ANIMA stands for Aviation Noise Impact Management through Novel Approaches. The ANIMA project is a people-oriented research project. It aims at identifying and diffusing best practices to lower the noise annoyance endured by communities around airports. The project also makes an effort to better understand the non-acoustical factors which influence noise annoyance, but also to improve the quality of life of communities surrounding airports. The ARC is involved in the project as the communication partner, being the leader of the work package dedicated to communication, dissemination and exploitation of project results.
ANIMA is financially supported by the European Union’s Horizon 2020 research and innovation programme. Horizon 2020 is the biggest EU Research and Innovation programme ever and it is the financial instrument implementing the Innovation Union. ANIMA project is a 48-month project with a total budget of over €7.4 million. The project also partakes to Future Sky, a global initiative aiming at addressing major challenges faced by the European Air Transport by 2050.
The project consortium is formed of 22 project partners. ANIMA is coordinated by ONERA (Office National d’Etudes et de Recherches Aerospatiales) with close cooperation from:
The Manchester Metropolitan University (MMU)
Netherlands Aerospace Centre (NLR)
Airport Regions Council (ARC)
Safran Aircraft Engines (SAE)
Airbus Operations SAS (AIRBUS)
Anotec Engineering S.L. (ANOTEC)
Budapesti Muszaki Es Gazdasagtudomanyi Egyetem (BME)
Deutsches Zentrum Fur Luft-Und Raumfahrt E.V. (DLR)
Erdyn Consultants (ERDYN)
Heathrow Airport Limited (HEATHROW)
Institutul National de Cercetare-Dezvoltare Turbomotoare – Comoti (COMOTI)
National Aviation University, Kyiv (NAU)
Nacionalni Institut za Javno Zdravje (NIJZ)
Institute of Sound and Vibration Research (ISVR)
Regia Autonoma Aeroportul Iasi (IASI)
Schiphol Nederland B.V. (SCHIPHOL)
Transport Systems Catapult Limited (TSC)
Universita Degli Studi Roma Tre (UR3)
Universite de Cergy-Pontoise (UCP)
Zeus GmbH (ZEUS)
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 769627.