Project description
Empowering tomorrow’s healthcare leaders through innovative data training
In a world inundated with vast and intricate healthcare data, the critical challenge lies in harnessing its potential for informed decision-making. The growing demand for specialists capable of navigating diverse data sets and intricate legislation underscores a pressing need. With the support of the Marie Skłodowska-Curie Actions programme, the Data4Healthcare project aims to cultivate expertise in big data, data analytics, machine vision and AI. Hosted by the University of Oulu in Finland, this postdoctoral programme is a response to the escalating need for skilled professionals proficient in handling diverse massive data sets and navigating complex healthcare legislation. Its goal is to train 25 researchers, training them to transform healthcare through cutting-edge research and innovative solutions.
Objective
From Big data to new science and practical solutions (Data4Healthcare) is a novel postdoctoral programme hosted at an international and multidisciplinary research environment of University of Oulu (UOULU), Finland.
The Data4Healthcare addresses the great demand for specialists in all fields who are capable of working with different types of massive datasets, understand different datasources and legislation related to the demand of turning them into useful information for decision making in healthcare. This is achieved by tackling some of the most important scientific problems by collaborating intensely with experts from different disciplines and stakeholders and educating well-qualified postdoctoral researchers to meet the requirements of the 21st century.
Data4Healthcare trains 25 postdoctoral researchers to better exploit and develop the possibilities of big data in the EU and globally. The aim of the Data4Healthcare programme is to offer cutting-edge research, research training and career development for experienced researchers of any nationality in fields associated with big data, data analytics, machine vision and artificial intelligence. The Oulu ecosystem with world’s smartest hospital, strong background in eHealth and ICT (for example 6GFlagship as world’s first 6G research programme to develop the future of wireless communication technologies), research teams utilizing large molecular data, expertise in artificial intelligence and several companies locally and in collaboration offers unprecedented surroundings for the programme. The identified primary/focus themes of research in the programme in UOULU are:
- Data as new resources in the society
- Health data management practices in RDI collaboration
- Technical tools in data management and processing
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences health care services eHealth
- natural sciences biological sciences ecology ecosystems
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-Cofund-P - HORIZON TMA MSCA Cofund Postdoctoral programme
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2022-COFUND-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
90014 Oulu
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.