Development and Implementation of Ethical Machine Learning Strategies for Destination Earth

calendar_month March 5, 2024


The launched Invitation to Tender (ITT) by ECMWF aims at shaping the future of Machine Learning and Artificial Intelligence (ML/AI) within the Destination Earth initiative and amplifying its impact for innovation, policy influence, and ethical standards in the European technological landscape.

Full details of the invitation to tender are available on the ECMWF DestinE Procurement section.

About the Digital Twin Engine and first Digital Twins 

As part of the wider Destination Earth initiative, ECMWF is one of three entrusted entities tasked with delivering the Digital Twin Engine. This is one of the components of DestinE aside from the DestinE Core Service Platform (DESP) being developed by the European Space Agency (ESA) and the DestinE Data Lake being developed by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). 

The Digital Twin Engine is at the core of the first two high-priority digital twins, also delivered under the responsibility of ECMWF. The Digital Twin on Weather-Induced and Geophysical Extremes will provide capabilities for the assessment and prediction of environmental extremes. The Digital Twin on Climate Change Adaptation will support the generation of analytical insights and testing of predictive scenarios in support of climate adaptation and mitigation policies at multi-decadal timescales, from global and national to regional levels. 

More information about the tender 

Please note that the information in this website aims solely to inform interested parties of potential opportunities related to Destination Earth. Full or more accurate information on the requirements, conditions and procedures are to be found in the main procuring agency’s procurement portal.

calendar_todayOpening date: 04 Mar 2024
calendar_todayClosing on: 19 Apr 2024