Secure Interactive Environments for SensiTive data Analytics

A Global Low- and Middle-Income Country Primary Care (PC) Antimicrobial Stewardship Trial using the WHO AWaRe system

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts

European Respiratory Diseases Forecasting Hub (RespiCast)

Influcast forecasts the evolution of influenza-like-illnesses by aggregating predictions from multiple models  

Pandemic Preparedness and Response

COVID-19 Real Time Epidemiology I-DAIR Pathfinder is an interdisciplinary project funded by the Botnar Foundation 

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.

ICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models  processes in aviation.

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.

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.

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

Pan-European Response to the Impacts of COVID-19 and future Pandemics and Epidemics

Pandemic Preparedness and Response

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

The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.

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.

Evolutionary games and population dynamics: from theory to applications

Epidemic intelligence to minimize COVID-19’s public health, societal and economical impact.  

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.  

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.