Research Project
MICAT aims to develop a comprehensive approach to estimate Multiple Impacts of Energy Efficiency (MI-EE) by co-creating a free, easy-to-use, scientifically sound online tool (MICATool). The MICATool will enable holistic analyses of MI-EE at the European, national and local level to strengthen the climate strategy of the Energy Union and accelerate an affordable and just, sustainable energy transition by addressing the challenges and needs of important target groups: policy makers, practitioners and evaluators.
Research Project
The Network for Greening the Financial System (NGFS) is a group of central banks, supervisors and observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilizing mainstream finance to support the transition toward a sustainable economy.
Research Project
EYE-CLIMA will support National Greenhouse Gas Inventories (NGHGIs), and thus the Paris Agreement, by developing independent observation-based methods for verifying emission estimates of greenhouse gases and the aerosol species, black carbon. Independent verification is much needed and is recognized by the IPCC in their 2019 refinement of the guidelines for NGHGIs.
Research Project
COMMITTED is an international project funded by the European Commission’s Directorate on Climate (DG CLIMA). The project aims to enhance sharing of good practices on greenhouse gas emissions modelling between EU and Asian countries. The Consortium comprises major global integrated assessment modelling teams as well as institutions from major Asian economies.
Research Project
The Global Energy Assessment (GEA), launched in 2012, defines a new global energy policy agenda – one that transforms the way society thinks about, uses, and delivers energy. Involving specialists from a range of disciplines, industry groups, and policy areas, GEA research aims to facilitate equitable and sustainable energy services for all, in particular the two billion people who currently lack access to clean, modern energy.
Research Project
The project Data-driven understanding of low-carbon lifestyles (LOW-AI) aims at using social media data to understand behavior change with respect to low-carbon lifestyles. In order to limit global warming to a safe level of 1.5℃, individual action is required. LOW-AI deploys social media data to monitor lifestyle changes and attitudes towards lifestyle changes in the global population, developing tools that can be implemented with a higher geographical reach and are less costly than traditional approaches.