Epiwork
The EPIWORK project proposes a multidisciplinary research effort aimed at developing the appropriate framework of tools and knowledge needed for the design of epidemic forecast infrastructures to be used in by epidemiologists and public health scientists. The project is a truly interdisciplinary effort, anchored to the research questions and needs of epidemiology research by the participation in the consortium of leading epidemiologists, public health specialists and mathematical biologists.
Epidemic researchers along with informatics, computer science, complex systems and physics leading scientists, will tackle most of the much needed development in epidemic forecast of modeling, computational and ICT tools such as i) the foundation and development of the mathematical and computational methods needed to achieve prediction and predictability of disease spreading in complex techno-social systems; ii) the development of large scale, data driven computational models endowed with a high level of realism and aimed at epidemic scenario forecast; iii) the design and implementation of original data-collection schemes motivated by identified modelling needs, such as the collection of real-time disease incidence, through innovative web and ICT applications; v) the set up of a computational platform for epidemic research and data sharing that will generate important synergies between research communities and countries.
Latest News From Epiwork
Epiwork@COSI-ICT Workshop: Towards a Science of Socially Intelligent ICT
In 2009 the Future & Emerging Technology unit (FET) of the European Commission launched its COSI-ICT proactive work programme – Science of Complex Systems for Socially Intelligence ICT.
This Workshop is the first in a series intended to formulate a systematic theory of ‘social intelligence’ and engineering principles for applications.
It focuses on the [...]
View source
Epidemic Market Place featured in Computational Biology issue of ERCIM news magazine
The XLDB team at LASIGE (hosted by the Department of Informatics, Faculty of Sciences at University of Lisbon), in charge for the development and deployment of the Epiwork Epidemic Marketplace, has recently published an article on the Computational Biology special issue of the ERCIM (European Research Consortium for Informatics and Mathematics) news magazine.
“Computational Biology is [...]
View source
New publication comparing large-scale computational approaches to epidemic spreading
Two teams (ISI Foundation and Bruno Kessler Foundation) of Epiwork Work Package 4 (Computational Modeling Platform) have produced a new publication comparing the performance of large-scale computational approaches to the modeling of infectious disease spreading The detailed results can be found in the manuscript:
Comparing large-scale computational approaches to epidemic modeling: agent-based [...]
View source
