The added value of HOLISTIC Energy Management Solution is the “data-driven” Intelligent Management System that encounters the inherent barriers of the analytical, simulation based tools, which are building / sector specific, enabling thus the “plug in” of different infrastructures that generate streams of data, their modelling and further processing, through inference rules, to produce short-term actions.
More than 250 leading international scientists convened this week in Armação dos Búzios, RJ, Brazil, in parallel with the COP30 negotiations, at the Integrated Assessment Modelling Consortium’s (IAMC) annual conference to present and debate the latest scientific evidence on what it will take to halt global warming and pursue the goals of the Paris Agreement. The IAMC brings together leading climate researchers from all over the world focussing on mitigation and adaptation solutions.
For over three years, experts from medicine, engineering, computer science, social science, and law have collaborated, comprising the MES-CoBraD project consortium, to develop a platform designed to advance the treatment and diagnosis of complex brain disorders.
By securely integrating real-world data with artificial intelligence and precision-focused expert systems, the aim of the MES-CoBraD project was to improve the quality of life for patients, caregivers, and society as a whole.
DIAMOND will update, upgrade, and fully open six integrated assessment models (IAMs) that are emblematic in scientific and policy processes, improving their sectoral and technological detail, spatiotemporal resolution, and geographic granularity. It will further enhance modelling capacity to assess the feasibility and desirability of Paris-compliant mitigation pathways, their interplay with adaptation, circular economy, and other SDGs, their distributional and equity effects, and their resilience to extremes, as well as robust risk management and investment strategies.
Despite the wide recognition of the complex interactions between trade and climate policies, the state-of-the-art capabilities in macroeconomic models face substantial limitations, such as lack of granular data, dependence on conventional trade theories, limited empirical evidence on trade-climate interactions, limited representation of the value and material chain in key (existing and emerging) sectors, heavy reliance on frameworks not accounting for endogenous technical change, limited understanding of the role of developing countries in trade, etc.
The overall goal of the RETOOL project is to advance our understanding of how to address the twin challenges of responding to the climate imperative while strengthening and reinvigorating democratic governance. The project has four overarching objectives:
(i) To deepen our understanding of the relationship between democratic governance and the climate imperative by developing a novel analytical framework and creating new empirical underpinnings, including important new open-access datasets;