PHEME

Computing Veracity – the Fourth Challenge of Big Data

Social networks are rife with lies and deception, half-truths and facts. But irrespective of a meme’s truthfulness, the rapid spread of such information through social networks and other online media can have immediate and far-reaching consequences. In such cases, large amounts of user-generated content need to be analysed quickly, yet it is not currently possible to carry out such complex analyses in real time. With partners from seven different countries, the PHEME project will combine big data analytics with advanced linguistic and visual methods. The results will be suitable for direct application in medical information systems and digital journalism.

 

MMLAP and other EU Projects

Health system analysis to support capacity development in response to the threat of pandemic influenza in Asia
Making society an active participant in water adaptation to global change
Public Participation in Developing a Common Framework for Assessment and Management of Sustainable Innovation
Effective communication in outbreak management: development of an evidence-based tool for Europe
Developing the framework for an epidemic forecast infrastructure
European monitoring of excess mortality for public health action
Modelling the spread of pandemic influenza and strategies for its containment and mitigation
Cost-effectiveness assessment of european influenza human pandemic alert and response strategies
Bridging the gap between science, stakeholders and policy makers
Promotion of immunization for health professionals in Europe
Towards inclusive research programming for sustainable food innovations
Medical ecosystem – personalized event-based surveillance
Public Engagement with Research And Research Engagement with Society
Computing Veracity – the Fourth Challenge of Big Data
Transparent communication in Epidemics: Learning Lessons from experience, delivering effective Messages, providing Evidence