Événement à la une
Le 10.09.2024
Webinaire EIC Accélérateur sur l'étape 2 "Full Proposal" - 10 septembre 2024
L'équipe du PCN EIC Accélérateur organise un webinaire le mardi 10 septembre de 11h à 12h.
ExpectedOutcome:
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 3 “Tackling diseases and reducing disease burden”. To that end, proposals under this topic should aim for delivering results that are directed, tailored towards and contributing to all of the following expected outcomes:
Scope:
The COVID-19 pandemic research response has illustrated the importance of clinical research preparedness, as well as the benefit gained from the coordination between European clinical research initiatives. Two key pillars of such clinical research in pandemic preparedness and response are the clinical (interventional) trials and the cohort (observational) studies.
The large-scale European COVID-19 clinical trials have been gathered under a network for COVID-19 therapeutic trials[1] and a network for COVID-19 vaccine trials[2] and strong common coordination mechanisms between the trials have been established. The recently launched Ecraid[3] is a European clinical research network that has been in development since before the COVID-19 pandemic. The EU-funded projects conducting cohort research in Europe and globally have also come together to establish stronger coordination between them.
This topic aims at maintaining and strengthening existing strategic coordination mechanisms across adaptive platform trials and across cohort studies in Europe and beyond for avoiding redundancies, promoting complementarities and facilitating cooperation among EU-funded clinical research for infectious diseases. Proposals should strengthen the leading role of the EU in clinical research preparedness for future epidemics and pandemics, through ensuring coordination of the European adaptive platform trials and of the European cohort studies. The coordination mechanisms support the longer-term perspective of preparedness for future infectious disease epidemics and pandemics, where the networks enable the conduct of perpetual platform trials and of perpetual strategic cohorts with the in-built agility to pivot to emerging diseases when an epidemic strikes.
Proposals should describe a coordination mechanism for adaptive platform trials and/or for cohort research. The coordination mechanism builds on existing coordination efforts for these networks, providing strategic support and vision for the perpetual trials and cohort studies belonging to the networks in the context of pandemic preparedness. Within the adaptive platform trial network, the coordination mechanism supports reflections e.g. on the diversity of the trial target populations (e.g. primary care or hospitalised patients) or on different possible medical countermeasures (e.g. therapeutics, vaccines), etc. Within the cohort network, the coordination mechanism supports reflections e.g. on diversity in type of cohorts and research questions to be addressed, or on harmonised approaches to data collection and analysis, etc.
Proposals should address proper connections with relevant European initiatives and organisations, such as the European Pandemic Preparedness Partnership, the European Health Preparedness and Emergency Response Authority (HERA), as well as the European Medicines Agency (EMA) and the European Centre for Disease Prevention and Control (ECDC). Synergies with successful proposals under the HORIZON-INFRA-2023-DEV-01-01 topic should be sought, and collaboration with other relevant research infrastructures should be envisaged. Proposals should also be open to engage with global initiatives such as the Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)[4], the Global Health EDCTP3 Joint Undertaking[5], or the World Health Organization (WHO).
Proposals should address the following areas:
[1]https://covid19trials.eu/en
[5]https://ec.europa.eu/info/research-and-innovation/research-area/health-research-and-innovation/edctp_en
[6]See definition of FAIR data in the introduction to this work programme part.