Open Call ICT-15-2016-2017: Big Data PPP: Large Scale Pilot Actions in Sectors Best Benefitting from Data-Driven Innovation

European CommissionEuropean research and development in data technologies produces promising results, but these are not yet deployed at large scale in a systematic manner. The challenge is to stimulate effective piloting and targeted demonstrations in large-scale sectorial actions ("Large Scale Pilot actions"), in data-intensive sectors, involving key European industry actors. The Large Scale Pilot actions are meant to serve as best practice examples to be transferred to other sectors and also as sources of generic solutions to all data intensive sectors.

Large Scale Pilot actions should address domains of strategic importance for EU industry and carry out large scale sectorial demonstrations which can be replicated and transferred across the EU and in other contexts.

Possible industrial sectors for Large Scale Pilot actions include (but are not limited to) health, energy, environment, earth observation, geospatial, transport, manufacturing, finance and media. Although Large Scale Pilot actions are required to have a strong focus in a given industrial domain, they may involve cross-domain activities where these provide clear added value. Large Scale Pilot actions will propose replicable solutions by using existing technologies or very near-to-market technologies that could be integrated in an innovative way and show evidence of data value (see the section "Expected Impact"). Their objective is to demonstrate how industrial sectors will be transformed by putting data harvesting and analytics at their core.

Large Scale Pilot actions are expected to exhibit substantial visibility, mobilisation, and commercial and technological impact. Proposals should demonstrate that they have access to appropriately large, complex and realistic data sets.

The Commission considers that proposals requesting a contribution from the EU of between EUR 10 and 15 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:

  • Demonstrated increase of productivity in main target sector of the Large Scale Pilot Action by at least 20%;
  • Increase of market share of Big Data technology providers of at least 25% if implemented commercially within the main target sector of the Large Scale Pilot Action;
  • Doubling the use of Big Data technology in the main target sector of the Large Scale Pilot Action;
  • Leveraging additional target sector investments, equal to at least the EC investment;
  • At least 100 organizations participating actively in Big Data demonstrations (not necessarily as partners of the projects).

Deadline Date: 12 April 2016 17:00:00 (Brussels local time)

Type of action: IA Innovation action.

For topic conditions, documents and submission service, please visit:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/5097-ict-15-2016-2017.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 ready to share our experience, expertise and knowledge. If you need help to identify a potential partner with particular competences, facilities or experience, please explore and join our project, (HEALTH IT) SPACE, at www.healthitspace.eu.

Most Popular Now

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...

AI Body Composition Measurements can Pre…

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease...