Lagrange Project

The Lagrange Project is entitled to Lagrange, the greatest mathematician and scientist born and lived in Turin and in Piedmont, and was strongly fostered and supported by CRT Foundation with the scientific coordination of ISI Foundation; the project aims at taking and tackling the ambitious challenge of complexity.

EpiFor

EpiFor project integrates methods of complex systems with statistical physics approaches, computational sciences and mathematical epidemiology in order to model and analyze epidemic spreading processes. Its main objectives are the basic theoretical understanding of multi-scale and agent based modeling approaches and their predictive power; and the development of computational approaches and data integration tools that will provide a realistic modeling framework for the analysis of observed epidemic outbreaks and the forecast of patterns of emerging diseases.

DynaNets EU FP7 FET Open project

Recent advances in experimental techniques such as detectors, sensors, and scanners have opened up new windows into physical and biological processes on many levels of detail. The challenge is to study not only the fundamental processes on separate spatio-temporal scales, but also their mutual coupling and the resulting emergent properties. Understanding, quantifying and handling this information complexity is one of the biggest scientific challenges of our time. DynaNets will study and develop a new paradigm of computing through Dynamically Changing Complex Networks reproducing the way nature processes information. It will develop theory and methods of dynamical networks providing us with new insights into the underlying processes of nature, economy, and society.

Bovine Livestock Mobility

Livestock movements represent the main mean of propagation of zoonotic infectious diseases. The analysis of the dynamical pattern of the cattle trade movements, along with the numerical simulations of diseases spreading is the crucial ingredient to devise efficient preventive and control strategies against epidemic outbreaks. By integrating detailed data of bovines’ displacements and leveraging on the network science approach, this project aims at developing a computational framework to study real epidemic outbreaks.

PREDEMICS - Providing preparedness, prediction and prevention of emerging zoonotic viruses with pandemic potential

The PREDEMICS project aims at providing preparedness, prediction and prevention of emerging zoonotic viruses with pandemic potential. The project foresees the integration of different disciplines and approaches in order to provide a deep understanding of the mechanisms underlying disease emergence. The research will focus on the environmental and anthropological factors determining the ability of viruses to cross the species barriers and become transmissible among humans, along with the complex biological interactions between viruses and humans that drive the viral adaptation. Extensive data collection and sharing will go along with modeling efforts aiming at providing novel tools for disease surveillance, control, preparedness and intervention.

GLEaMviz

GLEaM is a discrete stochastic epidemic computational model, based on high-resolution demographic and mobility datasets, in which the world is defined in geographical census areas connected by human transportation networks, including long-range airline connections and short-range commuting pattern. The GLEaMviz project covers the research conducted with GLEaM and the tools derived from it. To make the modelling with GLEaM publicly available, we created the GLEaMviz Simulator software, aimed at facilitating the use of the computational model for policy making and scenario analysis of infectious disease outbreaks.

Epiwork - Developing the framework for an epidemic forecast infrastructure

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.

ICTeCollective - Harnessing ICT enabled collective social behaviour

ICTeCollective aims to develop systematic means of exploring, understanding and modelling systems where ICT is entangled with social structures. In particular, we will focus on behavioural patterns, dynamics and driving mechanisms of social structures whose interactions are ICT-mediated, from the level of individuals to the level of groups and large-scale social systems. By contrast with the majority of complexity studies, we emphasize that ICT networks are dynamic systems of interacting humans and groups, and fully utilize the theories and methods of the social sciences are to be in ICTeCollective.

SocioPatterns

SocioPatterns is an interdisciplinary scientific research project that adopts this data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity.

ASSYST - Action for the Science of complex SYstems for Socially intelligent icT

The new 2008-2011 coordination action ASSYST (coordinator: Jeff Johnson) is funded from the FET Proactive initiative Science of Complex Systems for Socially Intelligent ICT (COSI-ICT). The COSI-ICT programme has four integrated projects and ASSYST. The work packages of ASSYST are closely aligned with the activities of the Complex Systems Society.

GSDP - Global Systems Dynamics and Policy

GSDP is an FP7 funded coordination action to develop a research program for the study of global systems in an ongoing dialogue with decision makers. GSDP will operate as an open network evolving through workshops, working papers, publications, and open conferences.

COQUIT

The purpose of this project is to study quantum systems which allow only a partial control by a constrained set of quantum operations (typical examples are many particle quantum systems like cold atoms in optical lattices or other multi-atom ensembles, which can be manipulated collectively but not individually). Such restrictions are currently one of the biggest obstacles against working quantum computers. Instead of improving the corresponding experimental methods (i.e. searching for better implementations) this project aims at a systematic study of the tasks which can be performed with currently available techniques.

EveryAware - Enhancing environmental awareness through social information technologies

The EveryAware project proposes a new technological platform combining sensing technologies, networking applications and data-processing tools as well as the Web and the existing mobile communication networks. This platform will integrate participatory sensing with the monitoring of subjective opinions with the aim of investigating the mechanisms by which the local perception of an environmental issue, corroborated by quantitative data, evolves into socially-shared opinions, eventually driving behavioural changes.

Q-ARACNE - Quantum Complex Networks

The project is articulated along three main guiding lines, Quantum Bio, Complex Networks, Mathematics of Complexity, deeply rooted in the tradition of the ISI Foundation, mutually bridged in a subtle far reaching way: i) the "quantum physics" group at the ISI Foundation the is presently engaged in developing an extraordinary tool, quantum complex networks; ii) the latter – not unexpectedly – bear on several quantum issues of biological systems, but also of social (intelligent) systems where one of the crucial processes is random walk over discrete structures in the space of states whose formal properties are those of complex networks. What relates these two physically unrelated networks is the common description in terms of 'sums over histories', typical of quantum physics; iii) the new mathematics of complex systems related to topological features of the space of data glues such apparently distant applications, quantum biological systems and social systems, in a universal, unified representation scheme based on topological aspects of both classical and quantum computation.

NNOSIP - Neuronal network oscillations and sensory information processing

StudioLab - A new European platform for creative interactions between art and science

Inspired by the merging of the artists studio with the research lab to create a hybrid creative space, StudioLab proposes the creation of a new European platform for creative interactions between art and science. StudioLab brings together major players in scientific research with centres of excellence in the arts and experimental design and leverages the existence of a new network of hybrid spaces to pilot a series of projects at the interface between art and science including Le Laboratoire (Paris), Science Gallery (Trinity College Dublin), Royal College of Art (London), Ars Electronica (Linz) and MediaLab Prado (Madrid) and StudioLab will involve activities along three key dimensions: incubation of art-science projects, education and public engagement.