18 identified risks across managerial, scientific, and technical categories
| Low Severity | Medium Severity | |
|---|---|---|
| High Likelihood | R7, R14 | R6 |
| Medium Likelihood | R2, R3, R5 | R9, R15, R17, R18 |
| Moderate Likelihood | R1 | — |
| Low Likelihood | R4, R16 | R8, R10, R11, R12, R13 |
Mitigation: Consortium has successfully collaborated for many years. Will increase cooperation through secondments and joint research activities. Numerous additional resources to facilitate collaboration.
Mitigation: Affiliated with leading European Networks (COST CA19130, ECMI, EIT Digital, European Consortium of Innovative Universities) as additional channels for dissemination.
Mitigation: All partners want to assume significantly more responsibilities. Initially 40 internationally renowned partners wanted to join and are still willing to participate.
Mitigation: PMP set up at start. All DCs tightly integrated into doctoral schools at home universities, being part of a team of colleagues who will provide mutual support. Partners agreed to MSCA supervision guidelines.
Mitigation: Keep a shortlist of additional candidates. Consortium is involved with a significant number of doctoral schools who have agreed to provide additional PhD candidates.
Mitigation: Training courses are regularly evaluated. Entire consortium has offered to contribute twice as many courses. Courses may serve as substitutes by decision of SB. Ample resources for additional training.
Mitigation: All partners have appropriate Ethics rules at their institutions. If inappropriate behaviour is observed, the strictest measures will be taken.
Mitigation: WP1 leader responsible for monitoring data quality. Industrial partners have already pre-agreed to provide all relevant datasets. Academic partners have subscribed to additional data sources. Alternative data sources will be searched.
Mitigation: Selection of research topics is primary risk mitigation strategy. Additional resources will be allocated to WP3 in order to support overall research objectives.
Mitigation: The research program compares extremely powerful outcome models in WP2 to a reasonably well-explainable and still-powerful model as fallback option while still advancing understanding.
Mitigation: Methodology for the risk index for cryptos is based on the established risk management tool FRM Financial Risk Meter.
Mitigation: Financial technology and advanced digital approaches offer solutions. Partners will play enabling role in creating conditions for a unified framework for defining ESG and improving risk assessment and mitigation practices.
Mitigation: Constant monitoring, deviations detected immediately. Refocus on deliverables/milestones at risk. Extensions granted as necessary after consulting with SB and EU officer.
Mitigation: Internationally renowned research centres have dealt with more complex models. All partners agreed to provide significantly more resources if necessary. Focus on less resource-intensive models and adopt if needed.
Mitigation: All necessary hardware will have redundant infrastructure. Combined infrastructure of internationally renowned consortium far exceeds needs.
Mitigation: Progress closely monitored by SB from the very beginning. Monthly status reports on hiring process. If unsatisfactory after 9 months, EB will take appropriate actions including changing the beneficiary.
Mitigation: DIGITAL has extensively researched datasets, completed rigorous preprocessing and validation, conducted preliminary pilot tests, and continues to monitor and update to accommodate evolving data dynamics.
Mitigation: Initial investigations reveal already available datasets are more than adequate. Each research WP required to provide overview of required datasets within first 6 months, updated by M12 and M24.