Demography, Economy and Finance 2.0

poverty indicators, spatial analysis

Exploring changes and correlations in people’s and companies’ behavior after the economic crisis

We focus on traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts.

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Blog

  • Vaiva Vasiliauskaite
  • Fabrizio Lillo
  • Hillel Rapoport
  • Donia Kamel
  • Giulio Rossetti
  • Laura Pollacci
  • Vasiliki Voukelatou
  • Ioanna Miliou
  • Luca Pappalardo
  • Fosca Giannotti
  • Matteo Bohm

UN Sustainable development Goals - Info

 

Migration Studies

macroscopic human flows, social behavior analysis

 

Tracking cultural changes generated by migration in local and incoming population

We try to estimate flows and stocks from available, real-time data, building models that track indicators extracted both from unconventional and official data sources. We evaluate migrants integration in new communities through social network and retail data analysis, since migration can generate cultural changes in the local and incoming population. Furthermore, SoBigData supports data journalism projects on migration. We partner with the team behind ‘Demal Te Niew’, a web documentary on migration between Senegal and Italy published in the Italian weekly L’Espresso and in the Spanish daily El Pais.

UN Sustainable development Goals - Info

 

Social Impact of AI and explainable machine learning

artificial intelligence, machine learning, explanation, ethics

Tracking changes from human coding to algorithms automatically learning to solve tasks

Observing many examples of the expected input/output behavior, the last decade has seen the rise of the ‘black box’ society, as most of the times algorithms’ internal reasoning is obscure even for their developers. We assess black box AI systems for automated decision making, which are often based on machine learning trained with big data and map users’ features into a class predicting his or hers behavioral traits.

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Blog

  • Riccardo Guidotti
  • Francesco Spinnato
  • Mattia Setzu
  • Fosca Giannotti
  • Aristides Gionis
  • Thibault Marette
  • Stefan Neumann
  • Avishek Anand
  • Jurek Leonhardt

UN Sustainable development Goals - Info

 

Societal Debates and Misinformation Analysis

text and social network analysis

 

How do people discuss on online social networks? Which users take part in the political debate and how?

We study public debates analyzing both discussions on social media and journalistic production to understand which are the most debated topics. Our analysis can identify themes, assessing how they are discussed and tracking them in time and space. We analyse individuals’ discussion using data from online social networks in order to investigate topics that are relevant for society.

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Blog

TBA

  • Dario Garcia-Gasulla
  • Tommaso Venturini
  • Francesco Grisolia
  • Todor Galev
  • Marc Tuters
  • Sal Hagen
  • Jonathan Gray
  • Liliana Bounegru
  • Aristides Gionis
  • Stefan Neumann
  • Francesco Zappia
  • Aris Anagnostopoulos
  • Maurizio Tesconi
  • Francesco Grisolia

UN Sustainable development Goals - Info

 

Sports Data Science

training indicators, performance predictors

Stories about sports analytics, describing performances using data, statistics and models

The way scientists, fans and practitioners conceive sport performance is changing rapidly, due to the proliferation of new sensing technologies that provide reliable data streams extracted from every game. Combining this flow of (big) data with powerful data science and AI tools, we now have the chance to unveil the great complexity underlying sport performances and work towards many challenging goals, from automatic tactical analysis to data-driven performance ranking, from game outcome prediction to injury forecasting.

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Blog

  • Paolo Cintia
  • Michela Natilli
  • Dino Pedreschi
  • Paolo Ferragina

UN Sustainable development Goals - Info

 

Sustainable Cities for Citizens

smart cities, human mobility, behavior analysis

Stories about cities and their flows’ sustainability

Mobile phone traces, vehicular GPS and social media data are all Big Data sources and proxy of human behavior. If analysed, results can be useful both for administrators and citizens. Local administrators can better understand urban mobility using a tool that quantifies traffic and the city’s usage, thus taking better decisions in mobility management. Citizens can access real-time traffic information and choose the best and fastest route.

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Blog

  • Simona Re
  • Michela Natilli
  • Daniele Fadda
  • Luca Pappalardo
  • Giuliano Cornacchia

UN Sustainable development Goals - Info