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

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.

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.

CorDATA is a training program designed to inform the operators of International Cooperation on Data Science and Civic Technologies, to increase the awareness of the participants on the culture of data and accompany them in the implementation of Data-Driven projects.

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.

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.

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.

This is an interdisciplinary project funded by the Botnar Foundation in which the partners involved aim at developing better technology for digital epidemiology, such as new proximity tracing technologies and protocols, as well as new data mining techniques to predict epidemiological events.

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.

Evolutionary game theory (EGT) was developed to model biological populations, and the early models had great success inexplaining apparently paradoxical biological behaviour.

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.

PANDEM-2 implements and demonstrates the most important novel concepts and IT systems to improve the capacity of European pandemic planning and response.  

The impact of the COVID-19 pandemic has been deep and wide. In spite of unprecedented efforts to understand the COVID-19 disease and its causative virus SARS-CoV-2, months after the emergence of the first local case in Europe (San Matteo hospital, Pavia, 21st February 2020) significant knowledge gaps persist. While social and natural scientists managed to develop new research and shed light on the dynamics of the outbreak and the most effective possible containment measures, governments have been increasingly faced with the need to adopt urgent decisions.

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

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.

Variants of concern (VoC) of SARS-CoV-2 raise the possibility of increases in transmissibility, severity and immune evasion. Children and pregnant women who have not been prioritised in the pandemic, are likely to be the last population for whom vaccines are approved and may have low uptake, increasing the risk of VoC arising in this population.