the MIRROR Platform” took place November 26th, 2020. The event, organized by the MIRROR consortium, saw the participation of high-level national and European policy-makers and security practitioners, civil society representatives, members of national and international humanitarian agencies.

SoBigData in a nutshell

SoBigData is Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross- disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society.

Network Medicine: Local Community Detection on Inflammatory Bowel Disease

Exploratory: Network Medicine

Protein-protein interactions (PPIs) occur when two or more proteins bind together in a cell, in vitro or in a living organism as the interaction interface of proteins is evolved to a specific purpose, the interactions between proteins are connected to biological functions.

Stefano Cresci Wins the 2020 ERCIM Cor Baayen Young Researcher Award

From ERCIM News

Stefano Cresci, member of the SoBigdata Consortium, has been selected from among 13 excellent short-listed nominees as the winner of the 2020 ERCIM Cor Baayen Award. Stefano, from CNR, Italy, has received the award in recognition of the outstanding scientific quality of his research and the impact on science and society that he has already achieved as a young researcher.

The Local to Global problem

Artificial Intelligence is making its way into our lives at a growing pace. Complex and unintelligible models are seeping into our decision-making processes in a wide range of applications, from product recommendation to personal health, from security to credit score. In sensitive domains such as these, transparency and understanding are essential and directly coded into law [1].

FairLens: Auditing Black-box Clinical Decision Support Systems
Exploratory: Social Impact of AI and Explainable ML