Open Call FETOPEN-01-2016-2017: FET-Open Research and Innovation Actions

European CommissionThe successful exploration of new foundations for radically new future technologies requires supporting a large set of early stage, high risk visionary science and technology projects to investigate new ideas. Here agile, risk-friendly and highly interdisciplinary research approaches are needed with collaborations that are open to all sciences and disciplines and that dissolve the traditional boundaries between them. The renewal of ideas is complemented by the renewal of actors taking these new ideas forward. Therefore, this topic encourages the driving role of new high-potential actors in research and innovation, such as excellent young, both female and male, researchers and high-tech SMEs that may become the scientific and industrial leaders of the future.

This topic supports the early stages of research to establish a new technological possibility. Proposals are sought for collaborative research with all of the following characteristics ('FET gatekeepers'):

  • Long-term vision: the research proposed must address a new and radical long-term vision of a science- and technology-enabled future that is far beyond the state of the art and not currently foreseen by technology roadmaps.
  • Breakthrough scientific and technological target: research must target a scientifically ambitious and technologically concrete breakthrough, argued to be a crucial step towards achieving the long-term vision. The plausibility of the proposed breakthrough(s) to be attained within the life-time of the project must be argued in the proposal.
  • Novelty: the research proposed for achieving the breakthrough must be based on cutting-edge knowledge, new ideas and concepts, rather than in the mere application or incremental refinement of existing ones.
  • Foundational: the breakthroughs that are envisaged must be foundational in the sense that, if achieved, they would establish an essential basis for a new kind of technology and its future uses, not currently anticipated.
  • High-risk: the inherently high risk of the research proposed will be reflected in a flexible but effective methodology for exploring alternative directions and options, supported by open and agile research and innovation practices.
  • Interdisciplinary: the proposed collaborations are expected to go beyond 'waterfall' configurations in multi-disciplinary science- and technology research. Instead they should seek new solutions through genuine exchanges, mutual learning, cross-fertilisation and synergistic advances among distant disciplines in order to open unexplored areas of investigation and new directions for joint research.

The Commission considers that proposals requesting a contribution from the EU of up to EUR 3 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Deadline Model: multiple cut-off

Cut-off dates:
11 May 2016 17:00:00
17 January 2017 17:00:00
27 September 2017 17:00:00

Type of action: RIA Research and Innovation action.

For topic conditions, documents and submission service, please visit:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/fetopen-01-2016-2017.html

PS: Find your partners or consortia preparing a project proposal
If you are working on Horizon 2020 research project proposals and you would be interested in a SME partner from Germany, please contact us, we are happy to share our experience, expertise and knowledge. If you need help to identify a potential partner with particular competences, facilities or experience, please join and explore our project, (HEALTH IT) SPACE, at www.healthitspace.eu.

Most Popular Now

Artificial Intelligence: Unexpected Resu…

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have "black box" character: How AI arrives at its results remains hidden. Prof. Dr. Jürgen Bajorath, a cheminformatics...

Printed Robots with Bones, Ligaments, an…

3D printing is advancing rapidly, and the range of materials that can be used has expanded considerably. While the technology was previously limited to fast-curing plastics, it has now been...

AI identifies Non-Smokers at High Risk f…

Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week...

Orchestrating the New World of AI in Hea…

Orion Health's UK and Ireland Customer Conference 2023 focused on the future potential and immediate, practical application of AI to healthcare - and gave delegates a first look at the...

Study Reveals Bias in AI Tools when Diag…

Machine learning algorithms designed to diagnose a common infection that affects women showed a diagnostic bias among ethnic groups, University of Florida researchers found. While artificial intelligence (AI) tools offer...

Researchers Take New AI Approach to Anal…

Researchers at Karolinska Institutet and SciLifeLab in Sweden have combined artificial intelligence (AI) techniques used in satellite imaging and community ecology to interpret large amounts of data from tumour tissue...

Medical AI Tool from UF, NVIDIA gets Hum…

A new artificial intelligence (AI) computer program created by researchers at the University of Florida and NVIDIA can generate doctors' notes so well that two physicians couldn't tell the difference...

Commission Opens Calls to Invest €42 Mil…

Today, the European Commission opened a new set of calls for proposals under the 2023-2024 Work Programmes of the Digital Europe Programme with a focus on advanced digital skills. The calls...

Bayer Championing Advancements in Radiol…

Bayer continues to advance its comprehensive Radiology portfolio with progress in the development pipeline of its investigational contrast agent as well as new innovations in the area of Artificial Intelligence...

MEDICA and COMPAMED: Medical Technology …

13 - 16 November 2023, Düsseldorf, Germany. After four days of business, MEDICA and COMPAMED in Düsseldorf delivered impressive confirmation that they are excellent platforms for the worldwide medical technology business...

AI Predicts Developmental Paths in Prema…

Researchers at UMC Utrecht have developed an AI model to predict long-term outcome in extremely premature babies early in life. The model can identify which infants might face intellectual disability...

AI Paves Way for New Medicines

A team of researchers from LMU, ETH Zurich, and Roche Pharma Research and Early Development (pRED) Basel has used artificial intelligence (AI) to develop an innovative method that predicts the...