WP1: Coordination, Management, and Dissemination
- WP1 is focused on the overall coordination and management of the crAIRsis project. It ensures that all activities are aligned with the project's goals and are executed efficiently. This package also handles the dissemination of the project's findings and achievements, playing a crucial role in sharing knowledge and advancements with the broader community and stakeholders.
WP2: Data Lifecycle Support Infrastructure
- This work package is dedicated to establishing a robust infrastructure to support the entire data lifecycle. It covers aspects such as data acquisition, annotation, archiving, manipulation, and storage. WP2 is crucial for ensuring that the data needed for the project is collected, maintained, and managed effectively, providing a strong foundation for subsequent analysis and modeling efforts.
WP3: Unified Methodology for Modeling AP Alterations
- WP3 focuses on developing a unified methodology for modeling air pollution (AP) alterations in crises. This package will provide high-quality research tools, including codes, analytical instruments, and visualization resources. The methodology developed in WP3 is key to enabling in-depth analysis and understanding of how crises impact air quality and pollution levels.
WP4: Impact Study of COVID-19 and the War in Ukraine on AQ
- WP4 is tasked with conducting a detailed study of the impacts of two significant crises – the COVID-19 pandemic and the war in Ukraine – on air quality in Europe. It will utilize the data acquired and managed in WP2, feeding it into a raw database. This data will then be used in WP3 for modeling AP alterations. The modeling results will be integrated, standardized, and fed into a results database for further explanation and interpretation within WP4, providing crucial insights into the specific effects of these crises on air quality.
Each of these work packages is designed to provide specific, critical contributions to the crAIRsis project, collectively ensuring a comprehensive and effective approach to understanding and addressing the challenges posed by air pollution in times of crisis.
WP No | WP title | WP Lead SRO’s acronym | WP Coordinator - team member’s ID | Start month | End month | Total calendar months of WP duration |
1 | Coordination, management, and dissemination | US | PI | 1 | 36 | 36 |
2 | Data management | IPB | TM3 | 1 | 36 | 36 |
3 | Modeling framework development | US | TM1 | 1 | 34 | 34 |
4 | Pandemic and war crisis case studies | IPB | TM5 | 1 | 36 | 36 |
DELIVERABLES
Deliverable ID | Deliverable name | WP No | Month of delivery |
D1.1 | Project management plan | WP1 | 1 |
D1.2 | Coordination progress report | WP1 | 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36 |
D1.3.1 | Project’s website | WP1 | 3 |
D1.3.2 | Communication strategy and action plan | WP1 | 3, 12, 21, 30 |
D1.3.3 | Technical report | WP1 | 22, 34 |
D1.3.4 | Dissemination report | WP1 | 12, 24, 36 |
D1.4 | Strategy for knowledge protection | WP1 | 3 |
D1.5 | Computing equipment installed | WP1 | 6 |
D2.1.1 | Data acquisition and fusion software | WP2 | 6 |
D2.1.2 | Report on integrated datasets | WP2 | 9 |
D2.1.3 | Raw database online | WP2 | 12 |
D2.2 | Results database online | WP2 | 34 |
D3.1 | Data preparation layer technical report | WP3 | 6 |
D3.2 | Machine learning layer technical report | WP3 | 15 |
D3.3 | Results explanation layer technical report | WP3 | 18 |
D3.4 | Results presentation layer technical report | WP3 | 27 |
D3.5 | Integrative framework technical report | WP3 | 20 |
D3.6 | Published scientific journal and conference papers | WP3 | 18, 24, 30, 36 |
D4.1 | Technical report | WP4 | 12, 18, 24, 30, 36 |
D4.2 | Published scientific journal and conference papers | WP4 | 15, 18, 21, 24, 27, 30, 33, 36 |