Data Science for Social Impact and Sustainability

Research Area Coordinator
Ciro Cattuto

The mission of this research area is to advance the state of the art of public-interest value generation from data and data-driven computational methods, with a focus on public health, sustainable development, humanitarian action, through the collaboration with data-intensive industries, global agencies, NGOs and philanthropies.

  • Digital Epidemiology
  • Sustainable Development and Humanitarian Action
  • Computational Social Science
  • Data and Philanthropy
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CANP - Casa Nel Parco

CANP will investigate and devise advanced analytics and artificial intelligence techniques on top the development of an integrated ICT platform to harmonise data collection from heterogeneous sources ranging from medical IoT sensors and behavioural data to electronic health records.

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Citizen Science to promote creativity, scientific literacy, and innovation throughout Europe

We are witnessing a remarkable growth of citizen science (CS), that is, the participation of people from all walks of life in scientific research. The main aim of this Action is to bundle capacities across Europe to investigate and extend the impact of the scientific, educational, policy, and civic outcomes of citizen science with the stakeholders from all sectors concerned (e.g., policy makers, social innovators, citizens, cultural organizations, researchers, charities and NGOs), to gauge the potential of citizen science as enabler of social innovation and socio-ecological transition.

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Data Collaboratives

The term data collaborative refers to a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors — including private companies, research institutions, and government agencies — can exchange data to help solve public problems. In the coming months and years, data collaboratives will be essential vehicles for harnessing the vast stores of privately held data toward the public good.

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Data for Social Good and Development

The technological revolution ignited by the pervasivity of the Web, of mobile phones and sensors is generating an unprecedented wealth of data that is able to transform any sector of human knowledge. Such revolution is currently led by the tech industry giants but data science can also serve those organizations that work to change the world and make it a better place.

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Data Interfaces

Data Interfaces aims to experiment with the development of interfaces and formats for data rich scenarios by merging the competences of communication design, complex systems science, and computer science.

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EpiPose aims to provide urgently needed answers about the epidemiological characteristics of 2019-nCoV, the socialdynamics of the outbreak, and the related public health preparedness and response to the ongoing epidemic, as wellas to assess its economic impact.

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Gender and Urban Mobility: Addressing Unequal Access to Urban Transportation for Women and Girls

Mobility, or the extent to which one can reach a desired destination, is one of our most basic needs. Access to mobility is also a prerequisite toward human development and having access to equal opportunities. As such mobility is a complex, gendered issue that requires a multidimensional, data-driven approach to fully unpack and offer insights on the way forward for decision-makers.

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Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.

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Social ComQuant

Digitalization of society characterizes the twenty-first century in many aspects of social, political and cultural life.

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SocioPatterns is an interdisciplinary research collaboration that adopts a data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity.The SocioPatterns team also works on developing tools and techniques to represent, analyze and visualize the collected data.

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