CORDIS · 857484 · H2020
NEEMO Networking for Excellence in Electric Mobility Operations
Coordinator: MALTA COLLEGE OF ARTS SCIENCE AND TECHNOLOGY (MT)
NEEMO aims steadily set in the Electric Mobility research, related integration of technologies, modes and operations within the MCAST Energy research Theme in Transportation from terrestrial to marine mobility and from heavy-duty vehicles to micro-mobility solutions. The issue of mobility and energy is more pregnant in geographic islands due to strong energy dependence on fossil fuel. Therefore, a Network for Excellence is created with two world-leading research institutions AIT (Austria) and CEA (France) and like Malta as a widening country with distinctive island, characteristics included C…
About Horizon 2020 (2014–2020)
Horizon 2020 was the EU's flagship research and innovation programme for 2014–2020, with a budget of around €77 billion. It bundled FP7's strands with the EIT and the Competitiveness and Innovation Programme, introduced a stronger societal-challenge orientation, and pushed the funding logic toward closer-to-market innovation. New calls closed in 2020 but funded projects continued through 2024.
The project runs over approximately 3.5 years from 2019-12-01 to 2023-05-31.
Full record on CORDIS — partners, deliverables, publications, news.
Open on cordis.europa.eu → Grant DOI ↗More from MT
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Frequently asked questions
- Who funds this research project?
- This project is funded by the European Union through the Horizon 2020 (2014–2020) programme, under the CSA funding scheme.
- Which EU programme funds it?
- The project is funded under Horizon 2020 (2014–2020), call H2020-WIDESPREAD-2018-2020.
- Who coordinates the project?
- The project is coordinated by MALTA COLLEGE OF ARTS SCIENCE AND TECHNOLOGY (MT).
- What is the project timeline?
- The project runs from 2019-12-01 to 2023-05-31 — approximately 3.5 years.
- Where can I find the full project record?
- The complete record — partners, deliverables, publications and news — is published on CORDIS under project ID 857484.