Open Call SC1-HCO-01-2016: Valorisation of FP7 Health and H2020 SC1 Research Results

European CommissionThe objective of this coordination and support action is to develop a European web marketplace referencing all types of innovations such as patents, licensing opportunities, prototypes, products, technologies or services with a potential for future exploitation and/or commercialisation, primarily generated by FP7 Health and Horizon 2020 SC1 programmes.

The marketplace should become a one-stop-shop between innovation providers (mainly academic research organisations) and innovation developers (such as SMEs, midcaps and larger companies, EU research infrastructures). The further assessment and/or validation of any high-value discovery shall not be performed within the framework of the proposal.

Further exploitation should be widely promoted to innovation developers; therefore the proposal should detail how it intends to incentivise academia, TTOs, SMEs and the healthcare sector at large to ensure a broad use, exploitation and feeding of the marketplace in Europe. The proposal should include a solid monetization strategy to ensure sustainability of the marketplace after the end of the project.

TTOs with proven track records in exploitation of research results as well as business development departments from healthcare companies should be involved in the consortium to ensure a coherent and consistent approach between innovation providers and innovation developers. Special attention should be given to project outcomes in low performing Member States and Associated Countries[[As defined by Widening Participation and Spreading Excellence: Member States below 70% of the EU average of the Composite Indicator of Research Excellence. The Composite indicator of Research Excellence (with a corrective threshold of 70% of the EU average) has been selected to distinguish those countries identified as "low R&I performing" or "widening" countries. These are:

  • Member States: Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Luxembourg, Malta, Poland, Portugal, Romania, Slovakia and Slovenia.
  • Associated Countries (subject to valid association agreements of third countries with Horizon 2020): Albania, Bosnia and Herzegovina, Faroe Islands, Former Yugoslav Republic of Macedonia, Moldova, Montenegro, Serbia, Turkey and Ukraine. Benchmarking of existing initiatives at European, Member States or international level (such as Enterprise Europe Network or the United States National Institutes of Health (NIH) Office of Technology Transfer) is a prerequisite. This benchmarking should contribute to identifying best practices, rightly positioning contents and services of the marketplace, as well as defining Key Performance Indicators that will be monitored throughout the deployment of the marketplace.

The Commission considers that proposals requesting a contribution from the EU of between EUR 1 and 2 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Deadline Date: 13-04-2016 17:00:00 (Brussels local time)

Type of action: CSA Coordination and support action.

For topic conditions, documents and submission service, please visit:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/3057-sc1-hco-01-2016.html

Find your partners or consortia preparing a project proposal
If you need help to identify a potential partner or consortia with particular competences, facilities or experience, please join Health IT Space at http://www.healthitspace.eu

Health IT Space is the first social networking platform for Health IT Professionals and Stakeholders. Explore the list of all Health IT Space registered members at http://www.healthitspace.eu/network/members

Most Popular Now

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...