Difference between revisions of "MSCA Work Packages"
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| − | = WP1 Towards a European financial data space = | + | = WP1 Towards a European financial data space = |
| + | == Objectives == | ||
| + | The WP will work towards a European financial data space. | ||
| + | * O 1.1. To answer the main research questions on solving data quality and availability hurdles outlined in the IRPs | ||
| + | * O 1.2. To demonstrate the novel data quality and augmentation methodologies through industry use cases (SWE, INT, RAI, CAR) | ||
| + | * O 1.3. To disseminate the knowledge, validated by an international research centre (FRA, ECB, ARC) | ||
| + | == Description == | ||
| + | WP 1 is led by BBU and supported by all partners. The work is divided into the following tasks: | ||
| + | * Task 1.1. Technical coordination. Monitoring the related IRPs, store the output generated in a location accessible to the entire network. | ||
| + | * Task 1.2. Support the research training for all assigned ESRs and contribute to advanced training content. | ||
| + | * Task 1.3. Propose novel methodologies for detecting anomalies and dependence structures in high dimensional, high frequency data. | ||
| + | * Task 1.4. Develop methods to streamline data collection, resolve data quality issues and structure it to support downstream processes. | ||
| + | * Task 1.5. Industry Prototype: Develop solutions that rely on attention networks to incorporate text and temporal dependencies. | ||
| + | * Task 1.6. Disseminate, communicate and exploit the results (Conferences, OS Day, policy paper, prototype, use case,). | ||
| + | * Task 1.7. Jointly with the other research WPs, ensure that 10 new data-driven models can be built for prototypes for the industry | ||
| + | |||
= WP2 AI for financial markets = | = WP2 AI for financial markets = | ||
= WP3 Towards explainable and fair AI-generated decisions = | = WP3 Towards explainable and fair AI-generated decisions = | ||
Revision as of 12:45, 18 September 2023
WP1 Towards a European financial data space
Objectives
The WP will work towards a European financial data space.
- O 1.1. To answer the main research questions on solving data quality and availability hurdles outlined in the IRPs
- O 1.2. To demonstrate the novel data quality and augmentation methodologies through industry use cases (SWE, INT, RAI, CAR)
- O 1.3. To disseminate the knowledge, validated by an international research centre (FRA, ECB, ARC)
Description
WP 1 is led by BBU and supported by all partners. The work is divided into the following tasks:
- Task 1.1. Technical coordination. Monitoring the related IRPs, store the output generated in a location accessible to the entire network.
- Task 1.2. Support the research training for all assigned ESRs and contribute to advanced training content.
- Task 1.3. Propose novel methodologies for detecting anomalies and dependence structures in high dimensional, high frequency data.
- Task 1.4. Develop methods to streamline data collection, resolve data quality issues and structure it to support downstream processes.
- Task 1.5. Industry Prototype: Develop solutions that rely on attention networks to incorporate text and temporal dependencies.
- Task 1.6. Disseminate, communicate and exploit the results (Conferences, OS Day, policy paper, prototype, use case,).
- Task 1.7. Jointly with the other research WPs, ensure that 10 new data-driven models can be built for prototypes for the industry