EC 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.

Expected Impact:

  • Initiating or consolidating a baseline of feasibility for a radically new line of technology and its future uses by establishing the essential proofs-of-principle and their foundational scientific underpinnings.
  • Strengthening European leadership in the early exploration of visionary, new and emerging technologies, beyond academic excellence and with global recognition. This impact can be reinforced by involving also new high-potential actors such as young, both female and male, researchers and high-tech SMEs that may become the European scientific and technological leaders and innovators of the future.
  • Impact is also sought in terms of the take up of new research and innovation practices for making leading-edge science and technology research more open, collaborative, creative and closer to society.

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

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...