Innovating Works
HORIZON-HLTH-2022-IND-13-02
HORIZON-HLTH-2022-IND-13-02: Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation
Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 “Maintaining an innovative, sustainable and globally competitive health industry”. 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:
Sólo fondo perdido 0 €
European
This call is closed Esta línea ya está cerrada por lo que no puedes aplicar.
An upcoming call for this aid is expected, the exact start date of call is not yet clear.
Presentation: Consortium Consortium: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
Minimum number of participants.
This aid finances Proyectos:

Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 “Maintaining an innovative, sustainable and globally competitive health industry”. 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:

The EU contributes strongly to global standards for health data through enhancement of common European standards for health data (including medical imaging data) by researchers and innovators. Researchers and innovators contribute to GDPR compliant guidelines and rules for data anonymisation.Innovators have access to advanced secure data processing tools to test and develop robust data-driven digital solutions and services in response to the needs of researchers, clinicians and health systems at large. Cross-border health data hubs further facilitate the innovation process by providing secure, trustable testing environments for innovators.Clinicians, patients and individuals use a larger variety of high quality data tools and services for wellbeing, prevention, diagnosis, treatm... see more

Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 “Maintaining an innovative, sustainable and globally competitive health industry”. 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:

The EU contributes strongly to global standards for health data through enhancement of common European standards for health data (including medical imaging data) by researchers and innovators. Researchers and innovators contribute to GDPR compliant guidelines and rules for data anonymisation.Innovators have access to advanced secure data processing tools to test and develop robust data-driven digital solutions and services in response to the needs of researchers, clinicians and health systems at large. Cross-border health data hubs further facilitate the innovation process by providing secure, trustable testing environments for innovators.Clinicians, patients and individuals use a larger variety of high quality data tools and services for wellbeing, prevention, diagnosis, treatment and follow-up of care.Researchers and innovators have more opportunities for testing and developing GDPR compliant data driven solutions based on actual needs of the health care environments. Scope:It is essential to speed up and facilitate innovations in the field of data-driven tools and services for wellbeing, prevention, diagnosis, treatment and follow-up of care, among others. However, limited access by developers to health data and secure testing environments hinder the development of innovative data-driven digital health products and services.

Therefore, the proposals are expected to scale up multi-party computation, data anonymisation techniques and synthetic data generation. To ensure privacy, the data analytics should be conducted in a distributed way among processors that grant third parties access to analysis outcomes but not to the underlying data. The developers should have access to distributed testing data sources and cloud and computing resources at large scale, with a view to improving the speed and robustness of multi-party computation solutions for innovators. The aim is to allow secure GDPR-compliant data processing for research, and clinical purposes.

The proposals should consider the use of synthetic, i.e. artificially generated, data as they allow researchers and developers to test, verify and fine-tune algorithms in large-scale data experimentations without re-identifiable personal data.

In addition, the proposed anonymisation techniques will have to be sophisticated and robust enough to tackle the challenge of anonymised data sets that still make it possible to trace back to individuals.

The proposals are expected to foster the development of secure, interoperable, transparent - and therefore trustable - cross-border health data hubs that can facilitate the provision of the required testing environments for innovators. This will support the uptake of new data tools, technologies and digital solutions for health care.

To this end, integration of national/regional health data hubs/repositories/research infrastructures is appropriate to achieve the scope of the topic. The proposals are expected to address all of the following areas:

Consolidate and scale up multi-party computation and data anonymisation techniques and synthetic data generation to support health technology providers, in particular SMEs.Support the development of innovative unbiased AI based and distributed tools, technologies and digital solutions for the benefit of researchers, patients and providers of health services, while maintaining a high level of data privacy.Advance the state-of-the-art of de-identification techniques, to tackle the challenge of anonymised datasets that can be traced back to individuals.Develop innovative anonymisation techniques demonstrating that effective data quality and usefulness can be preserved without compromising privacy.Explore and develop further the techniques of creating synthetic data, also dynamically on demand for specific use cases.Widen the basis for GDPR-compliant research and innovation on health data.Ensure wide uptake and scalability of the methodologies and tools developed, promote high standards of transparency and openness, going well beyond documentation and extending to aspects such as assumptions, architecture, code and any underlying data. see less

Temáticas Obligatorias del proyecto: Temática principal: Technology commercialisation Artificial Intelligence Health care sciences and services (including hospi Computer sciences information science and bioinfo Digital Agenda

Consortium characteristics

Scope European : The aid is European, you can apply to this line any company that is part of the European Community.
Tipo y tamaño de organizaciones: The necessary consortium design for the processing of this aid needs:

characteristics of the Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 “Maintaining an innovative, sustainable and globally competitive health industry”. 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: Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 “Maintaining an innovative, sustainable and globally competitive health industry”. 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:
Do you want examples? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Financial Chapters: The chapters of financing expenses for this line are:
Personnel costs.
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Subcontracting costs.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
Purchase costs.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Other cost categories.
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Indirect costs.
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Madurez tecnológica: The processing of this aid requires a minimum technological level in the project of TRL 4:. Los componentes que integran determinado proyecto de innovación han sido identificados y se busca establecer si dichos componentes individuales cuentan con las capacidades para actuar de manera integrada, funcionando conjuntamente en un sistema. + info.
TRL esperado:

Characteristics of financing

Intensidad de la ayuda: Sólo fondo perdido + info
Lost Fund:
0% 25% 50% 75% 100%
For the eligible budget, the intensity of the aid in the form of a lost fund may reach as minimum a 100%.
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations. The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Guarantees:
does not require guarantees
No existen condiciones financieras para el beneficiario.

Additional information about the call

incentive effect: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
non -competitive competitive Very competitive
We do not know the total budget of the line
minimis: Esta línea de financiación NO considera una “ayuda de minimis”. You can consult the regulations here.

other advantages

SME seal: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
HORIZON-HLTH-2022-IND-13 Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destinatio...
Sin info.
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