The e-POLICY project is a FP7 STREP project funded under the Information and Communication Technologies (ICT) theme, Objective 5.6 ICT solutions for Governance and Policy Modeling.
Its main aim is to support policy makers in their decision process across a multi-disciplinary effort aimed at engineering the policy making life-cycle. For the first time, global and individual perspectives on the decision process are merged and integrated. The project focuses on regional planning and promotes the assessment of economic, social and environmental impacts during the policy making process (at both the global and individual levels). For the individual aspects, e-POLICY aims at deriving social impacts through opinion mining on e-participation data extracted from the web. To aid policy makers, citizens and stakeholders, e-POLICY heavily relies on visualization tools providing an easy access to data, impacts and political choices.
The COLOMBO project is a FP7 STREP project funded under the Information and Communication Technologies (ICT) theme, Objective ICT-2011.6.7 Cooperative Systems for energy efficient and sustainable mobility.
Its main aim is to deliver a set of modern, self-organizing traffic management algorithms designed for being applicable even at low penetration rates, asserting their usability from the very first deployment days on. COLOMBO will focus on two traffic management topics: traffic surveillance and advanced traffic light control algorithms. Herein, cost-efficiency and the reduction of vehicular emissions will be the project’s key objectives. Both results are assumed to be more than a pure technology step. Rather than that, they lay the foundations for new, cost- effective and comprehensive way to measure and handle traffic. Additional results will include prototypes for incident and emission monitoring at intersections, going far beyond current state of the art.
DAREED is a FP7-Smartcity project framed within energy efficiency for Smart Cities. European Comission fosters projects focused in objectives of 2020 low carbon economy through the integration and validation of ICT technologies and services in neighbourhoods. DAREED's goal is to reduce energy consumption in buildings by using ICT, anticipating savings between 7% and 10%. To achieve this, DAREED will create a system capable of receiving information from various sources, analyzing energy consumption profiles, and providing information and advice to citizens, utilities and public institutions, involving all stakeholders in the process of improving energy efficiency. These tools will be used to help energy companies to define and validate their business models and pricing schemes, policy makers to pomote energy efficiency through political actions and instruments and citizens to save money and energy through awareness tools.
Our group has pursued a research line aiming to provide a methodology to connect and integrate decision making and optimization technology with com- plex systems. In this project we plan to investigate an integration method based on the use of a hybrid combinatorial/machine-learning model. In detail, we will use learning techniques to extract (part of) the optimization model from sim- ulation or from direct system observation. As a practical case study, we will consider thermal aware workload dispatching on many core chips (Scenario A) and on HPC centers (Scenario B). The developed methodology will provide ac- curate, adaptive, easy to deploy thermal models for optimization methods, and hence the opportunity to achieve power savings and performance improvements beyond the current state of the art.